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Vespa
Vespa says its headquarters and engineering hub are in Trondheim, Norway.
What it is
Vespa is an AI search platform for online, data-driven applications. It combines retrieval, ranking, machine-learning inference, and real-time serving, with search across vectors and tensors, positional text, and structured data. Ranking signals can be scored with tensor functions or machine-learned models, including ONNX and XGBoost formats; ONNX Runtime supports model inference. Vespa distributes functions across node clusters and allows cluster size changes without affecting queries or writes. Teams can manage deployments themselves, use the Vespa Kubernetes Operator, or deploy on Vespa Cloud. Local deployment guidance covers Linux, macOS, and Windows 10 Pro on x86_64 or arm64 with Docker Desktop or Podman Desktop. Vespa Cloud encrypts data at rest and in transit, uses node and endpoint certificates, and automatically updates OS patches. Its Enclave option runs in a customer's AWS, Azure, or GCP account, with provider resource costs charged separately. Cloud trials include $300 in credits, require no credit card, and stop applications when credits run out. Pricing starts at $0.05 a month, with cloud quotas and plan-specific support.
For and against
For
- Searches vectors, tensors, positional text, and structured data
- Supports ONNX and XGBoost ranking models
- Cluster size can change without disrupting queries or writes
- Cloud trial includes $300 in usage credits
- Supports self-managed, Kubernetes Operator, and cloud deployment
Against
- No free plan is listed
- Cloud plans have quotas
- Startup is limited to development zones
- Startup has community support only, with no SLA
The verdict
Vespa brings search, ranking, inference, and real-time serving into one platform with several deployment paths. Plan quotas and differing support terms are worth weighing, especially for production use.
Who it suits
Vespa is intended for teams building AI applications where search quality, ranking, fresh real-time data, or increasing retrieval traffic matter. It can suit teams that want self-managed deployment or managed cloud options.
Plans and prices
Startup
Shared resources · no SSO or autoscaling · no redundancy by default · dev zones only
Read 14 Oct 2026 · cloud.vespa.ai
Basic
For applications that do not need 24/7 operational support
Read 14 Oct 2026 · cloud.vespa.ai
Commercial
24/7 operational support · production response time 1 hour
Read 14 Oct 2026 · cloud.vespa.ai
Enterprise
24/7 deployment support · backup and disaster recovery · SSO · named support representative
Read 14 Oct 2026 · cloud.vespa.ai
Enterprise *
Prices go down with volume · Minimum monthly spend of $20,000 · Backup and disaster recovery · SSO and dedicated support options
Read 4 Oct 2026 · cloud.vespa.ai
Self Managed
Self-managed deployment including support
Read 14 Oct 2026 · cloud.vespa.ai
On the record
- API
- Applications can write data through HTTP/2, the Document API, or client tools, and can query through the Query API or custom request handlers.docs.vespa.ai · read 14 Oct 2026
- Cloud service trial
- The Vespa Cloud page offers a free trial without requiring a credit card.cloud.vespa.ai · read 14 Oct 2026
- Company legal name
- The Norwegian business registry lists the company as VESPA.AI AS.virksomhet.brreg.no · read 14 Oct 2026
- Company size
- Gartner Peer Insights lists the company as having 11–50 employees.gartner.com · read 14 Oct 2026
- Customer cloud accounts
- Vespa Cloud Enclave runs applications inside a tenant's own AWS, Azure, or GCP account, with cloud-provider resource costs charged in addition to Vespa Cloud costs.docs.vespa.ai · read 4 Oct 2026
- Deployment
- Vespa can be self-managed, run with the Vespa Kubernetes Operator, or deployed on Vespa Cloud.docs.vespa.ai · read 4 Oct 2026
- Documentation depth
- Vespa documentation is organized into guides, tutorials, and reference material covering features and APIs.docs.vespa.ai · read 14 Oct 2026
- Extensible processing
- Application packages can include custom Java components to process queries, results, and document writes.docs.vespa.ai · read 14 Oct 2026
- Funding
- Vespa.ai announced a $31 million Series A investment from Blossom Capital on November 1, 2023.vespa.ai · read 14 Oct 2026
- Grouping and aggregation
- Search results can be grouped into nested groups and aggregated for uses such as navigation and result diversity.docs.vespa.ai · read 14 Oct 2026
- Integrations
- Vespa Cloud Enclave can run applications in customer accounts on AWS, Azure, or Google Cloud Platform.docs.vespa.ai · read 14 Oct 2026
- Licence
- The Vespa repository states that its code is licensed under Apache 2.0.github.com · read 14 Oct 2026
- Limit: Cost and resources
- A PeerSpot reviewer said Vespa was costly relative to Elasticsearch and resource-intensive, and advised that its learning curve and infrastructure costs may make it a poor fit outside enterprise use.peerspot.com · read 14 Oct 2026
- Limit: Documentation and setup
- A PeerSpot review summary identifies documentation for beginners and setup difficulty as challenges.peerspot.com · read 14 Oct 2026
- Limit: Learning curve
- A PeerSpot reviewer cited a steep learning curve as a challenge when using Vespa for e-commerce search.peerspot.com · read 14 Oct 2026
- Limit: Migration and authentication
- A PeerSpot review summary says migration scripts are difficult and mentions a lack of user authentication.peerspot.com · read 14 Oct 2026
- Machine-learned ranking
- Vespa supports ranking expressions using signals from queries and documents, including models in ONNX and XGBoost formats.vespa.ai · read 14 Oct 2026
- ML models
- Vespa supports ONNX and XGBoost models for ranking, and model inference using ONNX Runtime.vespa.ai · read 4 Oct 2026
