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Elasticsearch vs Vespa

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Vespa

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

FactElasticsearchVespa
DeploymentIt can run on premises, in the cloud, across clouds, or as a managed serverless service.Vespa can be self-managed, run with the Vespa Kubernetes Operator, or deployed on Vespa Cloud.
Founded2012Gartner Peer Insights lists Vespa’s founding year as 2023.
HeadquartersAmsterdam, Netherlands, and Mountain View, California, United StatesVespa says its headquarters and engineering hub are in Trondheim, Norway.
IntegrationsElastic describes 350+ integrations and supports ingestion through Elastic Agent, connectors, APIs, language clients, and Logstash.Vespa Cloud Enclave can run applications in customer accounts on AWS, Azure, or Google Cloud Platform.
SearchIt supports full-text, semantic, and hybrid search with filters, ranking, and reranking.Vespa supports vector and tensor search, positional text search, and search over structured data.
SupportElastic Cloud Hosted and Serverless offer four support tiers depending on subscription tier.The Startup plan includes community support only with no SLA; Cloud plans list unlimited support cases, with response times varying by plan.

Elasticsearch plans

  • BasicPriced on request
  • Standard$99 a month
  • Gold$114 a month
  • Platinum$131 a month
  • Enterprise$184 a month
  • Elastic Cloud Serverless—

Vespa plans

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

Pick Elasticsearch if…

Elasticsearch suits teams building search or analytics applications that need full-text, semantic or vector search. It also fits organisations choosing between self-managed, cloud-hosted and serverless deployment.

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