# Qihoo360/Quicksql

A Flexible, Fast, Federated(3F) SQL Analysis Middleware for Multiple Data Sources

Repository: https://github.com/Qihoo360/Quicksql
Canonical: https://ross.abutalabs.com/products/quicksql
Homepage: https://quicksql.readthedocs.io
Language: Java
License: MIT
License Family: permissive
Topics: hive, spark, sql, flink
Last push: 2022-10-25T23:52:06+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2798, "days_push": 1408, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2040, forks 566 (observed 2026-08-28T04:06:08.453665+00:00)

## What it is
Quicksql is a SQL analysis middleware that provides unified SQL querying across relational databases, non-relational databases, and SQL-less datastores like Elasticsearch and Druid. It can join or union data from multiple datastores in a single query without depending on any intermediate compute engine.

## Use cases
- query elasticsearch with standard sql instead of  dsl
- join data stored in hive with data in elasticsearch in one query
- eliminate sql dialect differences across mysql and oracle
- run federated analytics across multiple heterogeneous datastores
- unify structured data queries into a single sql grammar
- analyze data spread across relational and non-relational databases

## When to choose
- you need cross-datasource sql joins or unions in one statement
- your team wants one sql dialect across heterogeneous engines
- you query sql-less stores like elasticsearch or druid with sql

## When to avoid
- you only query a single datastore with its native tooling
- you need a project with frequent updates and active community
- you require deep integration with a specific modern compute engine

## Facets
- artifact type: library
- maturity: maintenance
- function: database, search-engine, etl, parser
- domain: databases, big-data, analytics
- platform: jvm, cross-platform
- tags: sql-middleware, federated-query, multi-datasource, hive, spark, flink, elasticsearch, data-engineering, search

## Member repositories
- Qihoo360/Quicksql (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:08.453665+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:58:21.259622+00:00, confidence not recorded.
  - readme: https://github.com/Qihoo360/Quicksql (fetched 2026-08-28T04:06:08.453665+00:00, sha 73fbac32007d)
- Data as of 2026-08-30T08:39:29.467469+00:00.