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OpenSearch vs Vespa comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

OpenSearch
Ranking in Open Source Databases
15th
Ranking in Vector Databases
10th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Vespa
Ranking in Open Source Databases
20th
Ranking in Vector Databases
20th
Average Rating
7.6
Reviews Sentiment
4.8
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Open Source Databases category, the mindshare of OpenSearch is 4.6%, down from 4.7% compared to the previous year. The mindshare of Vespa is 1.7%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
OpenSearch4.6%
Vespa1.7%
Other93.7%
Open Source Databases
 

Featured Reviews

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Ganaraj Amakrishna - PeerSpot reviewer
Lead Technical Architect at Zoro UK
Vector search has improved e‑commerce relevance but setup and learning curve still need work
Vespa definitely had its own set of challenges. It was really hard to get into initially, especially when I started implementing it in 2024 along with one junior employee, and the lack of documentation made it difficult. I aimed for an implementation with ColBERT, a sparse embedding mechanism, which I believed would fit well for e-commerce. We went through iterations during A/B testing because the initial set did not work as expected, which extended the process to about one and a half years. Vespa has a considerable learning curve, making it challenging for most people to get into, and it is also expensive, which can deter startups or those with smaller budgets from using it. Community support was decent, and we turned to it for clarifications. However, substantial improvements in documentation are necessary, especially more examples for handling DSL effectively. Having a runtime testing feature would greatly facilitate quick iterations.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
11%
Manufacturing Company
10%
Educational Organization
6%
Comms Service Provider
14%
Financial Services Firm
11%
Healthcare Company
9%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Comparisons

 

Overview

 

Sample Customers

1. Amazon 2. Netflix 3. Yelp 4. Adobe 5. IBM 6. Microsoft 7. Cisco 8. Oracle 9. Salesforce 10. eBay 11. Spotify 12. Airbnb 13. Twitter 14. LinkedIn 15. Pinterest 16. Slack 17. Dropbox 18. Expedia 19. Uber 20. Lyft 21. Square 22. Zillow 23. Reddit 24. Hulu 25. Twitch 26. Booking.com 27. Etsy 28. Groupon 29. StubHub 30. TripAdvisor 31. Wayfair 32. Zappos
1. Yahoo 2. Verizon Media 3. Oath 4. Tumblr 5. AOL 6. Huffington Post 7. TechCrunch 8. Engadget 9. MapQuest 10. Moviefone 11. Autoblog 12. AOL Mail 13. Yahoo Mail 14. Yahoo Finance 15. Yahoo Sports 16. Yahoo News 17. Yahoo Search 18. Yahoo Answers 19. Yahoo Messenger 20. Yahoo Groups 21. Yahoo Weather 22. Yahoo Maps 23. Yahoo Fantasy Sports 24. Yahoo TV 25. Yahoo Movies 26. Yahoo Music 27. Yahoo Style 28. Yahoo Beauty 29. Yahoo Travel 30. Yahoo Autos 31. Yahoo Health 32. Yahoo Tech
Find out what your peers are saying about Oracle, PostgreSQL, ClickHouse and others in Open Source Databases. Updated: June 2026.
899,324 professionals have used our research since 2012.