# eventql/eventql

Distributed "massively parallel" SQL query engine

Repository: https://github.com/eventql/eventql
Canonical: https://ross.abutalabs.com/products/eventql
Homepage: http://eventql.io/
Language: C++
License: NOASSERTION
License Family: other
Topics: database, sql, timeseries, mpp, cpp, cpp11, analytics, columnar-storage, streaming, eventql, distributed, distributed-database, distributed-storage, distributed-sql
Last push: 2017-05-06T20:08:51+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": 3754, "days_push": 3406, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1176, forks 104 (observed 2026-08-28T04:03:52.653959+00:00)

## What it is
EventQL is a distributed, columnar SQL database written in C++ for large-scale data collection and analytics, supporting streaming writes, automatic partitioning, and massively parallel SQL and MapReduce queries. It exposes an HTTP API and native TCP protocol and scales across shared-nothing clusters to petabyte-scale tables.

## Use cases
- run fast analytical SQL queries over petabytes of data
- ingest high-volume streaming event data with exactly-once upserts
- store and query timeseries data across a cluster
- query distributed tables with automatic partitioning and parallel execution
- perform fast range scans over ordered key ranges
- insert arbitrary JSON objects into rows via a HTTP API

## When to choose
- you need a self-hosted, horizontally scalable columnar analytics database with streaming writes
- you want MPP-style parallel SQL queries on commodity hardware
- your workload mixes timeseries, relational, and JSON data with a good primary key

## When to avoid
- you need actively maintained software with recent releases and security patches
- you need full SQL feature coverage or rich ecosystem/tooling support
- you prefer managed cloud databases or row-oriented OLTP workloads

## Facets
- artifact type: service
- maturity: abandoned
- function: database, search-engine, streaming, http-server, cli
- domain: databases, analytics, big-data, time-series
- platform: cpp, self-hosted
- tags: distributed-database, columnar-storage, mpp, sql-query-engine, timeseries, mapreduce, shared-nothing, data-engineering, linux, macos, web-server

## Member repositories
- eventql/eventql (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:52.653959+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 2026-08-30T06:26:35.025119+00:00, confidence not recorded.
  - readme: https://github.com/eventql/eventql (fetched 2026-08-28T04:03:52.653959+00:00, sha be62acf96860)
  - homepage: http://eventql.io/ (fetched 2026-08-29T12:32:59.730539+00:00, sha 1df81102c3fd)
- Data as of 2026-08-30T08:39:29.467469+00:00.