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Vespa mindshare

Product category:
As of June 2026, the mindshare of Vespa in the Open Source Databases category stands at 1.7%, up from 0.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
Vespa1.7%
PostgreSQL13.1%
MySQL11.4%
Other73.8%
Open Source Databases
 
 
Key learnings from peers
Last updated Jun 17, 2026

Valuable Features

Room for Improvement

Top industries

By visitors reading reviews
Computer Software Company
16%
Comms Service Provider
12%
Financial Services Firm
10%
Healthcare Company
8%
Insurance Company
7%
Real Estate/Law Firm
5%
Retailer
4%
Media Company
4%
Government
4%
Outsourcing Company
4%
Pharma/Biotech Company
3%
University
3%
Hospitality Company
3%
Manufacturing Company
3%
Marketing Services Firm
3%
Energy/Utilities Company
3%
Wholesaler/Distributor
1%
Construction Company
1%
Non Tech Company
1%
Non Profit
1%
Performing Arts
1%
Recreational Facilities/Services Company
1%

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Vespa customers

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Vespa Reviews Summary
Author infoRatingReview Summary
Lead Technical Architect at Zoro UK3.0I used Vespa for e-commerce search, appreciating its powerful vector search and DSL. However, the steep learning curve, poor documentation, difficult setup, and high costs compared to Elasticsearch were significant challenges, leading me to rate it a six out of ten.
Recommendation Platform Developer at Remote Labs4.0I find Vespa excellent for in-database ranking and filtering, outperforming previous solutions. However, migration scripts are difficult, it lacks user authentication, and documentation needs improvement for beginners. Despite its power, it is resource-intensive and requires expertise.
Integration Related To Ai at RedBlink Technologies4.5I moved our RAG pipeline from Quadrant to Vespa for its hybrid search, scalability, and reliable retrieval of large documents. Self-hosted on AWS, it significantly enhanced our AI integrations, despite needing UI, and offers excellent speed.
검색 엔지니어 at a computer software company with 1,001-5,000 employees4.0I used Vespa for a semantic search POC, finding its architecture, stability, and scalability excellent, especially compared to Elasticsearch. I wished for a monitoring dashboard and more deployment examples, but rated it 8/10 for its overall potential.