# apache/carbondata

High performance data store solution

Repository: https://github.com/apache/carbondata
Canonical: https://ross.abutalabs.com/products/carbondata
Language: Scala
License: Apache-2.0
License Family: permissive
Topics: scala, java, big-data, carbondata, data-format, apache, spark, hadoop
Last push: 2026-08-07T07:07:01+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 35, longevity 100
- inputs: {"age_days": 3718, "days_push": 26, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1452, forks 695 (observed 2026-08-28T04:04:46.443508+00:00)

## What it is
Apache CarbonData is an indexed columnar data file format and store for fast analytics on big data platforms like Apache Hadoop and Apache Spark. It stores data together with multi-level indexes to accelerate filtered queries, and is also expanding into agent metadata storage for multi-agent systems.

## Use cases
- run fast OLAP queries on Spark over HDFS data
- store big data in a compressed indexed columnar format
- accelerate filtered scans to reduce I/O and CPU
- query compressed and encoded data directly
- store metadata for multi-agent AI systems

## When to choose
- you use Spark or Hadoop and need faster analytics than plain Parquet with filter-heavy workloads
- you want a columnar format with built-in indexing and blocklet-level skip scan

## When to avoid
- you need a widely adopted format with broad ecosystem support like Parquet or ORC
- your stack is not JVM/Spark-based
- you need a general-purpose database rather than a file format

## Facets
- artifact type: library
- maturity: maintenance
- function: database, search-engine, serialization, etl
- domain: big-data, analytics, databases
- platform: jvm, python, cloud
- tags: columnar-format, apache-spark, hadoop, indexed-columnar-store, data-lake, agent-metadata, data-engineering, docker

## Member repositories
- apache/carbondata (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:46.443508+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 2026-08-30T04:35:47.398778+00:00, confidence not recorded.
  - readme: https://github.com/apache/carbondata (fetched 2026-08-28T04:04:46.443508+00:00, sha 3aeff49727a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.