Alternatives to SQLite

Compare SQLite alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to SQLite in 2026. Compare features, ratings, user reviews, pricing, and more from SQLite competitors and alternatives in order to make an informed decision for your business.

  • 1
    Google Cloud SQL
    Fully managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems. New customers get $300 in free credits to spend on Cloud SQL. You won’t be charged until you upgrade. Reduce maintenance costs with fully managed MySQL, PostgreSQL and SQL Server databases. Ensure business continuity with reliable and secure services backed by 24/7 SRE team. Data encryption at rest and in transit. Private connectivity with Virtual Private Cloud and user-controlled network access with firewall protection. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA. Scale your instances effortlessly with a single API call whether you start with simple testing or you need a highly available database in production. Simplify database operations with AI-powered assistance in Gemini, now in preview on Cloud SQL. It streamlines development, performance optimization, fleet management, governance, and migration.
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  • 2
    Ditto

    Ditto

    Ditto

    Ditto is the only mobile database with built-in edge device connectivity and resiliency, enabling apps to synchronize without relying on a central server or constant cloud connectivity. Through the use of CRDTs and P2P mesh replication, Ditto's technology enables you to build collaborative, resilient applications where data is always available and up-to-date for every user, and can even be synced in completely offline situations. This allows you to keep mission-critical systems online when it matters most. Devices running Ditto apps can discover and communicate with each other directly, forming an ad-hoc mesh network rather than routing everything through a cloud server. The platform automatically handles the complexity of discovery and connectivity using both online and offline channels – Bluetooth, peer-to-peer Wi-Fi, local LAN, WiFi, Cellular – to find nearby devices and sync data changes in real-time.
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  • 3
    DbVisualizer

    DbVisualizer

    DbVisualizer

    DbVisualizer is one of the world's most popular database editors. With almost 7 million downloads and Pro users in 150 countries worldwide, it won't disappoint you. Free and Pro versions are available. Developers, analysts, and DBAs use it to elevate their SQL experience with modern tools to visualize and manage their databases, schemas, objects, and table data, auto-generate, write, and optimize queries, and so much more. It connects to all popular databases, such as MySQL, PostgreSQL, SQL Server, Oracle, Cassandra, Snowflake, SQLite, BigQuery, and 30+ others, and runs on all popular OSes (Windows, macOS, and Linux). A powerful SQL editor with intelligent autocomplete, visual query builders, variables, and more. You can fully control window layouts, key bindings, UI theme, mark scripts, and database objects as favorites for quick access or even work outside of DbVisualizer. DbVisualizer is also built to meet rigorous security standards, all configurable within the product.
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  • 4
    RaimaDB

    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.
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  • 5
    InterBase

    InterBase

    Embarcadero

    Ultrafast, scalable, embeddable SQL database with commercial-grade data security, disaster recovery, and change synchronization. Cross-platform, zero-install, embedded database as a direct-access library. Cross-platform, zero-install, embedded database with database-level and column-level AES and DES encryption. Concurrent applications/client access to the database on Windows with database-level and column-level AES and DES encryption. Ultrafast, scalable, SQL server database for Windows and Linux with commercial-grade data security, disaster recovery and change synchronization. Attacks on databases and loss of data can be costly and lead to loss of customers’ trust (and business), regulatory action, and heavy fines. InterBase provides over-the-wire and at-rest encryption, separate security login, and role-based user security. InterBase maintains full on-disk encryption while adding negligible overhead to database speed and performance.
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    Redis

    Redis

    Redis Labs

    Redis Labs: home of Redis. Redis Enterprise is the best version of Redis. Go beyond cache; try Redis Enterprise free in the cloud using NoSQL & data caching with the world’s fastest in-memory database. Run Redis at scale, enterprise grade resiliency, massive scalability, ease of management, and operational simplicity. DevOps love Redis in the Cloud. Developers can access enhanced data structures, a variety of modules, and rapid innovation with faster time to market. CIOs love the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis. Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set. Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.
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    VistaDB

    VistaDB

    VistaDB

    Microsoft has worked hard to make .NET and SQL Server a powerful combination and VistaDB brings that capability to a small, easy-to-deploy package. The VistaDB engine is a single, small managed assembly you deploy with your app and each database is a single file. Using Xamarin, you can fit a full RDBMS on your phone. VistaDB is a fully compliant ADO.NET data provider with support for Entity Framework, ADO.NET, and Typed Datasets as well as its own direct data access API for efficient cursor-based operations. Thanks to ADO.NET, VistaDB is already compatible with a wide range of third-party ORMs, reporting systems, and more. VistaDB fully supports the ADO.NET provider factory model allowing you to write one codebase that can target either VistaDB or SQL Server at runtime. Think of all the things built on top of ADO.NET, not just your application but reporting systems, ORMs, and other data-driven libraries for .NET.
    Starting Price: $1,595 per year
  • 8
    dBASE

    dBASE

    dBase, LLC

    The dBASE® 2019 product has been OPTIMIZED to make development easier, faster, and frankly more fun! Whenever, you see Creature Feature, you know we have added new capability to make your job better. dBASE® 2019 release is focused on OPTIMIZATION of the entire product but it includes many great features for the IDE. We have also added new capabilities with the Compiler functionality. We have enhanced how you develop in the Editor. Plus we implemented the #1 requested component and finally we end with a general overhaul to ADO. The IDE is where the magic happens, why not give users a say in how it works? 80% of the time is spent in the editor, while 20% is in graphical designers. The IDE has been optimized with new and updated features.
    Starting Price: $499.00/one-time/user
  • 9
    rqlite

    rqlite

    rqlite

    The lightweight, user-friendly, distributed relational database built on SQLite. Fault tolerance and high availability with zero hassle. rqlite is a distributed relational database that combines the simplicity of SQLite with the robustness of a fault-tolerant, highly available system. It's developer-friendly, its operation is straightforward, and it's designed for reliability with minimal complexity. Deploy in seconds, with no complex configurations. Seamlessly integrates with modern cloud infrastructures. Built on SQLite, the world’s most popular database. Supports full-text search, Vector Search, and JSON documents. Access controls and encryption for secure deployments. Rigorous, automated testing ensures high quality. Clustering provides high availability and fault tolerance. Automatic node discovery simplifies clustering.
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    DuckDB

    DuckDB

    DuckDB

    Processing and storing tabular datasets, e.g. from CSV or Parquet files. Large result set transfer to client. Large client/server installations for centralized enterprise data warehousing. Writing to a single database from multiple concurrent processes. DuckDB is a relational database management system (RDBMS). That means it is a system for managing data stored in relations. A relation is essentially a mathematical term for a table. Each table is a named collection of rows. Each row of a given table has the same set of named columns, and each column is of a specific data type. Tables themselves are stored inside schemas, and a collection of schemas constitutes the entire database that you can access.
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    Core Data
    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
  • 12
    Firebird

    Firebird

    Firebird Foundation

    Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names, since 1981. The Firebird Project is a commercially independent project of C and C++ programmers, technical advisors and supporters developing and enhancing a multi-platform relational database management system based on the source code released by Inprise Corp (now known as Borland Software Corp) on 25 July, 2000. The Firebird Project supplies users, developers, and administrators with various kinds of documentation, from Quick Start guides to expert-level articles devoted to various aspects of Firebird.
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    eXtremeDB

    eXtremeDB

    McObject

    How is platform independent eXtremeDB different? - Hybrid data storage. Unlike other IMDS, eXtremeDB can be all-in-memory, all-persistent, or have a mix of in-memory tables and persistent tables - Active Replication Fabric™ is unique to eXtremeDB, offering bidirectional replication, multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud), compression to maximize limited bandwidth networks and more - Row & Columnar Flexibility for Time Series Data supports database designs that combine row-based and column-based layouts, in order to best leverage the CPU cache speed - Embedded and Client/Server. Fast, flexible eXtremeDB is data management wherever you need it, and can be deployed as an embedded database system, and/or as a client/server database system -A hard real-time deterministic option in eXtremeDB/rt Designed for use in resource-constrained, mission-critical embedded systems. Found in everything from routers to satellites to trains to stock markets worldwide
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    IndexedDB

    IndexedDB

    Mozilla

    ​IndexedDB is a low-level API for client-side storage of significant amounts of structured data, including files/blobs. This API uses indexes to enable high-performance searches of this data. While web storage is useful for storing smaller amounts of data, it is less useful for storing larger amounts of structured data. IndexedDB provides a solution. IndexedDB is a transactional database system, like an SQL-based Relational Database Management System (RDBMS). However, unlike SQL-based RDBMSes, which use fixed-column tables, IndexedDB is a JavaScript-based object-oriented database. IndexedDB lets you store and retrieve objects that are indexed with a key; any objects supported by the structured clone algorithm can be stored. You need to specify the database schema, open a connection to your database, and then retrieve and update data within a series of transactions. Like most web storage solutions, IndexedDB follows the same-origin policy.
    Starting Price: Free
  • 15
    MariaDB

    MariaDB

    MariaDB

    MariaDB Platform is a complete enterprise open source database solution. It has the versatility to support transactional, analytical and hybrid workloads as well as relational, JSON and hybrid data models. And it has the scalability to grow from standalone databases and data warehouses to fully distributed SQL for executing millions of transactions per second and performing interactive, ad hoc analytics on billions of rows. MariaDB can be deployed on prem on commodity hardware, is available on all major public clouds and through MariaDB SkySQL as a fully managed cloud database. To learn more, visit mariadb.com.
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    Oracle Berkeley DB
    Berkeley DB is a family of embedded key-value database libraries providing scalable high-performance data management services to applications. The Berkeley DB products use simple function-call APIs for data access and management. Berkeley DB enables the development of custom data management solutions, without the overhead traditionally associated with such custom projects. Berkeley DB provides a collection of well-proven building-block technologies that can be configured to address any application need from the hand-held device to the data center, from a local storage solution to a world-wide distributed one, from kilobytes to petabytes.
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    MonetDB

    MonetDB

    MonetDB

    Choose from a wide range of SQL features to realise your applications from pure analytics to hybrid transactional/analytical processing. When you're curious about what's in your data; when you want to work efficiently; when your deadline is closing: MonetDB returns query result in mere seconds or even less. When you want to (re)use your own code; when you need specialised functions: use the hooks to add your own user-defined functions in SQL, Python, R or C/C++. Join us and expand the MonetDB community spread over 130+ countries with students, teachers, researchers, start-ups, small businesses and multinational enterprises. Join the leading Database in Analytical Jobs and surf the innovation! Don’t lose time with complex installation, use MonetDB’s easy setup to get your DBMS up and running quickly.
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    PouchDB

    PouchDB

    PouchDB

    ​PouchDB is an open source JavaScript database inspired by Apache CouchDB, designed to run efficiently within the browser. It enables applications to store data locally while offline and synchronize it with CouchDB and compatible servers when back online, ensuring user data remains in sync across sessions. PouchDB supports cross-browser functionality, is lightweight, requires just a script tag and 46KB (gzipped) in the browser, and can be installed via npm. It is easy to learn, requiring some programming knowledge, and is fully open source, with development conducted openly on GitHub. PouchDB allows developers to build applications that function seamlessly offline and online, providing a consistent user experience regardless of network connectivity. It offers a simple API for creating, reading, updating, and deleting documents.
    Starting Price: Free
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    RocksDB

    RocksDB

    RocksDB

    RocksDB uses a log structured database engine, written entirely in C++, for maximum performance. Keys and values are just arbitrarily-sized byte streams. RocksDB is optimized for fast, low latency storage such as flash drives and high-speed disk drives. RocksDB exploits the full potential of high read/write rates offered by flash or RAM. RocksDB provides basic operations such as opening and closing a database, reading and writing to more advanced operations such as merging and compaction filters. RocksDB is adaptable to different workloads. From database storage engines such as MyRocks to application data caching to embedded workloads, RocksDB can be used for a variety of data needs.
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    PocketBase

    PocketBase

    PocketBase

    Embedded performant database with schema builder, data validations, real-time subscriptions, and easy-to-use REST API. Sanely store files locally or in S3 storage. Easily attach media to your database records and generate thumbs on the fly. Use as a standalone app or as Go framework, that you can extend via hooks to create your own custom portable backend. Provides official client SDKs for painless integration. PocketBase differs from other similar backend solutions like Firebase, Supabase, Nhost, etc. and doesn't support running cloud functions. Instead, PocketBase could be used as a Go framework that enables you to build your own custom app-specific business logic and still have a single portable executable at the end.
    Starting Price: Free
  • 21
    Realm

    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
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    SQL

    SQL

    SQL

    SQL is a domain-specific programming language used for accessing, managing, and manipulating relational databases and relational database management systems.
    Starting Price: Free
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    SQLAlchemy

    SQLAlchemy

    SQLAlchemy

    SQLAlchemy is the Python SQL toolkit and object-relational mapper that gives application developers the full power and flexibility of SQL. SQL databases behave less like object collections the more size and performance start to matter; object collections behave less like tables and rows the more abstraction starts to matter. SQLAlchemy aims to accommodate both of these principles. SQLAlchemy considers the database to be a relational algebra engine, not just a collection of tables. Rows can be selected from not only tables but also joins and other select statements; any of these units can be composed into a larger structure. SQLAlchemy's expression language builds on this concept from its core. SQLAlchemy is most famous for its object-relational mapper (ORM), an optional component that provides the data mapper pattern.
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    WatermelonDB

    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
  • 25
    Valentina Studio

    Valentina Studio

    Paradigma Software

    Create, administer, query and explore Valentina DB, MySQL, MariaDB, PostgreSQL and SQLite databases for FREE. Design business reports running in Valentina Studio Pro, on Valentina Server or in an application with an Application Developer Kit. Backward Engineering in Standard with forwarding Engineering in Valentina Studio Pro. Reverse engineering and create diagrams for existing databases. Add new objects to diagrams. Write SQL queries with auto-completion, color syntax. Define, manage, save favorite queries; access recent queries. Function browser dictionary of each function. Consoles for errors, warnings, and performance. Search, Export result records into CSV, JSON, Excel. Edit properties of multiple objects at the same time. Drill down to tables and fields; incredible fast searching. Reverse engineering and create diagrams for existing databases. Add new objects to diagrams. Add/drop users, and groups, and manage privileges.
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    Oracle TimesTen
    Oracle TimesTen In-Memory Database (TimesTen) delivers real time application performance (low response time and high throughput) by changing the assumptions around where data resides at runtime. By managing data in memory, and optimizing data structures and access algorithms accordingly, database operations execute with maximum efficiency achieving dramatic gains in responsiveness and throughput. With the introduction of TimesTen Scaleout, a shared nothing scale-out architecture based on the existing in-memory technology, TimesTen allows databases to transparently scale across dozens of hosts, reach hundreds of terabytes in size and support hundreds of millions of transactions per second without the need for manual database sharding or workload partitioning.
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    Aryson SQLite Database Recovery
    The SQLite Database Recovery is a powerful tool designed to repair and recover corrupt SQLite database files. It restores damaged or inaccessible database files and retrieves all data, including tables, indexes, triggers, and other important elements. Key features include recovering data from severely corrupted SQLite files, support for various SQLite versions, and an easy-to-use interface. The tool ensures data integrity during recovery and allows saving the repaired database in a new file, making it a reliable solution for SQLite database recovery needs.
    Starting Price: $119/user
  • 28
    H2

    H2

    H2

    Welcome to H2, the Java SQL database. In embedded mode, an application opens a database from within the same JVM using JDBC. This is the fastest and easiest connection mode. The disadvantage is that a database may only be open in one virtual machine (and class loader) at any time. As in all modes, both persistent and in-memory databases are supported. There is no limit on the number of database open concurrently, or on the number of open connections. The mixed mode is a combination of the embedded and the server mode. The first application that connects to a database does that in embedded mode, but also starts a server so that other applications (running in different processes or virtual machines) can concurrently access the same data. The local connections are as fast as if the database is used in just the embedded mode, while the remote connections are a bit slower.
  • 29
    Dqlite

    Dqlite

    Canonical

    Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. C-Raft is tuned to minimize transaction latency. C-Raft and dqlite are both written in C for maximum cross-platform portability. Published under the LGPLv3 license with a static linking exception for maximum compatibility. Includes common CLI pattern for database initialization and voting member joins and departures. Minimal, tunable delay for failover with automatic leader election. Disk-backed database with in-memory options and SQLite transactions.
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    SAP HANA
    SAP HANA in-memory database is for transactional and analytical workloads with any data type — on a single data copy. It breaks down the transactional and analytical silos in organizations, for quick decision-making, on premise and in the cloud. Innovate without boundaries on a database management system, where you can develop intelligent and live solutions for quick decision-making on a single data copy. And with advanced analytics, you can support next-generation transactional processing. Build data solutions with cloud-native scalability, speed, and performance. With the SAP HANA Cloud database, you can gain trusted, business-ready information from a single solution, while enabling security, privacy, and anonymization with proven enterprise reliability. An intelligent enterprise runs on insight from data – and more than ever, this insight must be delivered in real time.
  • 31
    LanceDB

    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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    SQLite Data Access Components
    Enjoy the highest performance and unlimited possibilities when working with SQLite. SQLite Data Access Components (LiteDAC) is a library of components that provides native connectivity to SQLite from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. LiteDAC is designed for programmers to develop truly cross-platform desktop and mobile SQLite database applications with no need to deploy any additional libraries. LiteDAC-based DB applications are easy to deploy and do not require the installation of other data provider layers (such as BDE or ODBC), and that's why they can work faster than the ones based on standard Delphi data connectivity solutions. Moreover, LiteDAC provides an additional opportunity to work with SQLite in Delphi and C++Builder directly by linking the client library statically in your application.
    Starting Price: $169.95 per year
  • 33
    SingleStore

    SingleStore

    SingleStore

    SingleStore (formerly MemSQL) is a distributed, highly-scalable SQL database that can run anywhere. We deliver maximum performance for transactional and analytical workloads with familiar relational models. SingleStore is a scalable SQL database that ingests data continuously to perform operational analytics for the front lines of your business. Ingest millions of events per second with ACID transactions while simultaneously analyzing billions of rows of data in relational SQL, JSON, geospatial, and full-text search formats. SingleStore delivers ultimate data ingestion performance at scale and supports built in batch loading and real time data pipelines. SingleStore lets you achieve ultra fast query response across both live and historical data using familiar ANSI SQL. Perform ad hoc analysis with business intelligence tools, run machine learning algorithms for real-time scoring, perform geoanalytic queries in real time.
    Starting Price: $0.69 per hour
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    Actian Zen
    Actian Zen is an embedded, high-performance, and low-maintenance database management system designed for edge applications, mobile devices, and IoT environments. It offers a seamless integration of SQL and NoSQL data models, providing flexibility for developers working with structured and unstructured data. Actian Zen is known for its small footprint, scalability, and high reliability, making it ideal for resource-constrained environments where consistent performance and minimal administrative overhead are essential. With built-in security features and a self-tuning architecture, it supports real-time data processing and analytics without the need for constant monitoring or maintenance. Actian Zen is widely used in industries like healthcare, retail, and manufacturing, where edge computing and distributed data environments are critical for business operations.
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    Tarantool

    Tarantool

    Tarantool

    Corporations need a way to ensure uninterrupted operation of their systems, high speed of data processing, and reliability of storage. The in-memory technologies have proven themselves well in solving these problems. For more than 10 years, Tarantool has been helping companies all over the world build smart caches, data marts, and golden client profiles while saving server capacity. Reduce the cost of storing credentials compared to siloed solutions and improve the service and security of client applications. Reduce data management costs of maintaining a large number of disparate systems that store customer identities. Increase sales by improving the speed and quality of customer recommendations for goods or services through the analysis of user behavior and user data. Improve mobile and web channel service by accelerating frontends to reduce user outflow. IT systems of large organizations operate in a closed loop of a local network, where data circulates unprotected.
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    Turso

    Turso

    Turso

    Turso is a globally distributed, SQLite-compatible database service designed to provide low-latency data access across various platforms, including online, offline, and on-device environments. Built atop libSQL, an open-source fork of SQLite, Turso enables developers to deploy databases close to their users, enhancing application performance. It supports seamless integration with multiple frameworks, languages, and infrastructure providers, facilitating efficient data management for applications such as personalized large language models and AI agents. Turso offers features like unlimited databases, instant rollback with branching, and native vector search at scale, allowing for efficient parallel vector searches across users, instances, or contexts using SQL database integration. The platform emphasizes security with encryption at rest and in transit and provides an API-first approach for programmatic database management.
    Starting Price: $8.25 per month
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    SQL Server

    SQL Server

    Microsoft

    Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.
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    DBeaver Community

    DBeaver Community

    DBeaver Corp.

    DBeaver Community is a free, open-source database management tool recommended for personal projects. Manage and explore SQL databases like MySQL, MariaDB, PostgreSQL, SQLite, Apache Family, and more. Connect to popular SQL databases (PostgreSQL, MySQL, SQL Server, Oracle, SQLite, etc.) SQL editor to create queries with syntax highlighting and autocompletion AI assistant in SQL for building queries through natural language SSL/TLS support for encrypted connections SSH tunneling for secure remote access Proxy configuration to work with databases behind a corporate firewall Session Manager to terminate, disconnect, view and search for sessions Lock Manager to monitor and manage database locks Entity Relationship Diagrams to interactively explore and visualize database structure Query manager to view all executed queries, including execution time, duration, affected rows, and errors. Data editor to view, edit, and filter data
    Starting Price: $11/month
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    TablePlus

    TablePlus

    TablePlus InC

    Modern, native client with intuitive GUI tools to create, access, query & edit multiple databases: MySQL, PostgreSQL, SQLite, Microsoft SQL Server, Amazon Redshift, MariaDB, CockroachDB, Vertica, Cassandra, Snowflake, Oracle, Redis.
    Starting Price: $59.00
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    RxDB

    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
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    SQLAI

    SQLAI

    SQLAI

    SQL AI Generator is the ultimate solution for developers, database professionals, and analysts looking to simplify complex SQL query creation. With cutting-edge AI-powered technology, it converts natural language inputs into accurate, optimized SQL queries for popular database systems such as MySQL, PostgreSQL, SQL Server, Oracle, and SQLite.
    Starting Price: $2.49
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    HeidiSQL

    HeidiSQL

    HeidiSQL

    HeidiSQL is free software, and has the aim to be easy to learn. "Heidi" lets you see and edit data and structures from computers running one of the database systems MariaDB, MySQL, Microsoft SQL, PostgreSQL and SQLite. Invented in 2002 by Ansgar, HeidiSQL belongs to the most popular tools for MariaDB and MySQL worldwide. Free for everyone, OpenSource. Connect to multiple servers in one window. Supported database systems: MariaDB, MySQL, MS SQL, PostgreSQL and SQLite. Connect to servers via commandline. Connect via SSH tunnel, or pass SSL settings. Create and edit tables, views, stored routines, triggers and scheduled events. Generate nice SQL-exports, compress these afterwards, or put them on the clipboard. Export from one server/database directly to another server/database. Manage user-privileges, import text-files, export table rows as CSV, HTML, XML, SQL, LaTeX, Wiki Markup and PHP Array. Browse and edit table-data using a comfortable grid.
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    Luna Modeler

    Luna Modeler

    Ideamerit

    Luna Modeler is an easy-to-use data modeling tool for your favorite databases. Design and visualize database structures, generate SQL scripts, and create interactive documentation. Perfect for both pros and beginners, Luna Modeler makes data modeling simple! Supported platforms: - Oracle Database - SQL Server - PostgreSQL - MySQL - MariaDB - SQLite Key features: - Database modeling and design - Reverse engineering from Oracle, SQL Server, PostgreSQL, MySQL, MariaDB - Import from SQLite files - Support for SSH/SSL/TLS connections - Generation of interactive HTML reports - Generation of SQL scripts - Project update - Generation of alter scripts for selected database platforms - Various themes and styles for reports - Multiple display modes - Support for sub-diagrams
    Starting Price: $99
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    Couchbase

    Couchbase

    Couchbase

    Unlike other NoSQL databases, Couchbase provides an enterprise-class, multicloud to edge database that offers the robust capabilities required for business-critical applications on a highly scalable and available platform. As a distributed cloud-native database, Couchbase runs in modern dynamic environments and on any cloud, either customer-managed or fully managed as-a-service. Couchbase is built on open standards, combining the best of NoSQL with the power and familiarity of SQL, to simplify the transition from mainframe and relational databases. Couchbase Server is a multipurpose, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON’s versatility, with a foundation that is extremely fast and scalable. It’s used across industries for things like user profiles, dynamic product catalogs, GenAI apps, vector search, high-speed caching, and much more.
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    HyperSQL DataBase

    HyperSQL DataBase

    The hsql Development Group

    HSQLDB (HyperSQL DataBase) is the leading SQL relational database system written in Java. It offers a small, fast multithreaded and transactional database engine with in-memory and disk-based tables and supports embedded and server modes. It includes a powerful command line SQL tool and simple GUI query tools. HSQLDB supports the widest range of SQL Standard features seen in any open source database engine: SQL:2016 core language features and an extensive list of SQL:2016 optional features. It supports full Advanced ANSI-92 SQL with only two exceptions. Many extensions to the Standard, including syntax compatibility modes and features of other popular database engines, are also supported.
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    Oracle Database
    Oracle database products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. Oracle Autonomous Database, available on-premises via Oracle Cloud@Customer or in the Oracle Cloud Infrastructure, enables customers to simplify relational database environments and reduce management workloads. Oracle Autonomous Database eliminates the complexity of operating and securing Oracle Database while giving customers the highest levels of performance, scalability, and availability. Oracle Database can be deployed on-premises when customers have data residency and network latency concerns. Customers with applications that are dependent on specific Oracle database versions have complete control over the versions they run and when those versions change.
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    CUBRID

    CUBRID

    CUBRID

    CUBRID is a relational DBMS optimized for online transaction processing (OLTP) that complies with ANSI SQL standards and provides MVCC support, High-Availability (HA) capabilities, and GUI-based tools for DB management/migration. It also provides Oracle/MySQL compatibility and supports a variety of interfaces, including JDBC. CUBRID provides ease of installation and native GUI-based administration tools for developers' convenience. Multi-threaded, multi-server architecture, native broker middleware, cost-based optimizer, and intensive caching techniques for your OLTP services. Very accurate predictable automatic fail-over built-in technology, based on the CUBRID Heartbeat native engine core. Multi-volume support, automatic volume expansion, and unlimited number and size of databases/ tables/indexes.
    Starting Price: $0.01/one-time/user
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    ObjectBox

    ObjectBox

    ObjectBox

    The superfast nosql database for mobile and iot with integrated data synchronization. High-performance Objectbox is 10x faster than any alternative, improving response rates and enabling real-time applications. Check out our benchmarks. From sensor to server and everything in between. We support linux, windows, mac/ios, android, raspbian, etc. Embedded or containerized. Sync data seamlessly. Objectbox’ out-of-the-box synchronization makes data available when needed where needed, so you can take your app live faster. Offline first Develop applications that work on- and offline, independently from a constant internet connection, providing an “always-on”-feeling. Save time & dev. resources. Accelerate time-to-market, save development and lifecycle costs, save precious developer time for tasks that bring value, and let objectbox deal with the risk. Objectbox reduces cloud costs up to 60% by persisting data locally (on the edge), and syncing necessary data quicker and more efficiently.
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    Sequelize

    Sequelize

    Sequelize

    Sequelize is a modern TypeScript and Node.js ORM for Oracle, Postgres, MySQL, MariaDB, SQLite SQL Server, and more. Features solid transaction support, relations, eager and lazy loading, read replication, and more. Define your models with ease and make optional use of automatic database synchronization. Define associations between models and let Sequelize handle the heavy lifting. Mark data as deleted instead of removing it once and for all from the database. Transactions, migrations, strong typing, JSON querying, lifecycle events (hooks), and more. Sequelize is a promise-based Node.js ORM tool for Postgres, MySQL, MariaDB, SQLite, Microsoft SQL Server, Oracle Database, Amazon Redshift, and Snowflake’s Data Cloud. It features solid transaction support, relations, eager and lazy loading, read replication, and more. To connect to the database, you must create a Sequelize instance.
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    DbSchema

    DbSchema

    Wise Coders

    DbSchema is for visual designing the schema in a team, deploy and document the schema. Other integrated features like data explorer, visual query editor, data generator, etc., makes DbSchema an every-day tool for everybody who interacts with databases. DbSchema supports all relational and No-SQL databases, including MySQL, PostgreSQL, SQLite, Microsoft SQL Server, MongoDB, MariaDB, Redshift, Snowflake, Google and more. DbSchema is reverse-engineering the database schema from the database and visualize it as diagrams. You will interact with the database using diagrams and visual tools. DbSchema model is using its copy of schema structure, independent from the database. This allows the schema deployment on multiple databases, save the design model to file, store it in GIT and design the schema in a team, design the schema without database connectivity, compare different versions of the schema and generate SQL migration scripts.
    Starting Price: $63 one time payment