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Qdrant vs Vespa

Qdrant logo

Qdrant

6.9#5 in vector databasesFree plan
Free planWebAPILinuxmacOS
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Vespa logo

Vespa

8.4#1 in ai search and discovery platforms software
WebAPILinuxmacOS
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What both publish

FactQdrantVespa
DeploymentQdrant can be run locally using its Docker image or used through Qdrant Cloud.Vespa can be self-managed, run with the Vespa Kubernetes Operator, or deployed on Vespa Cloud.
Founded2021Gartner Peer Insights lists Vespa’s founding year as 2023.
Free planYesNo
HeadquartersBerlin, GermanyVespa says its headquarters and engineering hub are in Trondheim, Norway.
IntegrationsQdrant lists integrations including LangChain, LlamaIndex, Airbyte, Unstructured, DocArray, and AutoGen.Vespa Cloud Enclave can run applications in customer accounts on AWS, Azure, or Google Cloud Platform.
ProductQdrant is a vector similarity search engine with an API to store, search, and manage vectors with additional payload data.Vespa is an AI search platform for online data-driven applications that combines retrieval, ranking, machine-learning inference, and real-time serving.
SupportThe pricing page lists community support as Discord-only and paid support options with 10h/day business-hours or 24/7 coverage.The Startup plan includes community support only with no SLA; Cloud plans list unlimited support cases, with response times varying by plan.

Qdrant plans

  • Free TierFree
  • Hybrid CloudPriced on request
  • Premium TierPriced on request
  • Private CloudPriced on request
  • Standard TierPriced on request

Vespa plans

  • Startup—
  • Basic—
  • Commercial—
  • Enterprise—
  • Enterprise *$0.18 a month
  • Self ManagedPriced on request

Pick Qdrant if…

Qdrant suits developers building semantic search or recommendation systems who need vector storage, metadata filtering, or hybrid retrieval. Its deployment choices may suit teams working locally or through a cloud service.

Pick Vespa if…

Vespa suits teams building AI applications that depend on search quality, ranking, fresh real-time data, or increasing retrieval traffic. It offers local, self-managed, and cloud deployment options.

Charts they share