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Instant low-code DATA API platform for 30x faster application development. Connect any database, run anywhere. Power your GENAI application function calls

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9tigerio/db2rest

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DB2Rest is a modern low code REST DATA API platform that makes it easy to build intelligent applications 30x faster. It combines existing/new databases and data-sources with language models (LM/LLMs) and vector stores to rapidly deliver context-aware, reasoning applications without any vendor lock-in. 💡

⭐ If you find DB2Rest useful, please consider adding a star on GitHub! Your support motivates us to add new exciting features.

Number of GitHub contributors Number of GitHub issues that are open Number of GitHub stars Number of GitHub closed issues Number of GitHub pull requests that are open GitHub release; latest by date GitHub commit activity GitHub license GitHub top language Docker Pulls Follow us on X, formerly Twitter

Website

https://db2rest.com

Stable Releases

Release Download/Docker Pull
1.4.2 DB2Rest-1.4.2
1.4.2 (Docker Image) docker pull kdhrubo/db2rest:v1.4.2 or docker pull kdhrubo/db2rest:latest
Oracle9i - 1.2.3 Final DB2Rest-Oracle9i-1.2.3

Quick start guides

On premise / On Virtual Machines installation guide.

Docker based installation guide.

Use Cases

Accelerate Application Delivery with Instant REST DATA API

DB2Rest provides instant REST API(no code generation) to boost development by 30x. Low code and best practices are built-in saving engineering teams months of effort and cost.

Faster innovation with Gen AI

DB2Rest works hand in glove with modern vector databases and LLM implementations to provide consistent Web APIs to deliver smart applications.

Secure Database Gateway

DB2Rest works as a secure database gateway. This helps enterprises to open up data to internal developers and partners in a safe and agile way which was not possible earlier.

Simplify Integration

Complex, error-prone maintenance-heavy file-based data exchange can be replaced with DB2Rest. Integrations can be loosely coupled by reducing direct database based integration.

Supported Databases

  • PostgreSQL
  • MySQL
  • MS SQL Server
  • Tembo PostgreSQL
  • Oracle (Including 9i, 10g)
  • DigitalOcean PostgreSQL
  • DigitalOcean MySQL
  • AWS RDS Postgres
  • AWS RDS MySQL
  • MongoDB
  • MariaDB
  • CockroachDB
  • Neon

Planned Database Support

  • PostgresML
  • TursoDB
  • Yugabyte
  • PlanetScale
  • CrunchyData
  • Singlestore
  • Nile (Planned)
  • MindsDB
  • KDB
  • Zilliz
  • AstraDB
  • Vespa
  • Amazon Lightsail PostgreSQL
  • Amazon Lightsail MySQL

Contributing

Feel like contributing? That's awesome! We have a contributing guide to help guide you.

Our docsite lives in a separate repo. If you're interested in contributing to the documentation, check out the docsite contribution guide.

Building

Use mvn verify or mvn clean package , etc. from repo root folder, and pass in a value for revision to override the current default version in POMs: mvn -Drevision="1.5.4-SNAPSHOT" clean package -DskipTests

Testing

Running tests simply requires a Docker daemon running, where the build will automatically pull and run testcontainers for the database tests.

Support

Connect on Discord

Contact

[email protected]

Roadmap

Refer to open roadmap items.

IDE Sponsor

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