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turbopuffer vs Weaviate

turbopuffer

turbopuffer.com

Weaviate

weaviate.io

Side by side

FigureturbopufferWeaviate
Price from$16/mo$45/mo
Free plan—Yes
Free trial——
Open source——
WebYesYes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published34
Spec score · Vector Databases7.5 (#18)8.0 (#10)
Spec score · Ai Databases7.3 (#29)8.0 (#16)
Spec score · Search Databases7.3 (#25)8.0 (#15)
Complianceturbopuffer undergoes SOC 2 Type 2 audits and provides a DPA for GDPR and CCPA processes.The pricing page states that Weaviate Cloud is SOC 2 audited and that Enterprise Cloud on AWS is HIPAA compliant.
Productturbopuffer is an object-storage-native database for vector and full-text search.Weaviate is an open-source AI vector database for storing, indexing, and searching high-dimensional vectors, used as a foundation for search, RAG, and agents.
SearchIt supports vector search, text search, filters, regex search, and hybrid search.The database supports hybrid search that combines vector and BM25 keyword search, along with semantic and keyword search.
SecurityCustomer data is encrypted in transit with TLS 1.2+ and at rest with AES-256, with customer-managed keys optionally available.The security page states that Weaviate Cloud encrypts data in transit and at rest, supports role-based access controls, and provides automated daily backups.
SupportThe pricing page lists Community Slack and Email support on Launch, and private Slack support on Scale and Enterprise.Free includes Basic Support; Flex lists Standard Support with next-business-day Sev 1 response, while Premium lists enterprise support as fast as 1-hour Sev 1.

Plans

turbopuffer

  • launch$16 a month
  • scale$256 a month
  • enterprise$4,096 a month

turbopuffer pricing →

Weaviate

  • FreeFree
  • Flex$45 a month
  • Premium$400 a month
  • PremiumPriced on request

Weaviate pricing →

In their own words

turbopuffer

turbopuffer has no write-up on Specifiction yet; its figures are above.

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Weaviate

Weaviate is an open-source AI vector database for storing, indexing and searching high-dimensional vectors, used as a foundation for search, retrieval-augmented generation (RAG) and agents. Its hybrid search combines vector retrieval with BM25 keyword search, alongside semantic and keyword search. Other listed capabilities include advanced filtering, vectorizer modules, configurable backups, native multi-tenancy, vector-index compression and tenant isolation. It can run as a hosted service or as a self-managed instance locally or with a cloud provider, with Docker and Kubernetes deployment options. Its integrations include AWS, Google Cloud, Azure, OpenAI, Anthropic, Cohere, Hugging Face and Ollama. Weaviate Cloud encrypts data in transit and at rest, supports role-based access controls and provides automated daily backups. The Free plan includes up to 100,000 objects, one collection and three tenants, but no backups or high-availability replication. Flex costs $45 a month; Premium costs $400 a month. Windows use is possible through containers such as Docker or WSL, but native Windows support is not offered. SDKs are listed for Python, TypeScript/JavaScript, Go, Java and C#.

Visit weaviate.io