The Best SQL Server Monitoring Tools: 10 Top Choices

The product has grown beyond SQL Server, with monitoring for PostgreSQL, Oracle, MySQL, and MongoDB as well, but its SQL Server background is still the reason many DBAs look at it first. It gives you an estate view for many servers and then lets you drill into the instance, database, query, or alert that needs attention.

For SQL Server teams, the practical value is that common DBA checks sit in one place. You can watch availability, disk use, backups, long-running queries, blocking, installed versions, and alert history without writing every check yourself. Query impact and deployment tracking also help when a slowdown follows a release.

Redgate is strongest when someone will actively tune the alerts and review the estate. During a trial, test failed backups, SQL Agent job failures, blocking chains, deadlocks, Query Store detail, file latency, tempdb pressure, retention, and alert routing. A monitoring tool only earns its keep when the right person gets enough detail to act.

The product is built around the parts of SQL Server that usually matter during an incident: Top SQL, waits, blocking, deadlocks, tempdb, query and index analysis, storage forecasting, and event timing. Historical views are important here because the interesting problem often disappeared ten minutes before the ticket arrived.

SQL Sentry also covers more deployment patterns than a simple on-prem monitor. SolarWinds materials reference Azure SQL, SQL Server on Amazon RDS and EC2, and SQL Server on Linux, so it can fit companies where SQL Server has spread across platforms.

The best trial for SQL Sentry is a real troubleshooting path. Recreate a safe blocking case, inspect a known slow query, and check whether the tool takes you to the query text, wait resource, host, login, blocker, and time window quickly. Pretty charts are nice. Fast answers are better.

That SQL Server-first approach matters in older estates. Many companies have a mix of physical servers, VMs, cloud-hosted SQL Server, and newer managed platforms. A general monitoring system can show host pressure, but a DBA still needs waits, locks, blocks, deadlocks, tempdb, file I/O, query health, and alert history in one place.

IDERA is useful when you want a monitoring product that speaks the language of SQL Server operations. Availability checks, diagnostic views, reports, and alerting can help separate a one-off spike from a recurring problem that needs a change window.

The trial should include a permission check and a noise check. A tool that can alert on everything can also bury people in email. Start with failed jobs, backup failures, blocking, long queries, deadlocks, storage pressure, and the alerts that actually need action.

Foglight is built around real-time and historical diagnostics, workload tuning, bottleneck review, and reporting. That makes it useful when a slowdown needs to be explained after the fact, or when a recurring issue crosses SQL Server, storage, workload timing, and application behavior.

The reporting side is part of the appeal. A DBA may need blocking chains and wait detail, while an IT manager may need a readable summary of the same problem. Foglight can support both audiences if the dashboards and reports are configured with care.

During evaluation, check how quickly the tool takes you from an alert to the SQL statement, wait, blocker, database, host, and time window. Also check whether reports explain the problem clearly or just package the same noise in a nicer layout.

The SQL Server integration collects instance metrics such as connections and compilations. Datadog Database Monitoring adds the more interesting database layer: query metrics, query samples, explain plans, wait events, database load, database states, failovers, and blocking insights.

That mix is useful in application-heavy environments. If a slow endpoint, release, host metric, log entry, and SQL wait spike all need to be seen together, Datadog can reduce the tool-switching that usually slows incident review.

The DBA checks still need deliberate setup. Backups, SQL Agent jobs, DBCC, restore tests, and local runbooks may need custom SQL checks or a separate DBA process. Datadog is strongest when SQL Server is part of a full-stack picture, not when the only requirement is old-fashioned database operations.

The Microsoft SQL integration collects database and instance metrics, plus inventory data. In a New Relic setup, those numbers can sit near transactions, hosts, services, and alerts, which helps application owners see whether a database symptom lined up with a code path or infrastructure event.

For small and mid-size SQL Server setups, New Relic can be enough when it is paired with a few DBA-specific checks. It becomes less compelling when nobody already uses New Relic and the real need is backup age, SQL Agent job failures, blocking, deadlocks, and restore-test discipline.

The trial should prove that the default integration gives enough SQL detail for the people who investigate incidents. If it falls short, check custom queries or New Relic's OpenTelemetry-based Microsoft SQL Server monitoring path, but treat that path as preview until New Relic documents it as generally available.

Microsoft describes database watcher as a managed monitoring solution for the Azure SQL family. It collects workload monitoring data into a central data store in your Azure subscription and gives you Azure portal dashboards for performance, configuration, and health.

The platform boundary is important. Database watcher supports Azure SQL Database and Azure SQL Managed Instance. SQL Server running on an Azure VM follows a different monitoring path, so this is not a drop-in answer for every server that happens to live in Azure.

For Azure-first companies, the appeal is simple: dashboards, alert templates, permissions, private connectivity, data storage, and query/export options can stay inside the Azure operating model. The tool still needs DBA interpretation, alert ownership, and response rules. Because Microsoft still documents database watcher as preview, it should be tested carefully before it becomes the only monitoring path for a production Azure SQL estate.

The Microsoft SQL v2 sensor runs a query against a SQL Server database and turns returned values into sensor channels. That makes PRTG useful for checks such as backup age, failed jobs, long-running jobs, database space, log usage, or a custom threshold that matters to the business.

PRTG also sees the infrastructure around SQL Server: Windows, services, disk, CPU, memory, network devices, and other systems. For many IT departments, that is the point. SQL Server can sit in the same alert tree as the rest of the environment.

The quality of a PRTG SQL setup depends on the checks you write. A red sensor should tell the operator what failed and where to look next. A vague SQL sensor only creates another ticket with no useful starting point.

Its SQL Server monitoring covers many of the checks a small or mid-size IT department expects: availability, query statistics, CPU, memory, disk I/O, sessions, slow queries, deadlocks, backup jobs, trend reports, and capacity planning.

The product is more general than the dedicated DBA tools in this list. That can be a strength when SQL Server is one of many systems under one IT group. It can also be a weakness when the main problem is detailed query tuning or deep SQL Server diagnosis.

During a trial, check whether the SQL alert has enough detail to act on. The alert should name the instance, database, symptom, timing, and likely next check. If it only says SQL Server is unhealthy, it has not done enough.

The official MSSQL integration is built around Zabbix agent 2, the MSSQL plugin, and versioned templates. That gives you a starting point for SQL Server monitoring without building every item from scratch, while still keeping the setup inside the Zabbix model.

Zabbix is good at explicit monitoring. You define what matters, tune the trigger, route the alert, and build the dashboard. That control is useful for cost-sensitive environments and IT departments that already know how to run Zabbix well.

The real cost is ownership. Zabbix has no software license fee, but it will not turn itself into a packaged SQL Server DBA workflow. Query Store analysis, deadlock reading, wait interpretation, backup validation, and restore testing still need DBA work or custom templates.