Skip to content
SPECIFICTION
Get listed

Elasticsearch vs Vearch

Elasticsearch

elastic.co

Vearch

vearch.github.io

Side by side

FigureElasticsearchVearch
Price from$99/moFree
Free plan—Yes
Free trialYes—
Open source——
WebYes—
macOS—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published81
Spec score · Vector Databases8.5 (#4)7.8 (#16)
DeploymentIt can run on premises, in the cloud, across clouds, or as a managed serverless service.Documented deployment options include Kubernetes with Helm, Docker Compose, Docker, and source compilation.
IntegrationsElastic describes 350+ integrations and supports ingestion through Elastic Agent, connectors, APIs, language clients, and Logstash.The project lists integrations with LangChain, LlamaIndex, LangChainGo, and LangChain4j.
SupportElastic Cloud Hosted and Serverless offer four support tiers depending on subscription tier.The project directs users to GitHub Issues, a public email discussion list, and Slack for community support.

Plans

Elasticsearch

  • BasicPriced on request
  • Standard$99 a month
  • Gold$114 a month
  • Platinum$131 a month
  • Enterprise$184 a month
  • Elastic Cloud HostedPrice not published
  • Elastic Cloud ServerlessPrice not published
  • Self-managed ElasticsearchPriced on request

Elasticsearch pricing →

Vearch

  • VearchFree

Vearch pricing →

In their own words

Elasticsearch

Elasticsearch has no write-up on Specifiction yet; its figures are above.

Visit elastic.co

Vearch

Vearch is a free, open-source, cloud-native distributed vector database for similarity search in AI applications. It searches embedding vectors and can combine vector queries with scalar filtering for metadata conditions. The project describes replication and elastic scale-out and says it can retrieve vectors among millions of objects in milliseconds. Its Router exposes REST operations for upserting, deleting, searching, and querying data. Client SDKs are listed for Python, Go, Java, and Rust, with integrations for LangChain, LlamaIndex, LangChainGo, and LangChain4j. Deployment options include Kubernetes through Helm, Docker Compose in standalone or cluster mode, Docker, and compilation from source. PartitionServer uses Raft-based replication for document partitions, while Gamma is a Faiss-based vector search engine. Vearch is licensed under Apache License 2.0 and supports Linux and macOS self-hosted deployments. Community support is available through GitHub Issues, an email discussion group, and Slack. The VisualSearch demo requires an image retrieval plugin for object detection and feature extraction.

Visit vearch.github.io