What tech stack does Weaviate use?
Weaviate's stack is detected from public sources such as documentation, GitHub, pricing pages, product pages, engineering content, and job-market signals. It is directional, not a complete internal CMDB.
- Frontend
- Go database core
- Backend
- GraphQL and gRPC APIs
- Cloud
- AWS, GCP, Azure
- Data
- HNSW and hybrid search
- Critical path
- Python and TypeScript clients
- GTM / Ops
- Kubernetes deployments
Weaviate's detected stack
Public signals show Go, GraphQL, gRPC, HNSW, Kubernetes and related technologies.
- Go· Backend
- GraphQL· API
- gRPC· API
- HNSW· Vector indexing
- Kubernetes· Infrastructure
- AWS· Cloud
- GCP· Cloud
- Azure· Cloud
- Python client· SDK
- TypeScript client· SDK
Sources:Weaviate about pageWeaviate pricingWeaviate Series B release
What does Weaviate use on the backend and infrastructure?
Go, Kubernetes, AWS, GCP, Azure are the most visible backend or infrastructure signals. These choices imply a technical buyer that will care about reliability, observability, security, and integration quality.
What does Weaviate use on the frontend, data, or GTM tooling?
GraphQL, gRPC, Python client, TypeScript client are visible in public product and developer materials. Sellers should confirm the current internal owner before assuming a tool is standardized everywhere.
What Weaviate's stack means if you sell to them
Integration-led pitches work best. Map your value to the stack already in place, show how deployment fits existing cloud and security controls, and be precise about whether you complement, replace, or reduce spend on current infrastructure.
As of June 2026.Sources:Weaviate about pageWeaviate pricingWeaviate Series B release
Weaviate — frequently asked questions
