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Filter in Explore Elasticsearch
3 production projects and 0 rule sets built with Elasticsearch.
Production projects
- Team Collaboration Suite Classic Mattermost A single Go binary keeps the API, scheduler, and websocket hub in one deployable process backed by a required PostgreSQL database, while optional Redis, Elasticsearch, and OpenSearch clients let larger deployments add caching and full-text search without changing the core architecture.
- LLM Knowledge Base & RAG Platform Classic WeKnora Retrieval, agents and the API sit in one Go service, and parsing is delegated to a Python gRPC service. Storage backends are pluggable, so the same codebase runs as a lite SQLite binary or a full Kubernetes deployment on existing Postgres, Elasticsearch or vector databases.
- Distributed Workflow Orchestrator Classic Temporal Temporal keeps workflow code in external workers and persists every state transition as an event history that the Go gRPC cluster (Frontend, History and Matching services) replays after crashes or restarts, so long-running workflows survive failures on PostgreSQL, MySQL, SQLite or Cassandra storage.
Often used with Elasticsearch
Questions about Elasticsearch
How many production projects use Elasticsearch?
3 verified production projects in the STACK IT FAST directory use Elasticsearch, each with a full architecture breakdown.
What is Elasticsearch most often used with?
Across projects in the directory, Elasticsearch is most commonly paired with Go, PostgreSQL, Redis.