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Sync MongoDB to Elasticsearch in realtime
Monstache is a sync daemon written in Go that continously indexes your MongoDB collections into Elasticsearch. Monstache gives you the ability to use Elasticsearch to do complex searches and aggregations of your MongoDB data and easily build realtime Kibana visualizations and dashboards.
Supports up to and including the latest versions of Elasticsearch and MongoDB
Single binary with a light footprint
Pre built Docker containers
Optionally filter the set of collections to sync
Advanced support for sharded MongoDB clusters including auto-detection of new shards
Direct read mode to do a full sync of collections in addition to tailing the oplog
Transform and filter documents before indexing using Golang plugins or JavaScript
Index the content of GridFS files
Support for propogating hard/soft document deletes
Support for propogating database and collection drops as index deletes
Optional custom document routing in Elasticsearch
Stateful resume feature
Time machine feature to track document changes over time
Worker and Clustering modes for High Availability
Support for rfc7396 JSON merge patches
Systemd support
Optional http server to get access to liveness, stats, etc
See Getting Started for instructions how to get it up and running.