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pganalyze

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38 reviews
  • 1 profiles
  • 2 categories
Average star rating
4.4
Serving customers since
2012

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Star Rating

21
17
0
0
0

pganalyze Reviews

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Profile Name
Star Rating
21
17
0
0
0
Michael H.
MH
Michael H.
Director, Software Engineer, Team Builder, Scrum Master
01/09/2026
Validated Reviewer
Verified Current User
Review source: G2 invite on behalf of seller
Incentivized Review

Essential for PostgreSQL Performance Monitoring

I use pganalyze for monitoring our Postgres database daily for performance issues. It helps identify long-running queries and pinpoint queries that are constantly reading and writing to our database. I really like being able to see what's going on performance-wise with our database.
Campbell A.
CA
Campbell A.
12/14/2025
Validated Reviewer
Review source: G2 invite on behalf of seller

Empowers Our Database Performance Monitoring

I like that pganalyze just works and they keep adding new features to really get into the nitty gritty of understanding how the system works. They give you expert insights, which feels like standing on the shoulders of PostgreSQL experts, allowing us to focus more on our application and business domain. I also enjoy the server log, query and auto-vacuum insights, table bloat, and query performance tuning via plan statistics and comparisons. The initial setup is quite easy, get the container, inject the database auth credentials, and set up some functions done.
Divyesh J.
DJ
Divyesh J.
12/11/2025
Validated Reviewer
Review source: G2 invite on behalf of seller

Effortless Setup and Robust Support Improve DB Insights

I like the ease of setup with pganalyze; the setup process was smooth and straightforward. It has a significant impact on database support by identifying several missing indexes, which is super helpful for optimization. The customer support is excellent, with fast response times, typically within a few hours.

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HQ Location:
San Francisco, US

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What is pganalyze?

Postgres performance at any scale. Deliver consistent database performance and availability through intelligent tuning advisors and continuous database profiling.

Details

Year Founded
2012