# oxnr/awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

Repository: https://github.com/oxnr/awesome-bigdata
Canonical: https://ross.abutalabs.com/products/awesome-bigdata
Homepage: https://github.com/onurakpolat/awesome-bigdata
License: MIT
License Family: permissive
Topics: awesome, bigdata, data-warehouse, data-analytics, data-visualization, data-stream, database, data-science, data, awesome-list, distributed-database, series-database, stream-processing, streaming-data, visualize-data
Last push: 2026-07-31T12:51:12+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 35, longevity 100
- inputs: {"age_days": 4443, "days_push": 33, "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 14588, forks 2590 (observed 2026-08-28T04:11:07.277983+00:00)

## What it is
A curated awesome-list of big data frameworks, databases, tools, papers, books, and resources. It serves as a reference catalog covering RDBMS, distributed systems, streaming, data ingestion, machine learning, and visualization ecosystems.

## Use cases
- find big data frameworks and tools
- discover open source databases for large-scale data
- learn about stream processing and data ingestion options
- find papers and books on distributed systems
- compare time-series and columnar databases
- explore the big data ecosystem before choosing a stack

## When to choose
- you want a broad, community-curated overview of the big data ecosystem
- you are researching which database or processing framework fits your use case
- you need reading material like papers, books, and videos on big data topics

## When to avoid
- you need working software rather than a list of links
- you need up-to-date, opinionated recommendations instead of a catalog
- you want tutorials or hands-on training rather than a resource index

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, documentation, data-science, etl, streaming, data-visualization, database, search-engine
- domain: big-data, databases, data-science, analytics, awesome-lists, microservices
- platform: cross-platform
- tags: awesome-list, curated-resources, big-data, data-warehouse, stream-processing, reference-guide, data-engineering

## Member repositories
- oxnr/awesome-bigdata (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:07.277983+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 2026-08-29T17:12:28.168339+00:00, confidence not recorded.
  - readme: https://github.com/oxnr/awesome-bigdata (fetched 2026-08-28T04:11:07.277983+00:00, sha 8b9ed8d08129)
  - homepage: https://github.com/onurakpolat/awesome-bigdata (fetched 2026-08-29T08:05:57.131853+00:00, sha 5dfe61cca651)
- Data as of 2026-08-30T08:39:29.467469+00:00.