Showing 4 open source projects for "sql query builder"

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    Beam

    Beam

    A type-safe, non-TH Haskell SQL library and ORM

    Beam is a Haskell interface to relational databases. Beam uses the Haskell type system to verify that queries are type-safe before sending them to the database server. Queries are written in a straightforward, natural monadic syntax. Combinators are provided for all standard SQL92 features, and a significant subset of SQL99, SQL2003, and SQL2008 features. Beam is standards-compliant but not naive. We recognize that different database backends provide different guarantees, syntaxes, and...
    Downloads: 4 This Week
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  • 2
    PostgREST

    PostgREST

    REST API for any Postgres database

    PostgREST is a standalone web server that turns your PostgreSQL database directly into a RESTful API. The structural constraints and permissions in the database determine the API endpoints and operations. Using PostgREST is an alternative to manual CRUD programming. Custom API servers suffer problems. Writing business logic often duplicates, ignores or hobbles database structure. Object-relational mapping is a leaky abstraction leading to slow imperative code. The PostgREST philosophy...
    Downloads: 9 This Week
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  • 3
    HStreamDB

    HStreamDB

    HStreamDB is an open-source, cloud-native streaming database

    HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications. By subscribing to streams in HStreamDB, any update of the data stream will be pushed to your apps in real-time, and this promotes your apps to be more responsive. You can also replace message brokers with HStreamDB and everything you do with message brokers can be done better with HStreamDB. HStreamDB provides built-in support for event time-based stream...
    Downloads: 0 This Week
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  • 4
    Queryparser

    Queryparser

    Parsing and analysis of Vertica, Hive, and Presto SQL

    Queryparser is Uber’s open source Haskell library for parsing and analyzing SQL queries written in different dialects (Vertica, Hive, Presto). It creates a unified AST and supports name resolution using catalog metadata, enabling large-scale query analysis for lineage detection, analytics, and tooling. The parsing logic produces an AST with table and column identifiers that are "raw" or optionally qualified.
    Downloads: 0 This Week
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