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Apache Spark

Apache Spark - A unified analytics engine for large-scale data processing observed · 2026-10-11

github.com/apache/spark · homepage · Scala · Apache-2.0 (permissive) observed · 2026-10-11

Health v2 · maintenance only

77/100

  • Activity 99
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4620
  • days_rel: n/a
  • days_push: 10
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

44159 stars · 29425 forks observed · 2026-10-11

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-28, confidence 0.98

Apache Spark is a unified analytics engine for large-scale data processing that provides high‑level APIs in Scala, Java, Python, and R. It includes libraries for SQL, streaming, machine learning, and graph processing.

Use cases

  • run batch ETL pipelines on petabyte‑scale datasets
  • perform interactive SQL queries on large data lakes
  • process real‑time event streams with low latency
  • train machine‑learning models on distributed clusters
  • execute graph analytics on massive networks

When to choose

  • you need a single engine that can handle batch, streaming, and interactive analytics
  • your workloads require scaling to thousands of nodes or petabyte‑scale data
  • you want to write jobs in multiple languages (Python, Scala, Java, R)
  • you need built‑in libraries for SQL, ML, and graph processing

When to avoid

  • your data fits comfortably in memory on a single machine and you prefer a lightweight library
  • you require ultra‑low‑latency processing below millisecond response times
  • you need a pure in‑process solution without a separate cluster manager

Facets

framework · maturity active

etl streaming big-data data-science machine-learning analytics windows jvm python cloud distributed-computing cluster-management spark-sql mlib structured-streaming sql linux macos docker kubernetes

9 sources

Member repositories

RepositoryRoleHealth v2
apache/sparkmain77
apache/spark-websitedocs74

For agents

markdown · JSON · MCP: product_card(name="apache/spark")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem