Data as of Aug 25, 2026 · Based on 702 AI responses · Shares cover the last 30 days · See how Parse measures this
Database Performance Monitoring Tools
Parse
https://parse.gl
SolarWinds has solidified its position as the top-cited brand for database performance monitoring, climbing from rank #6 to #1 between October and March. This comes amid a significant market shift, as full-stack observability platforms like and have surged in prominence, while traditional leaders like have seen a notable decline in mentions.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Rose to the #1 rank, frequently cited for wait-time analysis. | 74% | |
| 2 | A consistent choice for SQL Server, particularly for its SQL Monitor tool. | 66% | |
| 3 | A top gainer, praised for full-stack observability and multi-database support. | 64% | |
| 4 | Saw a significant drop in mentions, falling from its top-tier position. | 45% | |
| 5 | Regularly mentioned for its built-in SSMS and Azure SQL monitoring tools. | 41% | |
| 6 | A rising open-source favorite, recommended for | 38% | |
| 7 | 31% | ||
| 8 | 28% | ||
| 9 | Emerged as a top contender, linking database queries to application performance. | 27% | |
| 10 | 27% | ||
| 11 | 26% | ||
| 12 | Frequently paired with | 24% | |
| 13 | 21% | ||
| 14 | 18% | ||
| 15 | 18% | ||
| 16 | 12% | ||
| 17 | 11% | ||
| 18 | 10% | ||
| 19 | 8% | ||
| 20 | 7% | ||
| 21 | 6% | ||
| 22 | 6% | ||
| 23 | 5% | ||
| 24 | 5% | ||
| 25 | 5% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
solarwinds.com is the page AI reaches for most here, cited in 48% of analyzed answers.
Climbed from rank #6 to #1 between October and March.
Slipped from #4 to #5 as observability platforms gained traction.
Leaped from #14 to #2 in market-wide mentions since October.
“A specific Database Monitoring product.” → “A unified observability platform for full-stack analytics.”
Fell sharply from rank #2 to #13 between October and March.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 77% | 78% | ||
| 77% | 66% | ||
| 74% | 34% | ||
| 56% | 44% | ||
| 7% | 39% |
The two models disagree most about DBA Dash (ChatGPT #21, Google #4) and IDERA SQL Diagnostic Manager (ChatGPT #25, Google #9).
Across 702 AI responses, SolarWinds is mentioned most, named in 74% of them, followed by Redgate (66%) and Datadog (64%).
Parse measures each brand's mention rate — the share of answers naming it — across 702 AI responses to this market's buyer questions over the last 30 days. Answers are collected daily and the ranking is re-measured on the same 30-day window.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
By December, SolarWinds and
Datadog became the dominant recommendations for their deep query analysis capabilities. Open-source tools like
Percona also gained significant traction over the window, especially in early 2026.
Redgate remains a consistently cited option for SQL Server-specific needs.
By December, SolarWinds and
Datadog became the dominant recommendations for their deep query analysis capabilities. Open-source tools like
Percona also gained significant traction over the window, especially in early 2026. remains a consistently cited option for SQL Server-specific needs.
SolarWinds, through its Database Performance Analyzer (DPA), has been a consistent top recommendation for this prompt. Over time, emerged as a strong co-leader, with AI assistants framing the choice as one between ' deep DBA focus and 's full-stack observability context. also gained prominence from January onwards.
Brands mentioned
Brands mentioned
I need a database monitoring tool that provides query-level performance insights.
SolarWinds, through its Database Performance Analyzer (DPA), has been a consistent top recommendation for this prompt. Over time,
Datadog emerged as a strong co-leader, with AI assistants framing the choice as one between
SolarWinds' deep DBA focus and
Datadog's full-stack observability context.
New Relic also gained prominence from January onwards.