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SPECIFICTION
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Vearch vs Vespa

Vearch

vearch.github.io

Vespa

vespa.ai

Side by side

FigureVearchVespa
Price fromFreeFree
Free planYesYes
Free trial—Yes
Open source—Yes
Web—Yes
Windows—Yes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published17
Spec score · Vector Databases7.8 (#16)8.8 (#3)
APIThe Router exposes REST endpoints for upsert, delete, search, and query operations.Applications can write data through HTTP/2, the Document API, or client tools, and can query through the Query API or custom request handlers.
DeploymentDocumented deployment options include Kubernetes with Helm, Docker Compose, Docker, and source compilation.Vespa can be self-managed, run with the Vespa Kubernetes Operator, or deployed on Vespa Cloud.
IntegrationsThe project lists integrations with LangChain, LlamaIndex, LangChainGo, and LangChain4j.Vespa Cloud Enclave can run applications in customer accounts on AWS, Azure, or Google Cloud Platform.
Notable limitThe Vearch 3.5 database guide says a database cannot be deleted while it contains a space.All Vespa Cloud plans have a quota, and the Startup plan is limited to development zones.
ProductVearch is a cloud-native distributed vector database for similarity search of embedding vectors in AI applications.Vespa is an AI search platform for online data-driven applications that combines retrieval, ranking, machine-learning inference, and real-time serving.
SupportThe project directs users to GitHub Issues, a public email discussion list, and Slack for community support.The Startup plan includes community support only with no SLA; Cloud plans list unlimited support cases, with response times varying by plan.

Plans

Vearch

  • VearchFree

Vearch pricing →

Vespa

  • StartupPrice not published
  • BasicPrice not published
  • CommercialPrice not published
  • EnterprisePrice not published
  • StartupFree
  • Enterprise *$0.18 a month
  • Self ManagedPriced on request

Vespa pricing →

In their own words

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

Vespa

Vespa is an AI search platform for online applications that use data, retrieval, ranking, machine-learning inference, and real-time serving. It supports vector and tensor search, positional text search, and queries over structured data. Ranking signals can be combined with tensor functions or machine-learned models, including ONNX and XGBoost formats; model inference can use ONNX Runtime. Vespa distributes functions across node clusters and allows cluster size changes without affecting queries or writes. Teams can self-manage deployments, use the Vespa Kubernetes Operator, or run on Vespa Cloud. Local deployment guidance lists Linux, macOS, and Windows 10 Pro on x86_64 or arm64 with Docker Desktop or Podman Desktop. Vespa Cloud includes encryption at rest and in transit, certificates for nodes and endpoints, and automatic operating system patching. Its trial provides $300 in credits without requiring a credit card, then stops the application when credits are used. Cloud plans have quotas, and Startup is limited to development zones. Pricing is listed from $0.05 a month, with metered resource rates.

Visit vespa.ai