Tools
Chroma vs Weaviate
Chroma or Weaviate? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In inglese
In short
- Both: Choice of models, Self-hosted, API, Official SDKs, Builds agents and workflows, Search over your data
- Only Chroma states: Knows the whole codebase, Command line
- Only Weaviate states: Runs models for you
Chroma
Open-source infrastructure for storing, indexing, and searching data for AI applications.
Plans
Starter
Free
- 10 databases
- 10 team members
- Community Slack
Team
- $250 /month
- 100 databases
- 30 team members
- Slack support
- SOC II
- Volume-based discounts
Enterprise
Price on request
- Unlimited databases
- Unlimited team members
- Dedicated support
- Single tenant clusters
- BYOC clusters
- SLAs
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Knows the whole codebase — “Index codebases to power coding agents using AST-aware chunking.” source
- Command line — “Command-line tools for development” source
- Choice of models — “Use any embedding model. OpenAI, Cohere, Hugging Face, sentence-transformers, and more.” source
- Self-hosted — “Run it locally, self-host, or use Chroma Cloud for a managed, serverless experience.” source
- API — “Schema() and Search() APIs” source
- Official SDKs — “Create a self-hosted or cloud database and add data to it using the Chroma SDK.” source
- Builds agents and workflows — “Build agents that iteratively search and refine results for complex queries.” source
- Search over your data — “store embeddings with metadata, search with dense and sparse vectors, filter by metadata, and retrieve across text, images, and more.” source
Security
- SOC 2 Type II — “Our security program has been independently assessed through a SOC 2 Type II examination, validating the design of our security controls.” source
- SOC 2 — “Our security program has been independently assessed through a SOC 2 Type II examination, validating the design of our security controls.” source
Weaviate
Weaviate is an open-source AI database for storing, searching, and retrieving vectorized data in self-hosted or managed deployments.
Plans
Free
Free
- Always free — 1 cluster per user
- 100,000 objects · 1 GB memory · 10 GB disk
- 1 collection, up to 3 tenants
- Embeddings (2,000 req/day) + Query Agent (1,000 req/mo)
- Basic Support
Flex
- Starts at $45 /mo
- Pay-as-you-go, monthly, no commitment
- Shared cloud cluster with full core DB toolkit + replication
- Baseline security with RBAC
- Highly available clusters — 99.5% uptime
- Query Agent free tier + usage-based; Embeddings usage-based
- Standard support — next-business-day Sev 1
Premium
Price on request
- Prepaid contract with predictable spend
- Choice of shared or dedicated deployment
- Trusted reliability — up to 99.95% uptime
- Global coverage on AWS, GCP & Azure
- Query Agent free tier + usage-based; Embeddings usage-based
- Enterprise support — as fast as 1-hour Sev 1 + dedicated Technical Account Team
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Choice of models — “Seamlessly connect your data with models from a range of providers.” source
- Self-hosted — “Weaviate’s open source AI database can be self-hosted or run as a managed service in Weaviate Cloud to reduce operational overhead.” source
- API — “Use SDKs for Python, Go, TypeScript, or JavaScript, or connect to GraphQL or REST APIs.” source
- Official SDKs — “Use SDKs for Python, Go, TypeScript, or JavaScript, or connect to GraphQL or REST APIs.” source
- Runs models for you — “Access embedding models hosted in Weaviate Cloud. Simple, pay-as-you-go, GPU-powered.” source
- Builds agents and workflows — “Pre-built agentic workflows that dynamically interact with your data in Weaviate to perform sync, async, and multi-step tasks.” source
- Search over your data — “Store, index, and search high-dimensional vectors at any scale. The foundation for search, RAG, and agents.” source
Security
- HIPAA — “Stay compliant with SOC 2, HIPAA, data privacy, and explainability.” source
Latest updates
- v1.39.6 - LSM store performance improvements, HNSW ACORN & HFresh index Fixes (v1.39.6)
Adds a Weaviate Embeddings rate limit and removes the /v1/modules endpoint and contextionary extension/concept handlers.
- v1.38.17 - LSM store performance improvements (v1.38.17)
- v1.38.16 - Bug fixes and performance improvements across modules, roaringset, and index queues (v1.38.16)
Fixes replica movement runtime configuration and improves RoaringSet memtable flush and compaction performance.