AI Tool
Weaviate pricing, features, company info, and alternatives
A factual product page for Weaviate as an open-source AI-native vector database.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Weaviate, last verified Apr 21, 2026.
Free Trial
$0 / trial
Managed cloud sandbox with a 14-day trial.
Flex
$45 / month
Entry managed-cloud plan that starts at $45/month.
Cloud
$400 / month
Managed cloud plan with higher support and SLA tiers.
Enterprise
Contact sales
For larger deployments and broader region options.
What You Can Do With It
The main capabilities that shape how people use Weaviate today.
Open-source vector database for semantic search, RAG, and query-agent workflows.
Supports managed cloud, bring-your-own-cloud, and locally hosted Docker deployments.
Official quickstarts cover collection setup, vector search, RAG, and Query Agent workflows.
Security pages describe RBAC, encryption, multi-tenancy, backups, and trust-portal access.
Best For
Who Weaviate is most clearly built for.
Teams that want an open-source vector database with a managed cloud path.
Developers building retrieval-heavy AI applications and RAG systems.
Organizations that need cloud, BYOC, or self-managed deployment flexibility.
Company
Leadership and company context for Weaviate B.V..
CEO
Bob van Luijt
Headquarters
Amsterdam, the Netherlands
Platforms
Where you can use Weaviate today.
Web
API
Client libraries
Docker
BYOC
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Weaviate.
The privacy policy says Weaviate B.V. is responsible for personal data collected through its websites and services.
For serverless service data stored by customers, the corporate customer remains the controller under the GDPR.
Local quickstart docs say telemetry is enabled by default for self-hosted Docker deployments and can be opted out.
Compliance
Public compliance or enterprise-governance signals we found for Weaviate.
SOC 2
HIPAA
ISO 27001
Access
How to integrate or build around Weaviate.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Weaviate.
Managed vector database and retrieval platform for search, RAG, and agent applications.
Enterprise AI platform with models, search, and private deployment options.
AWS's managed foundation-model platform for building, customizing, and governing generative AI apps.
Product Snapshot
Weaviate is an open-source AI-native vector database with managed cloud, BYOC, and self-managed deployment options. Its docs position it around semantic search, RAG, and query-agent workflows.
What You Can Do With It
- Create collections, import data, and run vector search queries.
- Build retrieval-augmented generation workflows on managed cloud or local deployments.
- Use Query Agent features in supported cloud setups.
- Start in a free cloud sandbox, move to paid cloud tiers, or run Weaviate locally with Docker.
Why It Stands Out
It combines an open-source core with multiple deployment models instead of forcing teams into one managed-only path.
Tradeoffs To Know
- The free managed option is a short-term trial rather than an ongoing free production tier.
- Managed pricing varies by plan and workload dimensions, so buyers need to read the current pricing table closely.
- Local Docker deployments enable telemetry by default unless you opt out.
Sources
- weaviate.io/pricing
- weaviate.io/company/about-us
- weaviate.io/privacy
- weaviate.io/blog/weaviate-celebrates-a-fourth-birthday
- docs.weaviate.io/weaviate/quickstart
- docs.weaviate.io/wcs/quickstart
- weaviate.io/security
- docs.weaviate.io/weaviate/quickstart/local
- weaviate.io/blog/weaviate-iso-compliant
- docs.weaviate.io