rajasekarv/vega
A new arguably faster implementation of Apache Spark from scratch in Rust observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- 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 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2507
- days_rel: n/a
- days_push: 1598
- n_releases_24m: 0
Adoption not part of the score
2229 stars · 201 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Vega (formerly native_spark) is a from-scratch reimplementation of Apache Spark's distributed data processing engine written in Rust. It aims to be faster than the JVM-based original, though it is a work-in-progress tested only on Linux with nightly Rust.
Use cases
- run spark-like distributed data processing in rust
- faster alternative to apache spark
- process large datasets across a cluster without jvm overhead
- etl pipelines in rust
- distributed map-reduce workloads
When to choose
- you want spark-style APIs with Rust performance and no JVM
- your workloads run on Linux and you can tolerate nightly Rust and WIP rough edges
When to avoid
- you need Spark's full ecosystem, SQL, and library compatibility
- you need production stability, Windows/macOS support, or long-term maintenance - the project has seen little activity since 2022
Facets
framework · maturity experimental
etl streaming data-science concurrency big-data microservices developer-tools rust cli spark distributed-computing big-data-processing nightly-rust work-in-progress data-engineering linux
1 source
- readme: https://github.com/rajasekarv/vega · fetched 2026-08-28 · aa15f82576b6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| rajasekarv/vega | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem