mongodb/mongo-hadoop
MongoDB Connector for Hadoop observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: archived 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: 5854
- days_rel: n/a
- days_push: 1678
- n_releases_24m: 0
Adoption not part of the score
1552 stars · 588 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Java library that lets MongoDB (or BSON backup files) serve as an input source or output destination for Hadoop MapReduce jobs, with integrations for Pig, Hive, Spark, Flume, and Hadoop Streaming. It is officially end-of-life with no further development or maintenance.
Use cases
- read data from mongodb into hadoop mapreduce jobs
- write mapreduce output to mongodb
- process bson backup files from s3 or hdfs with spark
- query mongodb collections with hadoop streaming in python
- use mongodb documents in hive or pig
- export hadoop results as bson for mongorestore
When to choose
- you maintain a legacy hadoop 1.x/2.x stack already using this connector
- you need to bridge old mapreduce, pig, or hive jobs with mongodb or bson files
When to avoid
- starting any new project, since the connector is end-of-life
- you need support, bugfixes, or compatibility with modern hadoop, spark, or mongodb versions
- you want an actively maintained mongodb-to-big-data integration
Facets
library · maturity abandoned
etl database-driver serialization databases big-data jvm self-hosted mongodb hadoop mapreduce bson spark hive pig end-of-life data-engineering
1 source
- readme: https://github.com/mongodb/mongo-hadoop · fetched 2026-08-28 · 225e57adc111
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mongodb/mongo-hadoop | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="mongodb/mongo-hadoop")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem