Showing 2 open source projects for "sql query"

View related business solutions
  • Earn up to 16% annual interest with Nexo. Icon
    Earn up to 16% annual interest with Nexo.

    Let your crypto work for you

    Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
    Get started with Nexo.
  • AI-generated apps that pass security review Icon
    AI-generated apps that pass security review

    Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.

    Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
    Try Retool free
  • 1
    ANTLR

    ANTLR

    Parser generator to read, process, or translate structured text

    ...From a grammar, ANTLR generates a parser that can build and walk parse trees. It’s widely used in academia and industry to build all sorts of languages, tools, and frameworks. Twitter search uses ANTLR for query parsing, with over 2 billion queries a day. The languages for Hive and Pig, the data warehouse and analysis systems for Hadoop, both use ANTLR. Lex Machina uses ANTLR for information extraction from legal texts. Oracle uses ANTLR within SQL Developer IDE and their migration tools. NetBeans IDE parses C++ with ANTLR. The HQL language in the Hibernate object-relational mapping framework is built with ANTLR.
    Downloads: 6 This Week
    Last Update:
    See Project
  • 2
    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
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB