Foglight for Databases
Database monitoring tools
Server monitoring software
Monitoring software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Foglight for Databases
Foglight for Databases is an infrastructure and database performance monitoring product focused on observing database health, workload, and query performance across supported database platforms. It is typically used by database administrators and operations teams to detect performance regressions, diagnose bottlenecks, and track capacity and availability trends. The product emphasizes deep database-level metrics and diagnostics and is commonly deployed alongside broader monitoring components in the same suite.
Deep database diagnostics
Foglight for Databases provides database-specific visibility such as wait states, sessions, locks, and resource consumption to support root-cause analysis. It helps teams move from high-level alerts to actionable database-level findings without relying only on host metrics. This depth is useful when troubleshooting performance issues that are not apparent from server monitoring alone.
Cross-platform DB coverage
The product supports monitoring across multiple database engines, enabling a consistent approach for heterogeneous environments. This can reduce the need for separate point tools per database type and standardize operational workflows. It is suited to organizations running mixed on-premises and virtualized database estates.
Alerting and trend reporting
Foglight includes threshold-based alerting and historical reporting to track performance and capacity over time. Trend views help identify recurring workload patterns and gradual degradation that may not trigger immediate incidents. These capabilities support operational reporting and planning in addition to real-time troubleshooting.
Suite complexity and overhead
Foglight deployments often involve multiple components (agents, management server, repositories), which can increase setup and operational overhead. Organizations may need dedicated administration to maintain collectors, upgrades, and data retention. This can be heavier than lightweight, single-binary monitoring approaches.
Licensing can be intricate
Licensing and packaging may vary by monitored targets, features, and modules, which can complicate forecasting and procurement. Teams may need to map database instances and environments carefully to avoid unexpected costs. This is a common friction point for enterprises standardizing monitoring across many systems.
UI and workflow learning curve
The product’s breadth of metrics and diagnostic views can require training for effective use. New users may need time to understand where to find specific database troubleshooting workflows and how to tune alerts to reduce noise. Organizations with limited DBA bandwidth may not fully utilize advanced features.
Plan & Pricing
Pricing model: Per-target subscription (billing per monitored target). Public pricing: Quest does not publish standard list prices for Foglight for Databases; pricing/quotes require contacting Quest Sales.
Promotional/example pricing (official, time-limited):
- Foglight Cloud — medium bundle promotional pricing: $77 USD per target / month for up to 30 targets (promotion page states expiration: December 31, 2024). Note: this was a promotional offer and the page lists that the special pricing expires Dec 31, 2024.
- Foglight Cloud — enterprise bundle: Quest references customized promotional pricing (per target/month) for more than 30 targets (promotion page lists expiration Dec 31, 2024).
Free tier / trial: Quest’s official site offers a 30-day free trial (no credit card required) for Foglight for Databases.
Discounts / volume: Quest’s official pages reference bundle/enterprise pricing (discounted per-target pricing for larger target counts) and instruct contacting sales for custom pricing.
Notes & official sources:
- Quest product pages and registration pages require contacting sales for pricing and provide trial registration. The official Foglight product pages describe a per-target pricing approach for database vs infrastructure targets and link to contact/register pages for pricing or trial downloads.
Seller details
Quest Software Inc.
Aliso Viejo, California, USA
1987
Subsidiary
https://www.quest.com/
https://x.com/Quest
https://www.linkedin.com/company/quest-software/
