Back to directory
Vespa logo

Vespa

Open-source engine for search, recommendation, and serving machine-learned ranking at scale.

82Good

Where it fits

Teams with advanced search or recommendation workloads and the engineering capacity to operate them.

Watch points

The power and scale profile come with significant modeling, deployment, and operational complexity.

Score breakdown

15/15 - License

Apache-2.0 is the listed open-source license in the public project materials.

16/18 - Self-host

Vespa has public source and self-managed deployment paths; score reflects the expected operating footprint for search.

14/16 - Data

A self-hosted deployment keeps primary data under operator control, with migration and backup quality depending on the deployment design.

8/12 - Privacy

Privacy posture depends on configuration, telemetry, retention, and integration choices documented or implied by the public project materials.

8/8 - Interop

The project exposes standard web, API, protocol, or integration surfaces appropriate to search.

9/14 - Ops

The score reflects maintenance burden, release maturity, and the operational complexity implied by running this class of software.

8/12 - EU fit

It can be deployed in an EU-controlled environment; procurement fit still depends on support, contracts, accessibility, and hosting choices.

4/5 - Governance

Ownership and development are publicly visible through the linked project materials, but governance depth should be reviewed before procurement.

Review notes

Seed listing for the Sovereign Web Stack catalog. Treat this score as an evidence-backed starting point: contributors should improve it with more specific public links, deployment notes, security posture, export documentation, and governance evidence as the index matures.

Methodology note

This project is scored against the public Sovereign Web Stack methodology. Review the full scoring model before comparing tools across categories.

Open methodology