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Feature comparison

Percona Search for MongoDB is currently available as a technical preview.

The following table compares the current capabilities of Percona Search for MongoDB with MongoDB Community Edition, MongoDB Enterprise Advanced, and MongoDB Atlas.

Capability Percona Search for MongoDB MongoDB Search (Community) MongoDB Search (Enterprise) Atlas Search
Deployment model Self-managed Self-managed Self-managed Fully managed
Kubernetes Operator support Technical Preview Technical Preview Technical Preview N/A
Number of Search nodes 1 any any any
Full-text search Yes Yes Yes Yes
Vector search Yes Yes Yes Yes
Manual embeddings Yes Yes Yes Yes
Automatic embeddings open model choice locked to Voyage AI locked to Voyage AI locked to Voyage AI
Self-hosted / Open Embedding Models Ollama, vLLM, llama.cpp, TEI, etc. No No No
Backup and Restore integration No No No Yes (index definitions only)
Reranking Planed (open cross-encoder) No No Yes
Native LLM answer generation Integrate an external LLM Integrate an external LLM Integrate an external LLM Integrate an external LLM
Product status Technical Preview Generally available Generally available Generally available

Note

  • Percona Search for MongoDB currently supports manual embeddings. Automatic embedding generation is planned for a future release.

Next steps

Full-text search overview

Vector search overview