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EmergentDB vs Vespa

EmergentDB

emergentdb.com

Vespa

vespa.ai

Side by side

FigureEmergentDBVespa
Price from$2/moFree
Free planYesYes
Free trial—Yes
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published57
Spec score · Vector Databases8.4 (#5)8.8 (#3)
ProductEmergentDB is an open-source, self-hosted vector database licensed under AGPL-3.0.Vespa is an AI search platform for online data-driven applications that combines retrieval, ranking, machine-learning inference, and real-time serving.
SupportThe Community plan includes 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

EmergentDB

  • CommunityFree
  • Launch$24 a year
  • Launch$29 a month
  • Scale$66 a year
  • Scale$79 a month

EmergentDB 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

EmergentDB

EmergentDB is an open-source, self-hosted vector database under the AGPL-3.0 license, also available as managed cloud. It automatically selects a search strategy for a dataset, without requiring manual tuning. Vector insertion and search are available through REST API endpoints; vectors can also be inserted with the TypeScript SDK, using embeddings from any source. Listed index types are Flat, HNSW, IVF, PQ, and Emergent, and SDK languages include TypeScript and Python. The free Community plan includes unlimited vectors, queries, and writes, plus community support and the Bolt-lite engine. Managed Launch is listed at $24 per year, billed annually, with a 500K-vector limit; Scale is $66 per year, billed annually, with a 2.5M-vector limit and dedicated instance. The site lists ISO 27001, SOC 2 Type II, GDPR, HIPAA-ready status, and US, EU, and Asia-Pacific data residency. It also reports a crash-safe write-ahead log and performance figures for specified workloads.

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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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