nathanmarz/cascalog
Data processing on Hadoop without the hassle. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
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: 6000
- days_rel: n/a
- days_push: 1203
- n_releases_24m: 0
Adoption not part of the score
1373 stars · 173 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Cascalog is a Clojure/Java data processing and querying library built on Hadoop, offering a high-level Datalog-like abstraction as a replacement for Pig, Hive, and Cascading. It also supports local in-memory analysis from the REPL.
Use cases
- run big data queries on hadoop without writing mapreduce
- replace pig or hive with a clojure dsl
- analyze datasets locally from the repl
- process large log data with clojure
- write declarative data pipelines in java
When to choose
- you're on the JVM and want a high-level query language over Hadoop
- you prefer Clojure REPL-driven data analysis
When to avoid
- starting a new project — modern alternatives like Spark or trino are actively maintained
- you need non-Hadoop distributed execution
Facets
library · maturity maintenance
etl data-science big-data jvm jvm-scripting hadoop datalog clojure big-data mapreduce query data-engineering
1 source
- readme: https://github.com/nathanmarz/cascalog · fetched 2026-08-28 · 8f7d197e0746
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| nathanmarz/cascalog | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="nathanmarz/cascalog")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem