Head-to-head · Database Performance Monitoring Software
Quest Foglight for Databases vs Splunk Database Monitoring
Quest Foglight for Databases leads on 0 checks, Splunk Database Monitoring on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreQuest Foglight for Databases · 9.2/10
- Free trialboth
Quest Foglight for Databases scores higher on our rubric for database performance monitoring software: 9.2 against 8.8 out of 10; our editors rank them #2 and #5.
Quest Foglight for Databases is the better fit for large, heterogeneous database environments. Splunk Database Monitoring is the better fit for splunk-centric database operations teams.
- Quest Foglight for Databases fits best
Large, heterogeneous database environments
- Splunk Database Monitoring fits best
Splunk-centric database operations teams
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Side by side
| Feature | Quest Foglight for Databases 9.2/10 Visit ↗ | Splunk Database Monitoring 8.8/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.8 |
| Ranking | #2 in Database Performance Monitoring Software | #5 in Database Performance Monitoring Software |
| Best for | Large, heterogeneous database environments | Splunk-centric database operations teams |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request · 30-day trial | Pricing on request · 14-day trial |
| Free plan | — | — |
| Free trial | 30 days | 14 days |
| Free trial length | 30 days | 14 days · no card needed |
| Deployment | Cloud, Self-hosted | Cloud |
| Platforms | Web | Web |
| Support | Docs | Tickets, Phone, Community, Docs |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features Quest Foglight for Databases 1/4 · Splunk Database Monitoring 1/4 | ||
| Query analysis | Not checked yet | Not checked yet |
| Wait and lock analysis | ✓ | ✓ |
| Resource metrics | Not checked yet | Not checked yet |
| Query plan capture | Not checked yet | Not checked yet |
| Specs | ||
| Supported databases | Not checked yet | Not checked yet |
| History retention | Not checked yet | Not checked yet |
| Deployment model | Not checked yet | Not checked yet |
| Our review | ||
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| Cons |
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| Our verdict | Quest Foglight for Databases is a database performance monitoring platform for DBAs and operations teams responsible for multiple database environments. It provides a single web console for on-premises and cloud databases, with centralized… Read the review → |
Splunk Database Monitoring is a cloud service for DevOps, ITOps, and SRE teams that need database performance visibility within Splunk Observability Cloud. It focuses on Microsoft SQL Server, MySQL, Oracle Database, and PostgreSQL, with… Read the review → |
Strengths and trade-offs
Quest Foglight for Databases — where it wins
- Centralizes monitoring across 15 database platforms
- Combines workload analytics, query insights, and wait analysis
- Tracks environmental and SQL changes with adaptive baselines
Where it doesn't
- Pricing requires contacting Quest sales
- No free plan is available
- Broad coverage may exceed single-platform team needs
Splunk Database Monitoring — where it wins
- Correlates database performance with application traces and infrastructure metrics
- Analyzes execution plans, wait states, blocking sessions, and lock contention
- Adds generative AI recommendations for complex SQL queries
Where it doesn't
- No free plan is available
- Supports four database systems
- The documented retention period is 15 days for normalized queries and samples
- Quest Foglight for Databases9.2/10 · Pricing on request · 30-day trial
A strong fit for teams managing diverse databases, with contact-sales pricing.
Visit QuestFull verdict → - Splunk Database Monitoring8.8/10 · Pricing on request · 14-day trial
A focused choice for Splunk teams needing query, wait-state, and correlation analysis.
Visit SplunkFull verdict →
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All database performance monitoring software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






