Delta Lake
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs observed · 2026-08-28
Health v2 · maintenance only
95/100
- Activity 99
- Release rhythm 86
- Longevity 100
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: 41
- age_days: 2690
- days_rel: 13
- days_push: 7
- n_releases_24m: 12
Adoption not part of the score
8960 stars · 2163 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Delta Lake is an open-source storage framework and table format that brings ACID transactions, scalable metadata handling, schema enforcement, time travel, and unified batch/streaming processing to data lakes. It enables building a Lakehouse architecture with compute engines such as Apache Spark, Flink, PrestoDB, Trino, Hive, and ClickHouse, plus APIs for Scala, Java, Rust, Python, and Ruby.
Use cases
- add acid transactions to a data lake on s3
- build a lakehouse architecture with spark
- run time travel queries and rollbacks on tables
- unify streaming and batch ingestion into one table format
- perform merge upsert and delete operations on big data tables
- query delta tables from trino or prestodb
- handle petabyte-scale tables with billions of files
When to choose
- you need reliable, transactional storage on top of a data lake
- you use spark, flink, trino, or other engines and want one shared table format
- you need data versioning, audit history, and schema enforcement
- you want an open, vendor-neutral lakehouse format with a broad connector ecosystem
When to avoid
- you only need a simple file format without transactions or versioning
- your workload is a small single-node dataset where a regular database suffices
- you are locked into a different table format like iceberg or hudi without uniform compatibility needs
Facets
library · maturity stable
database etl streaming data-science analytics big-data databases analytics data-science jvm python rust cross-platform cloud delta-lake lakehouse acid-transactions apache-spark time-travel table-format data-lake schema-evolution data-engineering
6 sources
- readme: https://github.com/delta-io/delta · fetched 2026-08-28 · 398b0f29c69a
- homepage: https://delta.io · fetched 2026-08-29 · be461f9cc2a5
- site_page: https://delta.io/learn/getting-started · fetched 2026-08-29 · 9aee44519e5f
- site_page: https://docs.delta.io/ · fetched 2026-08-29 · 67886bbbb6d8
- site_page: https://delta.io/integrations · fetched 2026-08-29 · dfe49d285de0
- site_page: http://go.delta.io/releases · fetched 2026-08-29 · d77b947fe62b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| delta-io/delta | main | 95 |
| delta-io/delta-rs | sdk | 99 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem