Open Source Database Software - Page 16
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Npgsql Entity Framework Core PostgreSQL
Entity Framework Core provider for PostgreSQL
Npgsql.EntityFrameworkCore.PostgreSQL is the open source EF Core provider for PostgreSQL. It allows you to interact with PostgreSQL via the most widely-used .NET O/RM from Microsoft, and use familiar LINQ syntax to express queries. It's built on top of Npgsql. The provider looks and feels just like any other Entity Framework Core provider. Aside from providing general EF Core support for PostgreSQL, the provider also exposes some PostgreSQL-specific capabilities, allowing you to query JSON, array or range columns, as well as many other advanced features. For more information, see the the Npgsql site. -
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OpenViking
Context database designed specifically for AI Agents
OpenViking is an open-source context database engineered for efficient indexing and retrieval of large amounts of unstructured or semi-structured context data used by AI applications. It’s primarily designed to serve as a high-performance, scalable backend for storing app context, embeddings, conversational histories, and other textual artifacts that need rapid lookup and semantic search, which makes it especially useful for systems like chatbots or memory-augmented agents. The project is implemented with performance in mind, often leveraging optimized data structures that balance fast reads and writes with minimal resource consumption. Developers can integrate OpenViking into modern AI stacks to unify context storage across services, enabling consistent session history, personalized responses, and richer search experiences. -
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PeerDB
Fast, Simple and a cost effective tool to replicate data from Postgres
PeerDB is an open-source platform for real-time replication and transformation of data from PostgreSQL to analytical warehouses like BigQuery and Snowflake. It supports Change Data Capture (CDC) and provides seamless syncing and transformation logic with low latency. PeerDB is ideal for teams building real-time data pipelines without relying on expensive proprietary solutions. -
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PgDog
PostgreSQL connection pooler, load balancer and database sharder
pgDog is a PostgreSQL proxy and connection management tool built to improve scalability, routing, and operational control for PostgreSQL deployments. It acts as an intelligent intermediary between applications and database servers, enabling load balancing, query routing, and connection pooling in distributed environments. The project is designed with performance and observability in mind, helping teams manage high-traffic database workloads more efficiently. Its architecture supports modern infrastructure patterns, making it suitable for cloud-native and microservices deployments. pgDog also emphasizes operational simplicity, providing configuration mechanisms that allow teams to adjust routing behavior without deep changes to application code. In practice, the tool helps organizations scale PostgreSQL clusters while maintaining reliability and predictable performance under load. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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PostgreSQL Book
Book about PostgreSQL (russian)
PostgreSQL Book is an open-source Russian-language guide that covers PostgreSQL best practices, performance tuning, configuration, and ecosystem tools. It offers in-depth documentation for developers and DBAs who want to deepen their understanding of PostgreSQL’s internals and practical usage. The project also includes curated links and community resources. -
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Redix
A very simple pure key => value storage system that speaks Redis
redix is a very simple key => value storage engine that speaks redis and even more simpler and flexible. redis is very simple, sometimes we abuse it, so I decided to build a pure key-value storage system that introduces the core utilities for building any data structure you want based on the key => value model that is because I think that everything could be modeled easily using that model, so I decided to not to follow redis and all of its commands, you won’t find lpush, hset, sadd, … etc you will find a new way to do the same job but more easier and flexable, i.e, the well-known hset key field value command could be replaced with set key/field value, but sometimes you need to return a specific hashmap as key => value, but you run hget key field to get the key’s value and also it could be replaced with get key/field, but how could we replace hgetall key? I will say “it is easy”, let’s make the hget command work as a prefix scanner that scan the whole database. -
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Reliable PostgreSQL Backup & Restore
Reliable PostgreSQL backup and restore
pgBackRest aims to be a reliable, easy-to-use backup and restore solution that can seamlessly scale up to the largest databases and workloads by utilizing algorithms that are optimized for database-specific requirements. Compression is usually the bottleneck during backup operations but, even with now-ubiquitous multi-core servers, most database backup solutions are still single-process. pgBackRest solves the compression bottleneck with parallel processing. Utilizing multiple cores for compression makes it possible to achieve 1TB/hr raw throughput even on a 1Gb/s link. More cores and a larger pipe lead to even higher throughput. A custom protocol allows pgBackRest to backup, restore, and archive locally or remotely via TLS/SSH with minimal configuration. An interface to query PostgreSQL is also provided via the protocol layer so that remote access to PostgreSQL is never required, which enhances security. -
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SQL Exporter
Database agnostic SQL exporter for Prometheus
SQL Exporter is a configuration-driven exporter that exposes metrics gathered from DBMSs, for use by the Prometheus monitoring system. Out of the box, it provides support for MySQL, PostgreSQL, Microsoft SQL Server, and Clickhouse, but any DBMS for which a Go driver is available may be monitored after rebuilding the binary with the DBMS driver included. The collected metrics and the queries that produce them are entirely configuration-defined. SQL queries are grouped into collectors -- logical groups of queries, e.g., query stats or I/O stats, mapped to the metrics they populate. Collectors may be DBMS-specific (e.g,. MySQL InnoDB stats) or custom, deployment-specific (e.g., pricing data freshness). This means you can quickly and easily set up custom collectors to measure data quality, whatever that might mean in your specific case. -
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SQLPad
Web-based SQL editor run in your own private cloud
A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure stability. See docker-examples directory for example docker-compose setup with SQL Server. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Skeema
Declarative pure-SQL schema management for MySQL and MariaDB
Skeema is a schema management and version control tool for MySQL and MariaDB databases. It helps developers manage database schemas in a Git-like workflow, supporting collaboration and versioning. -
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Skytable
Skytable is a fast, secure and reliable realtime NoSQL database
SkytableTM is an insanely fast, free, and open-source, real-time NoSQL database that aims to provide flexible data modeling without compromising on performance or query ability, at scale. Skytable has got exciting features which are ready to deploy and more amazing features on the way. Scale to millions of queries per second per node with no optimizations left on the table. Automated background saving, snapshots and remote snapshots are there when you need them. Natively multithreaded to exploit all CPU cores which helps lower your TCO. Written in Rust with expert analyzed unsafe code for memory safety and TLS for encrypted connections. Have 1MB memory? That's all Skytable needs. With no platform-specific dependencies, Skytable can virtually run on anything that has an OS. Features like keyspaces, tables, data types, authn+authz, snapshots and more are ready for you to use while we're working on several new data models and features. -
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Smooth Scrollbar
Customizable, Extendable, High-Performance JavaScript-Based Scrollbar
Smooth Scrollbar is a JavaScript Plugin that allows you to customize high performance scrollbars cross browsers. It is using translate3d to perform a momentum-based scrolling (aka inertial scrolling) on modern browsers. With the flexible plugin system, we can easily redesign the scrollbar as we want. This is the scrollbar plugin that you've ever dreamed of! Since this package has a pkg.module field, it's highly recommended to import it as an ES6 module with some bundlers like webpack or rollup. -
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TanStack DB
A reactive client store for building super fast apps
TanStack DB (beta) is a lightweight, embedded database-like library designed to manage structured data directly in client or server-side JavaScript environments, offering stateful data stores that work seamlessly with the TanStack ecosystem. Blazing‑fast query engine for sub‑millisecond live queries, joins & aggregates. Fine‑grained reactivity to minimize component re‑rendering. Robust transaction primitives for optimistic mutations with sync & lifecycle support. Normalized data model that keeps backends simple and consistent. -
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TypeDB
TypeDB: a strongly-typed database
TypeDB is a strongly-typed database with a rich and logical type system. TypeDB empowers you to tackle complex problems, and TypeQL is its query language.TypeDB is a database with a rich and logical type system. TypeDB empowers you to solve complex problems, using TypeQL as its query language. TypeDB provides a strong type system for developers to break down complex problems into meaningful and logical systems. Through TypeQL, TypeDB provides powerful abstractions over low-level and complex data patterns. TypeDB allows you to model your domain based on logical and object-oriented principles. Composed of entity, relationship, and attribute types, as well as type hierarchies, roles, and rules, TypeDB allows you to think higher-level, as opposed to join-tables, columns, documents, vertices, edges, and properties.Types provide a way to describe the logical structures of your data, allowing TypeDB to validate that your code inserts and queries data correctly. -
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TypeORM
ORM for TypeScript and JavaScript (ES7, ES6, ES5)
TypeORM is an ORM that can run in NodeJS, Browser, Cordova, PhoneGap, Ionic, React Native, NativeScript, Expo, and Electron platforms and can be used with TypeScript and JavaScript (ES5, ES6, ES7, ES8). Its goal is to always support the latest JavaScript features and provide additional features that help you to develop any kind of application that uses databases - from small applications with a few tables to large scale enterprise applications with multiple databases. TypeORM supports both Active Record and Data Mapper patterns, unlike all other JavaScript ORMs currently in existence, which means you can write high-quality, loosely coupled, scalable, maintainable applications the most productive way. TypeORM is highly influenced by other ORMs, such as Hibernate, Doctrine and Entity Framework. Supports both DataMapper and ActiveRecord (your choice). Uni-directional, bi-directional and self-referenced relations. -
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Vercel Storage
Vercel Postgres, KV, Blob, and Edge Config
Vercel Storage is a unified SDK and platform integration layer for accessing various storage backends like Redis, Postgres, and KV stores. It simplifies reading, writing, and managing data in serverless applications hosted on Vercel. The SDK provides a consistent developer experience with optimized performance for edge functions. -
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Vitess
Vitess is a database clustering system for horizontal scaling of MySQL
Vitess is a database clustering system for horizontal scaling of MySQL through generalized sharding. By encapsulating shard-routing logic, Vitess allows application code and database queries to remain agnostic to the distribution of data onto multiple shards. With Vitess, you can even split and merge shards as your needs grow, with an atomic cutover step that takes only a few seconds. Vitess has been a core component of YouTube's database infrastructure since 2011, and has grown to encompass tens of thousands of MySQL nodes. -
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Xodus
Transactional schema-less embedded database used by JetBrains
JetBrains Xodus is a transactional schema-less embedded database that is written in Java and Kotlin. It was initially developed for JetBrains YouTrack, an issue tracking and project management tool. Xodus is also used in JetBrains Hub, the user management platform for JetBrains' team tools, and in some internal JetBrains projects. Xodus is highly concurrent. Reads are completely non-blocking due to MVCC and true snapshot isolation. Xodus is schema-less and agile. It does not require schema migrations or refactorings. Xodus is embedded. It does not require installation or administration. There are three different ways to deal with data, which results in three different API layers: Environments, Entity Stores and Virtual File Systems. Gradle is used to build, test, and publish. JDK 1.8 or higher is required. -
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ZhParser
PostgreSQL extension for full-text search of Chinese language
zhparser is a PostgreSQL extension for full-text search of Chinese text. It integrates with PostgreSQL's text search engine to tokenize Chinese characters using a dictionary-based segmentation algorithm. zhparser is a valuable tool for improving search accuracy and performance in Chinese-language applications. -
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Zvec
A lightweight, lightning-fast, in-process vector database
Zvec is an open-source, lightweight, in-process vector database designed to embed directly into applications and serve fast similarity search workloads without the overhead of a separate server process. Developed by Alibaba’s Tongyi Lab, it positions itself as the “SQLite of vector databases” by being easy to integrate, minimal in dependencies, and capable of handling high throughput with low latency on edge devices or small systems. Zvec excels at approximate nearest neighbor search and retrieval tasks that power features like semantic search, recommendation systems, and retrieval-augmented generation (RAG) setups. Its performance benchmarks show it achieving high queries-per-second and fast index build times compared to similar tools. Because it runs in-process, developers can embed it in native apps, microservices, or edge computing scenarios where traditional server-based vector databases might be overkill. -
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data-diff
Efficiently diff rows across two different databases
We're excited to announce the launch of a new open-source product, data-diff that makes comparing datasets across databases fast at any scale. data-diff automates data quality checks for data replication and migration. In modern data platforms, data is constantly moving between systems, and at the modern data volume and complexity, systems go out of sync all the time. Until now, there has not been any tooling to ensure that when the data is correctly copied. Replicating data at scale, across hundreds of tables, with low latency and at a reasonable infrastructure cost is a hard problem, and most data teams we’ve talked to, have faced data quality issues in their replication processes. The hard truth is that the quality of the replication is the quality of the data. Since copying entire datasets in batch is often infeasible at the modern data scale, businesses rely on the Change Data Capture (CDC) approach of replicating data using a continuous stream of updates. -
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eXist-db
eXist Native XML Database and Application Platform
eXist-db is an open-source, native XML database and application platform that provides a powerful environment for storing, querying, and managing XML documents. It is designed for complex data management needs, offering XQuery, XSLT, and RESTful web services for interacting with structured data. -
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goose
A database migration tool. Supports SQL migrations and Go functions
goose is a database migration tool. Manage your database schema by creating incremental SQL changes or Go functions. Starting with v3.0.0 this project adds Go module support, but maintains backwards compatibility with older v2.x.y tags. Goose supports embedding SQL migrations, which means you'll need go1.16 and up. If using go1.15 or lower, then pin v3.0.1. We use timestamped migrations by default but recommend a hybrid approach of using timestamps in the development process and sequential versions in production. Supports missing (out-of-order) migrations with the -allow-missing flag, or if using as a library supply the functional option goose.WithAllowMissing() to Up, UpTo or UpByOne. Supports applying ad-hoc migrations without tracking them in the schema table. Useful for seeding a database after migrations have been applied. Use -no-versioning flag or the functional option goose.WithNoVersioning(). -
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level
Universal abstract-level database for Node.js and browsers
Universal abstract-level database for Node.js and browsers. Universal abstract-level database for Node.js and browsers. This is a convenience package that exports classic-level in Node.js and browser-level in browsers, making it an ideal entry point to start creating lexicographically sorted key-value databases. All asynchronous methods also support callbacks. TypeScript type declarations are included and cover the methods that are common between classic-level and browser-level. Usage from TypeScript requires generic type parameters. At the time of writing, level works in Node.js 12+ and Electron 5+ on Linux, Mac OS, Windows and FreeBSD, including any future Node.js and Electron release thanks to Node-API, including ARM platforms like Raspberry Pi and Android, as well as in Chrome, Firefox, Edge, Safari, iOS Safari and Chrome for Android. -
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migrate
Database migrations, CLI and Golang library
Database migrations are written in Go. Use as CLI or import as a library. Migrate reads migrations from sources and applies them in correct order to a database. Drivers are "dumb", migrate glues everything together and makes sure the logic is bulletproof. (Keeps the drivers lightweight, too.) Database drivers don't assume things or try to correct user input. When in doubt, fail. Package migrate reads migrations from sources and runs them against databases. Sources are defined by the `source.Driver` and databases by the `database.Driver` interface. The driver interfaces are kept "dump", all migration logic is kept in this package.
