Cloudflare Vectorize vs Vespa
Cloudflare Vectorize
developers.cloudflare.comVespa
vespa.aiSide by side
| Figure | Cloudflare Vectorize | Vespa |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 7 |
| Spec score · Vector Databases | 8.0 (#8) | 8.8 (#3) |
| Spec score · Ai Databases | 7.9 (#17) | 8.7 (#5) |
| Founded | 2009 | Gartner Peer Insights lists Vespa’s founding year as 2023. |
| Headquarters | San Francisco, California, United States | Vespa says its headquarters and engineering hub are in Trondheim, Norway. |
| Product | Vectorize is a globally distributed vector database for building AI powered applications with Cloudflare Workers. | Vespa is an AI search platform for online data-driven applications that combines retrieval, ranking, machine-learning inference, and real-time serving. |
| Support | Cloudflare directs Vectorize users to its #vectorize Discord channel for questions, discussion, bug reports, and feedback. | The Startup plan includes community support only with no SLA; Cloud plans list unlimited support cases, with response times varying by plan. |
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
Cloudflare Vectorize
Cloudflare Vectorize is a globally distributed vector database for AI applications built with Cloudflare Workers. It supports semantic search, recommendations, classification, anomaly detection, and supplying context to large language models. Vectors can come from Workers AI models or services such as OpenAI. Workers connect to indexes through a Vectorize binding configured in Wrangler or the Cloudflare dashboard, while a REST API can insert and query vectors. Search results can reference images in R2, documents in KV, and user profiles in D1. Metadata filters support indexed string, number, and boolean properties, with up to 10 metadata indexes per index. Each index can hold up to 20 million vectors, with a maximum of 1,536 dimensions at 32-bit precision. Queries return up to 50 results with values or metadata, or 100 without them. Cloudflare lists a free plan and paid usage from $5/mo. The Workers Free plan includes stated monthly queried and stored dimension allowances. Cloud deployment is available through API and web access.
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.