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SPECIFICTION
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EmergentDB vs Weaviate

EmergentDB

emergentdb.com

Weaviate

weaviate.io

Side by side

FigureEmergentDBWeaviate
Price from$2/mo$45/mo
Free planYesYes
Free trial——
Open source——
WebYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published54
Spec score · Vector Databases8.4 (#5)8.0 (#10)
ProductEmergentDB is an open-source, self-hosted vector database licensed under AGPL-3.0.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.
SupportThe Community plan includes community support.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

EmergentDB

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

EmergentDB pricing →

Weaviate

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

Weaviate 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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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