Showing 4 open source projects for "teams-for-linux"

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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

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  • 1
    SurrealDB

    SurrealDB

    A scalable, distributed, collaborative, document-graph database

    With an SQL-style query language, real-time queries with highly-efficient related data retrieval, advanced security permissions for multi-tenant access, and support for performant analytical workloads, SurrealDB is the next generation serverless database. SurrealDB is the ultimate cloud database for tomorrow's applications. SurrealDB is an innovative NewSQL cloud database, suitable for serverless applications, jamstack applications, single-page applications, and traditional applications. It...
    Downloads: 2 This Week
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  • 2
    pg_analytics

    pg_analytics

    DuckDB-powered analytics for Postgres

    pg_analytics (formerly named pg_lakehouse) puts DuckDB inside Postgres. With pg_analytics installed, Postgres can query foreign object stores like AWS S3 and table formats like Iceberg or Delta Lake. Queries are pushed down to DuckDB, a high-performance analytical query engine. By transforming Postgres into a performant search and analytics engine, ParadeDB frees your team from the pain of scaling and syncing Elasticsearch.
    Downloads: 0 This Week
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  • 3
    IndraDB

    IndraDB

    A graph database written in rust

    A graph database written in rust. IndraDB consists of a server and an underlying library. Most users would use the server, which is available via releases as pre-compiled binaries. But if you're a rust developer that wants to embed a graph database directly in your application, you can use the library. IndraDB's original design is heavily inspired by TAO, facebook's graph datastore. In particular, IndraDB emphasizes simplicity of implementation and query semantics, and is similarly designed...
    Downloads: 0 This Week
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  • 4
    falkordb

    falkordb

    A super fast Graph Database

    A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
    Downloads: 0 This Week
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