SkardiLabs/skardi

Run SQL across Relational DBs, Data Lakes, S3, MongoDB, Redis, and vector stores. Turn any query into a REST API. Built on Rust + Apache DataFusion.

43
/ 100
Emerging

This tool helps data professionals and developers query diverse data sources using standard SQL, even if the data is spread across databases, S3, local files, or vector stores. It takes your SQL queries and data sources as input, allowing you to combine and analyze information from various systems seamlessly. The output can be direct query results or a ready-to-use REST API endpoint for your applications.

Use this if you need to combine data from different systems like relational databases, data lakes, and vector stores using SQL, or if you want to expose complex SQL queries as simple, parameterized REST APIs without writing any application code.

Not ideal if you primarily work with a single, highly structured relational database and do not need to integrate with other data types or expose queries via APIs.

data-integration business-intelligence api-development data-analysis vector-search
No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 11 / 25
Community 9 / 25

How are scores calculated?

Stars

32

Forks

3

Language

Rust

License

Apache-2.0

Category

retrieval

Last pushed

Apr 03, 2026

Monthly downloads

14

Commits (30d)

0

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