Vespa vs Weaviate
Vespa
vespa.aiWeaviate
weaviate.ioSide by side
| Figure | Vespa | Weaviate |
|---|---|---|
| Price from | Free | $45/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 7 | 4 |
| Spec score · AI Search and Discovery Platforms Software | 8.7 (#3) | 8.0 (#12) |
| Spec score · Vector Databases | 8.8 (#3) | 8.0 (#10) |
| Spec score · Ai Databases | 8.7 (#5) | 8.0 (#16) |
| Spec score · Search Databases | 8.7 (#5) | 8.0 (#15) |
| Spec score · Database Software | 8.8 (#17) | 8.0 (#51) |
| Deployment | Vespa can be self-managed, run with the Vespa Kubernetes Operator, or deployed on Vespa Cloud. | Weaviate can run as a hosted service or a self-managed instance locally or with a cloud provider; deployment options include Docker and Kubernetes. |
| Founded | Gartner Peer Insights lists Vespa’s founding year as 2023. | 2019 |
| Free plan | No | Yes |
| Integrations | Vespa Cloud Enclave can run applications in customer accounts on AWS, Azure, or Google Cloud Platform. | The integration ecosystem lists cloud and model integrations including AWS, Google Cloud, Azure, OpenAI, Anthropic, Cohere, Hugging Face, and Ollama. |
| Product | Vespa is an AI search platform for online data-driven applications that combines retrieval, ranking, machine-learning inference, and real-time serving. | 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. |
| Search | Vespa supports vector and tensor search, positional text search, and search over structured data. | The database supports hybrid search that combines vector and BM25 keyword search, along with semantic and keyword search. |
| Security | The Vespa Cloud security guide describes data-plane requests protected with mutual TLS or, optionally, tokens, and says Vespa.ai has a SOC 2 attestation. | The security page states that Weaviate Cloud encrypts data in transit and at rest, supports role-based access controls, and provides automated daily backups. |
| Support | The Startup plan includes community support only with no SLA; Cloud plans list unlimited support cases, with response times varying by plan. | 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
Vespa
- StartupPrice not published
- BasicPrice not published
- CommercialPrice not published
- EnterprisePrice not published
- StartupFree
- Enterprise *$0.18 a month
- Self ManagedPriced on request
In their own words
Vespa
Vespa is an AI search platform for online applications that use data, retrieval, ranking, machine-learning inference, and real-time serving. It supports vector and tensor search, positional text search, and queries over structured data. Ranking signals can be combined with tensor functions or machine-learned models, including ONNX and XGBoost formats; model inference can use ONNX Runtime. Vespa distributes functions across node clusters and allows cluster size changes without affecting queries or writes. Teams can self-manage deployments, use the Vespa Kubernetes Operator, or run on Vespa Cloud. Local deployment guidance lists Linux, macOS, and Windows 10 Pro on x86_64 or arm64 with Docker Desktop or Podman Desktop. Vespa Cloud includes encryption at rest and in transit, certificates for nodes and endpoints, and automatic operating system patching. Its trial provides $300 in credits without requiring a credit card, then stops the application when credits are used. Cloud plans have quotas, and Startup is limited to development zones. Pricing is listed from $0.05 a month, with metered resource rates.
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#.