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Upstash Vector vs Vespa

Upstash Vector

upstash.com

Vespa

vespa.ai

Side by side

FigureUpstash VectorVespa
Price from$0.40/moFree
Free planYesYes
Free trialYesYes
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published47
Spec score · Vector Databases7.9 (#13)8.8 (#3)
HeadquartersCaliforniaVespa says its headquarters and engineering hub are in Trondheim, Norway.
IntegrationsThe documentation provides integrations for Vercel AI SDK, Flowise, LangChain, Langflow, LlamaIndex, and LlamaParse.Vespa Cloud Enclave can run applications in customer accounts on AWS, Azure, or Google Cloud Platform.
SupportEnterprise features include professional support with a response-time SLA, a dedicated Slack channel, and a dedicated account manager.The Startup plan includes community support only with no SLA; Cloud plans list unlimited support cases, with response times varying by plan.

Plans

Upstash Vector

  • FreeFree
  • Pay as You Go$0.40 a month
  • Fixed$60 a month
  • EnterprisePriced on request

Upstash Vector 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

Upstash Vector

Upstash Vector is a serverless cloud vector database for applications that need vector search, including NLP, RAG, recommendations, image recognition, clustering and classification. It uses DiskANN for approximate nearest-neighbor queries and also lists FreshDiskANN as an index type. Developers can use its REST API and SDKs, with first-class Python and TypeScript support and additional SDKs for Go and PHP. Similarity options include Euclidean distance, cosine similarity and dot product. Vectors can carry metadata, and query filters can restrict matches using metadata expressions. Hybrid indexes combine dense semantic search with sparse exact-token search and fuse the results. Documented integrations include Vercel AI SDK, Flowise, LangChain, Langflow, LlamaIndex and LlamaParse. The pricing page lists a default top-k limit of 1,000, up to 48 KB of metadata and 1 MB of data per vector. The Free plan allows 10K daily queries or updates and up to 1 GB of data and metadata. Pay as You Go costs $0.40 a month, billed per 100K requests, with separate storage and bandwidth terms. Region availability varies by plan.

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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.

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