Vespa
Vespa: A powerful distributed engine for hybrid retrieval, ranking, and real-time AI search. Ranked #11 of 27 in Vector Databases by our editors (8.3/10); pricing: Paid; best for large-scale search and ranking systems.
At a glance
- Editor score8.3 / 10
- PricingPaid
- Best forLarge-scale search and ranking systems
- Free planNo
- Paid from$0.05/unit usage-based
- DeploymentBoth
- Facts checked22 Sep 2026
Where it wins
- Combines dense, lexical, hybrid, exact, and ANN search
- Supports real-time updates, filtering, ranking, and inference
- Scales across distributed deployments with automatic data distribution
Where it doesn't
- No free plan for evaluating hosted Vespa Cloud
- Advanced capabilities may require substantial search expertise
- Startup includes shared resources and no autoscaling
Our verdict on Vespa
Vespa is a distributed AI search and serving platform for teams building search, recommendations, personalization, navigation, and retrieval-augmented generation applications. It brings vector and tensor search, lexical retrieval with BM25, structured filtering, machine-learning inference, ranking, and real-time data serving into one engine. Vespa supports both Vespa Cloud and self-managed deployment, with platforms covering Windows, macOS, Linux, APIs, and user-managed infrastructure.
Search depth is a central strength. The platform supports dense vector and tensor search, sparse and dense hybrid retrieval, HNSW approximate nearest-neighbor indexing, exact nearest-neighbor search, multi-vector and multi-field indexing, and metadata filtering. Real-time vector indexing and updates suit applications where content or user signals change frequently. Its ranking and inference capabilities also provide a broader search and serving layer than a narrowly focused vector index, making Vespa relevant to systems that need retrieval, scoring, and model-driven decisions together.
According to the vendor's published plans, hosted pricing starts at $0.05 per vCPU per hour on Startup, which includes shared resources, community support, dev zones only, and no autoscaling. Basic costs $0.10 per vCPU per hour and adds next-business-day production response, with prices decreasing with volume. Commercial costs $0.145 per vCPU per hour and adds 24/7 operational support, one-hour production response, backup, and disaster recovery. Enterprise costs $0.18 per vCPU per hour and adds 15-minute production response and single sign-on. Self Managed uses contract pricing. Vespa is a strong fit for teams that need broad retrieval and ranking control at scale; teams seeking a free hosted tier or a simpler, narrowly scoped vector service should look elsewhere.
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Vespa pricing
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Vespa fact sheet
| Free plan | No |
|---|---|
| Paid from | $0.05/unit usage-based |
| Deployment | Both |
| Hybrid search | Yes |
| Metadata filtering | Yes |
| Sparse vectors | Yes |
| Maximum dimensions | Not verified |
| Index types | HNSW |
| SDK languages | Python, Java |
| Deployment | Cloud, Self-hosted |
| Platforms | Linux |
| Support | Email, Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Paid (source) |
| Website | vespa.ai |
| Facts checked | 22 Sep 2026 |
Alternatives to Vespa
- ElasticsearchA broad hybrid-search platform for teams adding vectors to mature analytics stacks.9.3
- Vertex AI Vector SearchA managed Google Cloud option for teams building dense, sparse, and hybrid search.9.2
- VikingDBA cloud vector database with dense, sparse, hybrid, filtered, and multimodal retrieval.9.1
Also Ranked In
Vespa is ranked in 7 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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