Alternatives to IndexedDB
Compare IndexedDB alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to IndexedDB in 2026. Compare features, ratings, user reviews, pricing, and more from IndexedDB competitors and alternatives in order to make an informed decision for your business.
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1
RaimaDB
Raima
RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree. -
2
WatermelonDB
WatermelonDB
WatermelonDB is a reactive database framework designed to build powerful React and React Native apps that scale from hundreds to tens of thousands of records while remaining fast. It ensures instant app launch regardless of data volume, supports lazy loading to load data only when needed, and offers offline-first capabilities with synchronization to your own backend. It is multiplatform. Optimized for React, it allows easy integration of data into components and is framework-agnostic, enabling the use of its JavaScript API with other UI frameworks. Built on a robust SQLite foundation, WatermelonDB provides static typing with Flow or TypeScript and optional reactivity through an RxJS API. WatermelonDB addresses performance issues in complex applications by loading nothing until requested and performing all querying directly on SQLite on a separate native thread, ensuring most queries resolve instantly.Starting Price: Free -
3
Dexie
Dexie
Dexie.js is a minimalistic and bulletproof IndexedDB wrapper library designed to simplify client-side storage. At only ~29k minified and gzipped, it offers a concise API that addresses the complexities of native IndexedDB, such as ambivalent error handling, poor queries, lack of reactivity, and code complexity. Dexie.js provides a well-thought-through API design, robust error handling, extendability, change tracking awareness, and extended KeyRange support, including case-insensitive search, set matches, and OR operations. It embraces the IndexedDB specification and all its features, allowing developers to use existing IndexedDB data without the need for data migration. Dexie.js supports composable real-time queries, enabling components to mirror the database in real-time across various front-end frameworks like React, Svelte, Vue, and Angular. With Dexie Cloud, developers can build consistent, authenticated, and access-controlled local-first apps with just a few lines of extra code.Starting Price: Free -
4
Core Data
Apple
Use Core Data to save your application’s permanent data for offline use, to cache temporary data, and to add undo functionality to your app on a single device. To sync data across multiple devices in a single iCloud account, Core Data automatically mirrors your schema to a CloudKit container. Through Core Data’s Data model editor, you define your data’s types and relationships, and generate respective class definitions. Core Data can then manage object instances at runtime to provide several features. Core Data abstracts the details of mapping your objects to a store, making it easy to save data from Swift and Objective-C without administering a database directly. Core Data’s undo manager tracks changes and can roll them back individually, in groups, or all at once, making it easy to add undo and redo support to your app. Perform potentially UI-blocking data tasks, like parsing JSON into objects, in the background.Starting Price: Free -
5
Realm
Realm DB
Realm is a mobile-first, open source object database designed to run directly inside phones, tablets, and wearables. It provides a simple, object-oriented data model that eliminates the need for an ORM, allowing developers to define models as regular classes in languages like Swift, Java, Kotlin, C#, JavaScript, Dart, and C++. Realm's architecture ensures high performance and low memory usage by employing a zero-copy design, lazy loading, and multi-version concurrency control (MVCC) for thread-safe operations. It's live objects and collections automatically update across threads, enabling reactive programming patterns. Realm supports relationships between objects via links and backlinks, facilitating complex data structures. Developers can utilize tools like Realm Studio to inspect and manipulate local Realm databases and integrate Realm into various platforms, including React Native, Flutter, Xamarin, and Node.js.Starting Price: Free -
6
RxDB
RxDB
RxDB is a local-first, NoSQL JavaScript database optimized for modern web and mobile applications. It enables offline-first functionality by storing data directly on the client using storage engines like IndexedDB, OPFS, SQLite, and more. RxDB offers real-time reactivity, allowing developers to subscribe to changes in documents, fields, or queries, ensuring that UI components update automatically as data changes. Its flexible replication engine supports syncing with various backends and custom endpoints. RxDB integrates seamlessly with frameworks and environments. Additional features include field-level encryption, schema validation, conflict resolution, backup and restore, attachments, and CRDT support. By reducing server load and providing low-latency local queries, RxDB enhances performance and scalability, making it ideal for applications that require real-time updates, offline access, and cross-platform consistency.Starting Price: Free -
7
Snipp.in
Snipp.in
Snipp.in is an in-browser snippet manager and editor. Built with Vue.js, Dexie, and Monaco Editor. Snipp.in provides a clean and VSCode-like familiar interface to save notes, tasks and code snippets directly in the browser. All the data is stored within your browser tab (IndexedDB). There is no cloud backup available so far but you can still create backups and restore/share your content with others. Syntax highlighting, and easy-to-use document files using ProseMirror Editor. MultiWindow Editing (drag and drop files to the editor area to switch to the multi editor) Provides quick create (Ctrl+N) feature. Shortcuts for most of the actions (create, rename, and delete) Provides the ability to import and export your data. Compiles and hot-reloads for development. Compiles and minifies for production. You can use Snipp.in from Docker. You can change the host binding port from 80 to other ports.Starting Price: Free -
8
OrbitDB
OrbitDB
OrbitDB is a serverless, distributed, peer-to-peer database that utilizes IPFS for data storage and Libp2p Pubsub for automatic synchronization across peers. It employs Merkle-CRDTs to ensure conflict-free database writes and merges, making it suitable for decentralized applications, blockchain integrations, and local-first web apps. OrbitDB offers various database types tailored to different use cases: 'events' for immutable append-only logs, 'documents' for JSON document storage indexed by a specified key, 'keyvalue' for traditional key-value pairs, and 'keyvalue-indexed' for LevelDB-indexed key-value data. All these databases are built atop OpLog, an immutable, cryptographically verifiable, operation-based CRDT structure. The JavaScript implementation supports both browser and Node.js environments, with a Go version maintained by the Berty project.Starting Price: Free -
9
Perst
McObject
Perst is McObject’s open source, dual license, object-oriented embedded database system (ODBMS). It is available in one edition developed as an all-Java embedded database, and another implemented in C# (for Microsoft .NET Framework applications). Perst gives developers the ability to store, sort, and retrieve objects in their applications with maximum speed and with low memory and storage overhead while leveraging the object-oriented paradigm of Java and C#. In the TestIndex and PolePosition benchmarks, Perst displays one of its strongest features: its significant performance advantage over Java and .NET embedded database alternatives. Perst stores data directly in Java and .NET objects, eliminating the translation required for storage in relational and object-relational databases. This boosts run-time performance. Perst’s core consists of only five thousand lines of code. The small footprint imposes minimal demands on system resources.Starting Price: Free -
10
RazorSQL
RazorSQL
RazorSQL is an SQL query tool, database browser, SQL editor, and database administration tool for Windows, macOS, Mac OS X, Linux, and Solaris. RazorSQL has been tested on over 40 databases, can connect to databases via either JDBC or ODBC. Browse database objects such as schemas, tables, columns, primary and foreign keys, views, indexes, procedures, functions, and more. Visual tools to create, alter, describe, execute, and drop database objects such as tables, views, indexes, stored procedures, functions, triggers, and more. Includes multi-tabular display of queries with options for filtering, sorting, searching, and much more. Import data from various formats such as delimited files, Excel spreadsheets, and fixed-width files. Includes a robust relational database (HSQLDB) that is up and running with no manual configuration out of the box.Starting Price: $99.95 one-time payment -
11
EraDB
Era Software
EraDB is a database architecture built on the core principles of decoupled storage and compute, true zero-schema data storage, and flexible indexing powered by machine learning, all of which allow you to significantly reduce the size, cost, and complexity of your data while still giving you lightning-fast queries across vast datasets. We automatically index on every dimension, so you never have to decide today what you want to query tomorrow EraDB is schemaless by design, so we can store your data regardless of whether it’s consistently-structured. Built for flexibility, EraDB supports pluggable front- and back-end systems. Technologically-limited storage engines cannot efficiently handle complex data, so they crash or slow to a crawl. -
12
DBF Manager
Astersoft
This is an advanced DBF data management solution for all database users. It is packed with features normally found only in top-end software. The built-in dbf editor of DBF Manager offers safe and secure access to the internals of the dBase dbf file format. It is crammed full of highly sophisticated features including comprehensive support for data structure modification. The sophisticated data editing, data conversion and search-replace features are all carefully tailored to suit each data type of interest. DBF Manager has a comprehensive set of database index-related tools. For example, the easy-to-use index manager will perform on-the-fly re-indexing and index rebuilds from an open dbf file as well as allowing a wide variety of index file types to be opened, modified, and viewed. A print dbf structure feature is included in the extensive index file manager feature set.Starting Price: $44.95 -
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LlamaIndex
LlamaIndex
LlamaIndex is a “data framework” to help you build LLM apps. Connect semi-structured data from API's like Slack, Salesforce, Notion, etc. LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models. LlamaIndex provides the key tools to augment your LLM applications with data. Connect your existing data sources and data formats (API's, PDF's, documents, SQL, etc.) to use with a large language model application. Store and index your data for different use cases. Integrate with downstream vector store and database providers. LlamaIndex provides a query interface that accepts any input prompt over your data and returns a knowledge-augmented response. Connect unstructured sources such as documents, raw text files, PDF's, videos, images, etc. Easily integrate structured data sources from Excel, SQL, etc. Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs. -
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Amazon S3 Vectors
Amazon
Amazon S3 Vectors is the first cloud object store with native support for storing and querying vector embeddings at scale, delivering purpose-built, cost-optimized vector storage for semantic search, AI agents, retrieval-augmented generation, and similarity-search applications. It introduces a new “vector bucket” type in S3, where users can organize vectors into “vector indexes,” store high-dimensional embeddings (representing text, images, audio, or other unstructured data), and run similarity queries via dedicated APIs, all without provisioning infrastructure. Each vector may carry metadata (e.g., tags, timestamps, categories), enabling filtered queries by attributes. S3 Vectors offers massive scale; now generally available, it supports up to 2 billion vectors per index and up to 10,000 vector indexes per bucket, with elastic, durable storage and server-side encryption (SSE-S3 or optionally KMS). -
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With Database Management Solutions for IMS™ for z/OS®, you'll experience faster data retrieval, quickly create and rebuild indexes, implement secondary indexes on Fast Path databases, minimize backup and recovery times, increase data availability, conserve CPU resources and provide consistent, secure data that can be recovered in minimal time. Ease the burden of managing and maintaining IMS structures and help increase productivity. Create secure backups, establish recovery procedures and execute disaster recovery. Use sophisticated analysis to help keep IMS structures performing optimally. You can depend on our IMS Database Management Solutions to optimize and automate database performance for reduced backup and recovery times, more efficient CPU usage, faster data retrieval or recovery, and better data availability.
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dbForge Index Manager
Devart
dbForge Index Manager for SQL Server is an intuitive tool aimed to help database specialists easily detect and address index fragmentation issues. It collects index fragmentation statistics and presents it in a user-friendly visual interface, identifies indexes that require maintenance, and offers recommendations for resolving problems. Key Features: - Get a thorough insight into the status of database indexes - Fix index fragmentation based on fragmentation severity - Rebuild or reorganize indexes based on their thresholds - Generate scripts to execute index-related commands - Export index analysis results to report on fragmentation - Detect the fragmentation of indexes across databases - Use the command-line interface to automate routine tasksStarting Price: $119.95 -
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HugeGraph
HugeGraph
HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin (a powerful graph traversal language). Among its features, it provides compliance to Apache TinkerPop 3, supporting Gremlin. Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel. Multi-type Indexes, supporting exact query, range query and complex conditions combination query. Plug-in Backend Store Driver Framework, supporting RocksDB, Cassandra, ScyllaDB, HBase and MySQL now and easy to add other backend store driver if needed. Integration with Hadoop/Spark. HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax. -
18
txtai
NeuML
txtai is an all-in-one open source embeddings database designed for semantic search, large language model orchestration, and language model workflows. It unifies vector indexes (both sparse and dense), graph networks, and relational databases, providing a robust foundation for vector search and serving as a powerful knowledge source for LLM applications. With txtai, users can build autonomous agents, implement retrieval augmented generation processes, and develop multi-modal workflows. Key features include vector search with SQL support, object storage integration, topic modeling, graph analysis, and multimodal indexing capabilities. It supports the creation of embeddings for various data types, including text, documents, audio, images, and video. Additionally, txtai offers pipelines powered by language models that handle tasks such as LLM prompting, question-answering, labeling, transcription, translation, and summarization.Starting Price: Free -
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Kernel for SQL Database Recovery
KernelApps
Recover data from damaged SQL MDF and NDF files and get a preview of recovered objects before saving them. Compatibility with all SQL server versions makes this the go-to choice for administrators & experts worldwide. When your SQL MDF database faces corruption, our tool becomes your data savior. The software scans and retrieves all database objects, including tables, views, triggers, and more, from corrupted MDF files. It offers a preview feature to ensure you recover essential elements, such as primary keys, stored procedures, indexes, and user data types. Trust the tool to restore your database seamlessly, preserving its integrity and structure throughout the recovery process. In critical situations demanding prompt recovery and restoration of a corrupted SQL database to a live server, use Kernel for SQL Database Recovery software. -
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Milvus
Zilliz
Vector database built for scalable similarity search. Open-source, highly scalable, and blazing fast. Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models. With Milvus vector database, you can create a large-scale similarity search service in less than a minute. Simple and intuitive SDKs are also available for a variety of different languages. Milvus is hardware efficient and provides advanced indexing algorithms, achieving a 10x performance boost in retrieval speed. Milvus vector database has been battle-tested by over a thousand enterprise users in a variety of use cases. With extensive isolation of individual system components, Milvus is highly resilient and reliable. The distributed and high-throughput nature of Milvus makes it a natural fit for serving large-scale vector data. Milvus vector database adopts a systemic approach to cloud-nativity, separating compute from storage.Starting Price: Free -
21
SQL Defrag Manager
IDERA, an Idera, Inc. company
Automatically find and fix database index fragmentation. Database administrators for SQL Server need to maintain the high availability and performance of their databases. Key areas that dramatically affect the performance of SQL Server are indexes that are fragmented and out of cluster. SQL Defrag Manager is a unique solution for defragmenting indexes for SQL Server. It automates the time-consuming process of finding fragmented indexes based on policies for the targeted databases.Starting Price: $1,196 per instance -
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Sphinx
Sphinx
Sphinx is an open source full text search server, designed from the ground up with performance, relevance (aka search quality), and integration simplicity in mind. It's written in C++ and works on Linux (RedHat, Ubuntu, etc), Windows, MacOS, Solaris, FreeBSD, and a few other systems. Sphinx lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily, or index and search data on the fly, working with Sphinx pretty much as with a database server. A variety of text processing features enable fine-tuning Sphinx for your particular application requirements, and a number of relevance functions ensures you can tweak search quality as well. Searching via SphinxAPI is as simple as 3 lines of code, and querying via SphinxQL is even simpler, with search queries expressed in good old SQL. Sphinx indexes up to 10-15 MB of text per second per single CPU core, that is 60+ MB/sec per server (on a dedicated indexing machine). -
23
Navicat for MongoDB
Navicat
Available for all database objects such as Collections, Views, Functions, Indexes, GridFS, and MapReduce. Our professional object designer allows you to create, modify, and design database objects, all without writing a script. Navicat for MongoDB is designed to streamline your routine database tasks. The new interface is easy to access and understand -- giving you new ways to manage your MongoDB databases and making your work more efficient than ever. Available for all database objects such as Collections, Views, Functions, Indexes, GridFS, and MapReduce. Our professional object designer allows you to create, modify, and design database objects, all without writing a script. -
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SQL Index Manager
Redgate Software
SQL Index Manager lets you quickly and easily find out the status of your indexes and discover which databases need maintenance. You can do maintenance through the UI, or generate a T-SQL script to run in SQL Server Management Studio. Detect index fragmentation to get a full report on indexes across your databases, including the severity of fragmentation and the reasons for it. Fix fragmentation by choosing which indexes to fix based on fragmentation severity – SQL Index Manager will perform the operation for you. Reorganize or rebuild by setting which action to take, based on customizable rebuild and reorganization thresholds, and rebuild indexes online with SQL Server Enterprise Edition. Analyze over time by exporting the results of your analysis to track and report on fragmentation. Generate scripts by automatically generating T-SQL scripts to fix fragmentation. Start rebuilding or reorganizing selected indexes with a single click.Starting Price: $242 per user -
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Recoveryfix for SQL Database Recovery
Recoveryfix
Recoveryfix for SQL Database Recovery is an efficient software to repair all SQL database corruption issues. The tool effectively repairs corrupt or damaged MDF files of SQL Server. MDF files are primary data files of SQL databases that store user data and objects. MDF files get corrupted due to various reasons, such as corrupt database file header, internal program error, storage media damage, power failure, sudden application exit, etc. The software effectively repairs all MDF corruption issues in almost every condition. The tool is embedded with advanced algorithms to perform complete and accurate recovery of all SQL database objects including tables, views, triggers, stored procedures, indexes, rules, constraints, default constraints, user-defined functions & user-defined data types. The software ensures that the configuration and properties of all SQL database objects remain intact after recovery.Starting Price: $299 one-time payment -
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SpectX
SpectX
SpectX is a powerful log analyzer for incident investigation and data exploration. It does not ingest or index data but runs queries directly on log files stored in file systems or blob storage. Local log servers, cloud storage, Hadoop clusters, JDBC-databases, production servers, Elastic clusters, or anything that speaks HTTP - SpectX turns any text-based log files into structured virtual views. SpectX query language is inspired by piping in Unix. An extensive library of built-in query functions allows analysts to compose complex queries and get advanced insights. In addition to the browser-based interface, every query can be easily executed via RESTful API, with advanced options to customize the resultset. This makes it easy to integrate SpectX with other applications in need of clean and structured data. SpectX easy-to-read pattern matching language can flexibly match any data, no need to read or write regex.Starting Price: $79/month -
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VelocityDB
VelocityDB
VelocityDB is a database engine like no other. It can store data faster and more efficiently than any other solution at a fraction of the cost of other database engines. It stores .NET objects as they are with no mapping to tables, JSON or XML. VelocityGraph is an add on open source property graph database that can be used in conjunction with the VelocityDB object database. Object and graph database engine VelocityDB is a C# .NET noSQL object fatabase, extended as graph database is VelocityGraph. World’s fastest most scalable & flexible database. A bug reported with a reproducible test case is usually fixed within a week. The most important benefit is the flexibility that this database system provides. No other types of database system lets you fine tune your application to the finest details. Using VelocityDB, you can choose the best possible data structures for your application. You can control where you place the data persistently and how it's indexed and accessed.Starting Price: $200 per 6 moths -
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Textstor
CMS Software
Textstor Enterprise Report Management & Electronic Document Management software is a set of custom designed processes whereby computer generated output such as accounting reports, purchase & sales invoices are captured, indexed and stored electronically. It is developed in-house at CMS Software and is designed to overcome the problems associated with storing and accessing large volumes of paper. Textstor provides a cost effective way of storing the documents for quick and easy retrieval. It takes documents (report spool files, TIF, PDF etc.) generated on computers such as AS400, Mainframe, Unix, Linux and Windows, indexes and archives them to a network server giving secure access to specified users across the local area and wide area networks. Indexed searches provide users with rapid access to the archived documents, offering improved efficiency, better security, and significant cost savings over traditional paper storage. -
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LanceDB
LanceDB
LanceDB is a developer-friendly, open source database for AI. From hyperscalable vector search and advanced retrieval for RAG to streaming training data and interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application. Installs in seconds and fits seamlessly into your existing data and AI toolchain. An embedded database (think SQLite or DuckDB) with native object storage integration, LanceDB can be deployed anywhere and easily scales to zero when not in use. From rapid prototyping to hyper-scale production, LanceDB delivers blazing-fast performance for search, analytics, and training for multimodal AI data. Leading AI companies have indexed billions of vectors and petabytes of text, images, and videos, at a fraction of the cost of other vector databases. More than just embedding. Filter, select, and stream training data directly from object storage to keep GPU utilization high.Starting Price: $16.03 per month -
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Nucleon Database Master
Nucleon Software
Nucleon Database Master is a modern, powerful, intuitive and easy to use database query, administration, and management software with a consistent and modern user interface. Database Master simplifies managing, monitoring, querying, editing, visualizing, designing relational and NoSQL DBMS. Database Master allows you to execute extended SQL, JQL and C# (Linq) query scripts, provides all database objects such as tables, views, procedures, packages, columns, indexes, relationships (constraints), collections, triggers and other database objects.Starting Price: $99 one-time payment -
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Vald
Vald
Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed. Usually the graph requires locking during indexing, which cause stop-the-world. But Vald uses distributed index graph so it continues to work during indexing. Vald implements its own highly customizable Ingress/Egress filter. Which can be configured to fit the gRPC interface. Horizontal scalable on memory and cpu for your demand. Vald supports to auto backup feature using Object Storage or Persistent Volume which enables disaster recovery.Starting Price: Free -
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Bibliovation
LibLime
One simple to use, powerful search tool that reaches your library’s full universe of physical and digital assets to retrieve relevant search results. The user experience transforms from the frustration of multiple database searches with search rules and different search results lists, to the satisfaction of a single search that combines relevant results from unified indexes, independent databases, library catalogs, and local digital collections. The Bibliovation Library Services Platform (LSP) is a highly flexible, unified software system offered as a SaaS solution. The entire platform is 100% web-based, providing mobile access from all devices. Bibliovation uses relational databases storing all data types, including bibliographic, patron, transaction, acquisitions, and digital objects. By design, Bibliovation is highly customizable to support a variety of different library workflows. -
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CollectionsIndex+
CollectionsIndex+
CollectionsIndex+ is a modular software system for collections and content management, handling your objects, archives, books, images, video, digital assets, and web and gallery content. System Simulation provides a whole range of collections management products covering books, archives and museum objects: BooksIndex+, ArchiveIndex+, and useumIndex+. We also provide enterprise-strength products for digital image and digital asset management: ImageIndex+ and AssetIndex+. Although all of these products are often deployed individually, they are also fully compatible and can be deployed as a powerful suite of integrated modules that complement each other. -
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Amazon SimpleDB
Amazon
Amazon SimpleDB is a highly available NoSQL data store that offloads the work of database administration. Developers simply store and query data items via web services requests and Amazon SimpleDB does the rest. Unbound by the strict requirements of a relational database, Amazon SimpleDB is optimized to provide high availability and flexibility, with little or no administrative burden. Behind the scenes, Amazon SimpleDB creates and manages multiple geographically distributed replicas of your data automatically to enable high availability and data durability. The service charges you only for the resources actually consumed in storing your data and serving your requests. You can change your data model on the fly, and data is automatically indexed for you. With Amazon SimpleDB, you can focus on application development without worrying about infrastructure provisioning, high availability, software maintenance, schema and index management, or performance tuning. -
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QuestDB
QuestDB
QuestDB is a relational column-oriented database designed for time series and event data. It uses SQL with extensions for time series to assist with real-time analytics. These pages cover core concepts of QuestDB, including setup steps, usage guides, and reference documentation for syntax, APIs and configuration. This section describes the architecture of QuestDB, how it stores and queries data, and introduces features and capabilities unique to the system. Designated timestamp is a core feature that enables time-oriented language capabilities and partitioning. Symbol type makes storing and retrieving repetitive strings efficient. Storage model describes how QuestDB stores records and partitions within tables. Indexes can be used for faster read access on specific columns. Partitions can be used for significant performance benefits on calculations and queries. SQL extensions allow performant time series analysis with a concise syntax. -
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Marqo
Marqo
Marqo is more than a vector database, it's an end-to-end vector search engine. Vector generation, storage, and retrieval are handled out of the box through a single API. No need to bring your own embeddings. Accelerate your development cycle with Marqo. Index documents and begin searching in just a few lines of code. Create multimodal indexes and search combinations of images and text with ease. Choose from a range of open source models or bring your own. Build interesting and complex queries with ease. With Marqo you can compose queries with multiple weighted components. With Marqo, input pre-processing, machine learning inference, and storage are all included out of the box. Run Marqo in a Docker image on your laptop or scale it up to dozens of GPU inference nodes in the cloud. Marqo can be scaled to provide low-latency searches against multi-terabyte indexes. Marqo helps you configure deep-learning models like CLIP to pull semantic meaning from images.Starting Price: $86.58 per month -
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IRISmart File
IRIS
Semi-automatic naming and classification of your files: sort your stacks of documents efficiently into specific predefined folders in no time! (local or Cloud storage). Automatic creation, on the fly, of file storage tree structures, based on the root name of documents for easy and efficient filing. Process your documents at speeds of up to 30 pages per minute; includes the ability to rename, file, index, and compress a significant amount per day by running parallel batches in the background. Automatic separation of your various documents with blank pages: during scanning, insert blank pages between the documents you want to separate. IRISmart detects and creates automatic breaks exactly where you put them! Optimised archiving and searching via automatic conversion of your compressed and indexed PDF documents on the fly, while maintaining perfect legibility of the text. -
38
RushDB
RushDB
RushDB is an open-source zero-configuration graph database that instantly transforms JSON and CSV into a fully normalized, queryable Neo4j graph - without the overhead of schema design, migrations, or manual indexing. Designed for modern applications, AI, and ML workflows, RushDB provides a frictionless developer experience, combining the flexibility of NoSQL with the structured power of relational databases. With automatic data normalization, ACID compliance, and a powerful API, RushDB eliminates the complexities of data ingestion, relationship management, and query optimization - so you can focus on building, not database administration. Key Features: 1. Zero Configuration, Instant Data Ingestion 2. Graph-Powered Storage & Queries 3. ACID Transactions & Schema Evolution 4. Developer-Centric API: Query Like an SDK 5. High-Performance Search & Analytics 6. Self-Hosted or Cloud-ReadyStarting Price: $9/month -
39
PawSQL
PawSQL
PawSQL integrates the best practices of query optimization in database industry, provides advanced SQL rewrite optimization, and sophisticate index recommendation capabilities for slow queries. Based on the professional PawSQL optimization engine (used by more than 10,000 database practitioners around the world), it provides rich SQL optimization suggestions and intelligent index recommendations. PawSQL provides a comprehensive and balanced audit rule set for multiple databases such as MySQL, PostgreSQL, openGauss, Oracle, etc., providing enterprises with a consistent audit experience no matter how diverse their database environment is. Rule-based SQL review, covering potential correctness and performance optimization issues. Rich rewrite optimization, recommending semantically equivalent but more efficient SQL queries. Cost-based verification ensures that new solutions based on SQL rewrite and index recommendation have better performance. Intelligent index recommendation. -
40
BergDB
BergDB
Welcome! BergDB is a Java/.NET database designed to be simple and efficient. It was created for us developers who prefer to focus on our specific task, rather then spend time on database issues. BergDB has: simple key-value storage, ACID transactions, historic queries, efficient concurrency control, secondary indexes, fast append-only storage, replication, transparent object serialization and more. BergDB is an embedded, open-source, document-oriented, schemaless, NoSQL database. BergDB is built from the ground up to execute transactions exceptionally fast. And there are no compromises, all writes to the database are made in ACID transactions with the highest possible level of consistency (in SQL-speak: serializable isolation level). Historic queries are important when previous data states are of interest, and also as a fast way to handle concurrency. A read operation never locks anything in BergDB. -
41
Findkit
Findkit
Findkit is an ultimate site search solution that's adaptable, fast, and exceptionally simple to deploy. Whether you manage a single domain or a network of websites, Findkit's cloud-based crawler and scalable search API can integrate vast amounts of data into a cohesive search index in just minutes. With Findkit, you get a CORS-compatible API and an open-source JavaScript UI library, making it easy to create a seamless search interface tailored to your needs. Plus, it's fully compatible with any framework or CMS, boasting an additional WordPress plugin for even more convenience. Findkit is a white-label product. Take advantage of Findkit's free plan to experience the benefits without upfront costs. Customize your search with language-aware indexing, content tagging, and real-time updates to keep your index aligned with your site's content. As your needs grow, Findkit's simple pricing scales with you, offering larger index sizes and enhanced support at competitive rates.Starting Price: €59/month -
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dbForge Documenter is a professional tool that automates database documenting and generates detailed up-to-date documentation. Users can schedule regular updates and export the documentation in several customizable, user-friendly formats. Key Features: - Accelerate routine tasks with integrated AI Assistant - Generate SQL database documentation in HTML, PDF and other formats - Eliminate tiring and laborious manual creation of documentation - Distribute documentation automatically through the command line - Customize layouts with WYSIWYG-based templates - View and inspect inter-object dependencies - Include or change object descriptions - Display the largest tables and indexes - Overview database schemasStarting Price: $169.95
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RediSearch
Redis
Redis Enterprise includes a powerful real-time indexing, querying, and full-text search engine available on-premises and as a managed service in the cloud. Redis real-time search supports fast indexing and ingestion. It’s engineered for performance using in-memory data structures implemented in C. Scale out and partition indexes over several shards and nodes for greater speed and memory capacity. Enjoy continued operations in any scenario with five-nines availability and Active-Active failover. Redis Enterprise real-time search allows you to quickly create primary and secondary indexes on Hash and JSON datasets using an incremental indexing approach for fast index creation and deletion. The indexes let you query data at top speed, perform complex aggregations, filter by properties, numeric ranges as well as geographical distance. -
44
Galactica
The Shams Group
Galactica is a versatile document imaging and archiving software that assists organizations in managing the move toward a more digital workplace. With powerful batch scanning and OCR capabilities, this centralized data repository doesn’t just ensure that you can find the right documents easily; it eliminates the hassle of indexing and can support the digital record management needs of every department across an enterprise. Ultimately, Galactica will help you turn folders, file cabinets, and paper records within any department into structured electronic data that can be stored virtually, retrieved quickly, and shared easily. Retrieve documents in seconds with enhanced tools that search and identify pertinent content for you. Digitizing archives allows staff across your enterprise to save time and focus on patients rather than processes. Rapidly index high volumes of documents with agile batch scanning and automatic archiving tools. -
45
Cognee
Cognee
Cognee is an open source AI memory engine that transforms raw data into structured knowledge graphs, enhancing the accuracy and contextual understanding of AI agents. It supports various data types, including unstructured text, media files, PDFs, and tables, and integrates seamlessly with several data sources. Cognee employs modular ECL pipelines to process and organize data, enabling AI agents to retrieve relevant information efficiently. It is compatible with vector and graph databases and supports LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include customizable storage options, RDF-based ontologies for smart data structuring, and the ability to run on-premises, ensuring data privacy and compliance. Cognee's distributed system is scalable, capable of handling large volumes of data, and is designed to reduce AI hallucinations by providing AI agents with a coherent and interconnected data landscape.Starting Price: $25 per month -
46
Aleph.im
Aleph.im
Keep your dApp running smoothly, thanks to our reliable web3 cloud solution. Run your data storage and business logic on our unstoppable decentralized network. Instead of a centralized service such as AWS or Google Cloud. Consider using the Aleph Indexer Framework for indexing blockchain data. It's open-source, multi-chain, and provides an easy-to-use solution for building high-performance, decentralized indexers on Aleph.im's infrastructure. -
47
NVIDIA NeMo Retriever
NVIDIA
NVIDIA NeMo Retriever is a collection of microservices for building multimodal extraction, reranking, and embedding pipelines with high accuracy and maximum data privacy. It delivers quick, context-aware responses for AI applications like advanced retrieval-augmented generation (RAG) and agentic AI workflows. As part of the NVIDIA NeMo platform and built with NVIDIA NIM, NeMo Retriever allows developers to flexibly leverage these microservices to connect AI applications to large enterprise datasets wherever they reside and fine-tune them to align with specific use cases. NeMo Retriever provides components for building data extraction and information retrieval pipelines. The pipeline extracts structured and unstructured data (e.g., text, charts, tables), converts it to text, and filters out duplicates. A NeMo Retriever embedding NIM converts the chunks into embeddings and stores them in a vector database, accelerated by NVIDIA cuVS, for enhanced performance and speed of indexing. -
48
docMgt
docMgt
docMgt is a web-based document management system designed for mobile and desktop users. It is the perfect low-code platform for developing and deploying business applications in your organization. Simple, web-based interface for users to create, store, search, retrieve and manage their documents and forms. Workflow to improve document-driven processes by keeping information moving and providing accountability. Electronic Forms to help organizations manage the creation, collection and storage of information. Collaboration portals provide a way to communicate and collaborate with external users in a simple and manageable way. Quick and efficient process to load and index documents using simple drag and drop actions and click indexing techniques. Full-featured Retention system for specifying how to manage document and information lifespans. docMgt has built-in features that are perfect for managing processes for auto dealerships. -
49
ChaosSearch
ChaosSearch
Log analytics should not break the bank. Because most logging solutions use one or both of these technologies - Elasticsearch database and/ or Lucene index - the cost of operation is unreasonably high. ChaosSearch takes a revolutionary approach. We reinvented indexing, which allows us to pass along substantial cost savings to our customers. See for yourself with this price comparison calculator. ChaosSearch is a fully managed SaaS platform that allows you to focus on search and analytics in AWS S3 rather than spend time managing and tuning databases. Leverage your existing AWS S3 infrastructure and let us do the rest. Watch this short video to learn how our unique approach and architecture allow ChaosSearch to address the challenges of today’s data & analytic requirements. ChaosSearch indexes your data as-is, for log, SQL and ML analytics, without transformation, while auto-detecting native schemas. ChaosSearch is an ideal replacement for the commonly deployed Elasticsearch solutions.Starting Price: $750 per month -
50
Oracle AI Vector Search
Oracle
Oracle AI Vector Search is a capability within Oracle Database designed for AI workloads that enables querying data based on semantics or meaning rather than traditional keyword matching. It allows organizations to search both structured and unstructured data using similarity search, making it possible to retrieve results based on contextual relevance instead of exact values. It uses vector embeddings to represent data such as text, images, or documents, and applies specialized vector indexes and distance functions to efficiently identify similar items. It introduces a native VECTOR data type, along with SQL operators and syntax that allow developers to combine semantic search with relational queries on business data in a single database environment. This eliminates the need for separate vector databases and reduces data fragmentation by keeping AI and operational data unified.
