richardwilly98/elasticsearch-river-mongodb
MongoDB River Plugin for ElasticSearch 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 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 5329
- days_rel: n/a
- days_push: 3541
- n_releases_24m: 0
Adoption not part of the score
1121 stars · 210 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An Elasticsearch plugin (river) that indexes MongoDB collections into Elasticsearch by tailing the MongoDB oplog of a replica set. It supports filtering and transformation of documents during indexing.
Use cases
- sync mongodb data into elasticsearch for full-text search
- index mongodb collections in elasticsearch
- tail mongodb oplog to keep search index up to date
- search mongodb documents with elasticsearch
- replicate mongodb data to a search engine
When to choose
- you run legacy Elasticsearch 0.90–1.7 with MongoDB replica sets and need near-real-time indexing
When to avoid
- you use a modern Elasticsearch version (rivers were removed in 2.x)
- your MongoDB deployment is not a replica set
- you need actively maintained software
Facets
plugin · maturity abandoned
search-engine database etl streaming databases jvm self-hosted elasticsearch-plugin mongodb oplog-tailing river data-sync replica-set search data-engineering
1 source
- readme: https://github.com/richardwilly98/elasticsearch-river-mongodb · fetched 2026-08-28 · 193dd245393c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| richardwilly98/elasticsearch-river-mongodb | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="richardwilly98/elasticsearch-river-mongodb")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem