turbopuffer
6.1#26 in ai databasesFrom $16 a monthWebAPISelf-hosted
Visitturbopuffer vs Vespa
What both publish
| Fact | turbopuffer | Vespa |
|---|---|---|
| API | The documentation describes API operations to write, update, delete, and query documents. | Applications can write data through HTTP/2, the Document API, or client tools, and can query through the Query API or custom request handlers. |
| Headquarters | Canada | Vespa says its headquarters and engineering hub are in Trondheim, Norway. |
| Product | turbopuffer is an object-storage-native database for vector and full-text search. | Vespa is an AI search platform for online data-driven applications that combines retrieval, ranking, machine-learning inference, and real-time serving. |
| Search | It supports vector search, text search, filters, regex search, and hybrid search. | Vespa supports vector and tensor search, positional text search, and search over structured data. |
| Security | Customer data is encrypted in transit with TLS 1.2+ and at rest with AES-256, with customer-managed keys optionally available. | 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. |
| Support | The pricing page lists Community Slack and Email support on Launch, and private Slack support on Scale and Enterprise. | The Startup plan includes community support only with no SLA; Cloud plans list unlimited support cases, with response times varying by plan. |
turbopuffer plans
- launch$16 a month
- scale$256 a month
- enterprise$4,096 a month
Vespa plans
- Startup—
- Basic—
- Commercial—
- Enterprise—
- Enterprise *$0.18 a month
- Self ManagedPriced on request
Pick turbopuffer if…
turbopuffer suits teams building applications that need vector, text, or hybrid search through an API. Its plans also target organizations needing self-hosting, compliance documentation, private networking, or enterprise support.
Pick Vespa if…
Vespa suits teams building AI applications that depend on search quality, ranking, fresh real-time data, or increasing retrieval traffic. It offers local, self-managed, and cloud deployment options.