# apache/impala

Apache Impala

Repository: https://github.com/apache/impala
Canonical: https://ross.abutalabs.com/products/apache-impala
Homepage: https://impala.apache.org
Language: C++
License: Apache-2.0
License Family: permissive
Topics: impala
Last push: 2026-08-25T23:05:11+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 3794, "days_push": 8, "days_rel": 544, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1285, forks 558 (observed 2026-08-28T04:04:14.668412+00:00)

## What it is
Apache Impala is a massively parallel, distributed SQL query engine written in C++ for analyzing petabyte-scale data stored in open data and table formats like Iceberg, Parquet, ORC, Kudu, HDFS, and cloud object stores. It provides low-latency, high-concurrency analytic (BI-style) SQL queries with LLVM-based per-query code generation and enterprise security via Kerberos, LDAP, TLS, and Ranger.

## Use cases
- run low-latency SQL analytics on petabyte-scale data lakes
- query Apache Iceberg and Parquet tables with BI tools
- unify Hadoop and cloud storage analytics under one SQL engine
- serve high-concurrency dashboards over a data lakehouse
- migrate Hive workloads to a faster SQL engine
- analyze data in S3 or Azure Data Lake with standard SQL

## When to choose
- you need fast, concurrent BI-style SQL over open table formats like Iceberg or Parquet
- you want to reuse existing Hive metadata, ODBC drivers, and Hadoop security frameworks
- you need linear scalability in multitenant environments on Linux clusters

## When to avoid
- you need a lightweight single-node embedded database
- your workloads run on Windows or macOS
- you need transactional OLTP workloads rather than analytics
- you want a fully managed cloud warehouse without cluster operations

## Facets
- artifact type: application
- maturity: stable
- function: database, search-engine, security, cryptography
- domain: databases, big-data, analytics, microservices
- platform: cloud, self-hosted
- tags: sql-query-engine, mpp, olap, apache-iceberg, parquet, orc, kudu, hadoop, data-lake, llvm-codegen, bi-analytics, data-engineering, linux, docker

## Member repositories
- apache/impala (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:14.668412+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 2026-08-30T04:56:38.501451+00:00, confidence not recorded.
  - readme: https://github.com/apache/impala (fetched 2026-08-28T04:04:14.668412+00:00, sha 36d565cd20fa)
  - homepage: https://impala.apache.org (fetched 2026-08-29T12:12:17.067350+00:00, sha f476da83f2fc)
  - site_page: https://impala.apache.org/impala-docs.html (fetched 2026-08-29T12:12:17.076556+00:00, sha 6b0297f35af4)
- Data as of 2026-08-30T08:39:29.467469+00:00.