Vespa
Vector database software
Database software
- Features
- Ease of use
- Ease of management
- Quality of support
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Pay-as-you-go
Free Trial
Free version unavailable
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- Media and communications
- Retail and wholesale
- Arts, entertainment, and recreation
What is Vespa
Vespa is an open-source engine for building and operating applications that combine search, vector similarity, and machine-learned ranking over large datasets. It is used by engineering teams to power retrieval-augmented generation (RAG), recommendation, and personalized search where low-latency querying and custom ranking logic are required. Vespa provides a document model, indexing, query execution, and ranking features in a single system, and it supports both lexical and vector retrieval in the same query pipeline.
Hybrid search and ranking
Vespa supports combining traditional text relevance signals with vector similarity in a single query. It includes a ranking framework that can incorporate multiple features and learned models for re-ranking. This is useful for applications that need more than nearest-neighbor retrieval, such as personalized search and recommendations.
Scalable distributed architecture
Vespa is designed to run as a distributed system with sharding and replication for large collections. It targets low-latency serving workloads where indexing and querying happen continuously. This makes it suitable for production deployments that need horizontal scaling and operational control.
Flexible schema and query model
Vespa provides a structured document schema with support for multiple field types, including tensors for embeddings. It offers expressive query capabilities and feature computation to support complex retrieval and ranking pipelines. This flexibility can reduce the need to stitch together separate search, vector, and ranking components.
Higher operational complexity
Running Vespa typically involves managing a multi-node cluster and understanding its configuration model. Compared with simpler single-binary search servers or managed database services, deployment and tuning can require more platform engineering effort. Teams may need to invest in monitoring, capacity planning, and upgrade processes.
Steeper learning curve
Vespa’s concepts (document schemas, ranking profiles, feature sets, and query/ranking configuration) can take time to learn. Implementing advanced ranking and hybrid retrieval often requires domain knowledge in information retrieval and ML ranking. This can slow initial prototyping for small teams.
Not a general-purpose OLTP database
Although it stores and serves documents, Vespa is primarily a serving engine for search and retrieval rather than a full relational or transactional database. It does not aim to replace SQL-first systems for complex joins, multi-row transactions, or broad application data modeling. Organizations may still need a separate system of record alongside Vespa.
Plan & Pricing
Pricing model: Pay-as-you-go (unit pricing by allocated resources; support level sets unit prices)
Free tier/trial: Free trial available (trial tenant quota: $2/hour). No evidence of a permanently free tier.
Unit example costs (initial unit prices by plan):
Startup (testing/dev; shared/dev zones; community support):
- vCPU: $0.05 per hour
- Memory: $0.005 per GB per hour
- Disk: $0.0002 per GB per hour
- GPU memory: $0.03 per GB per hour
Basic:
- vCPU: $0.10 per hour
- Memory: $0.01 per GB per hour
- Disk: $0.0004 per GB per hour
- GPU memory: $0.07 per GB per hour
Commercial (production; 24/7 operational support):
- vCPU: $0.145 per hour
- Memory: $0.0145 per GB per hour
- Disk: $0.0005 per GB per hour
- GPU memory: $0.10 per GB per hour
Enterprise (enterprise support, faster SLAs, add-on services):
- vCPU: $0.18 per hour
- Memory: $0.018 per GB per hour
- Disk: $0.0007 per GB per hour
- GPU memory: $0.125 per GB per hour
Discounts & volume pricing:
- Unit prices decrease linearly with total resources allocated to the application, up to a 50% reduction (up to 83% on Enclave deployments).
- Committed spend (1 year, no prepayment) gives a ~15% discount (8% on Enclave).
Minimums / quotas / special notes:
- Trial tenant quota: $2/hour (trial). Paid plans have a default tenant quota of $10/hour (contact support to change).
- Enclave (bring-your-own-cloud) requires a minimum tenant spend of $10,000 per month to enable Enclave pricing.
- Enterprise plan: certain entitlements (named rep, on-site support, etc.) require a minimum monthly spend of $20,000.
- Self-managed (on-prem / self-managed Vespa with support) — contact sales for pricing.
Billing basis: Charged for resources allocated to the application each hour (container and content clusters). Control plane resources included at no additional cost.
Free plan: No permanently free tier found on official site.
Free trial: Available (startable from Vespa Cloud console; trial quota noted above).
Seller details
Yahoo
Sunnyvale, California, United States
2005
Subsidiary
https://vespa.ai/
https://x.com/vespaengine
https://www.linkedin.com/company/vespa-engine
