- 15 min read
6 Best SQL Server Monitoring Tools in 2026
A green CPU graph is a pretty poor alibi for a slow SQL Server. Queries can pile up behind locks or spend their time waiting while the host looks perfectly respectable. A DBA needs the blocking chain, execution plan, and wait information. An application engineer needs to know which request was affected. Those aren't quite the same investigation.
For SQL Server estate monitoring, Redgate Monitor is the strongest starting point. SQL Sentry goes deeper into specialist Microsoft database troubleshooting, while SolarWinds Database Performance Analyzer (DPA) concentrates on wait analysis across multiple database engines. Dash0 takes a different approach: it connects SQL Server telemetry with application behavior through OpenTelemetry. Datadog Database Monitoring is a natural option for teams already using Datadog, and DBA Dash offers substantial SQL Server diagnostics without a commercial license.
The right choice depends on which evidence you need during an incident, where SQL Server runs, and what the monitoring system will cost to operate.
Quick picks
| Tool | Best fit |
|---|---|
| Redgate Monitor | DBA teams managing health and performance across a SQL Server estate |
| SolarWinds SQL Sentry | Specialists troubleshooting Microsoft database workloads |
| SolarWinds Database Performance Analyzer | Teams using wait analysis across multiple database engines |
| Dash0 | Platform teams connecting SQL Server telemetry with OpenTelemetry application data |
| Datadog Database Monitoring | Organizations bringing database investigations into an existing Datadog workflow |
| DBA Dash | SQL Server teams willing to operate an open-source monitoring service |
What to look for in SQL Server monitoring tools
A dashboard that tells you the database was busy isn't much use if the query, plan, and waits have disappeared by the time you investigate. Test the tools with the problems your team actually gets called to solve.
- Diagnostic evidence. Reproduce a slow query, a blocking chain, and a workload regression. Check whether you can inspect the query, plan, and relevant waits after the incident ends.
- Deployment coverage. Verify SQL Server on VMs, Azure SQL Database, Managed Instance, and Amazon RDS separately where relevant. Support for one environment doesn't establish identical diagnostics in another.
- Database operations. Check backup status, job failures, availability groups, and configuration changes if the same tool is supposed to handle estate health.
- Collection overhead and access. Review permissions, network requirements, intervals, and query-text capture. Test the overhead on your workload.
- Application correlation. Trace a slow application request through its database activity. Matching timestamps is a start; request-level correlation requires the right instrumentation, usually distributed tracing on the application side.
- Billing units. Count replicas, instances, managed databases, and telemetry volume. A server, database host, monitored target, and telemetry record are not interchangeable units.
1. Redgate Monitor
Best for: DBA teams managing health and performance across a SQL Server estate.
Redgate Monitor is the first tool to evaluate when the job includes both keeping a SQL Server estate healthy and investigating performance problems. Its web interface covers instances, availability groups, clusters, and VMs, with query analysis and alerting alongside the estate overview. It comes in self-hosted and SaaS editions. The self-hosted collector monitors remote systems without installing an agent on every machine.
The appeal is the investigation workflow. A DBA can start with a problem affecting the estate and drill into the database evidence without assembling that workflow from several unrelated tools. If the real problem starts with an application trace, however, a database-focused view won't supply the entire story.
Redgate generally licenses per server, but its rules distinguish VMs, cluster nodes, PaaS instances, and Azure SQL Database bundles. Those distinctions matter in high-availability deployments, where the list of monitored targets is seldom as simple as the application architecture diagram suggests. Standard and Enterprise editions and a free trial are available; advanced requirements can affect the required edition.
Worth exploring if: You want estate health, alerting, and SQL Server diagnostics in one DBA-focused workflow.
Give it a pass if: Your primary requirement is tracing an application request into its database activity.
Sources: Redgate Monitor, monitoring architecture.
2. SolarWinds SQL Sentry
Best for: Specialists troubleshooting Microsoft SQL Server workloads.
SQL Sentry is built for the investigation that starts inside SQL Server. Its Top SQL functionality captures high-impact active and completed queries. Deadlock diagnostics, configurable alerts, and a browser portal give specialists more to work with than a CPU chart and a timestamp. Coverage also extends to SQL Server Analysis Services.
Bring a real blocking or query-performance incident to the trial. If the tool can't reconstruct what happened, the polished overview won't be much consolation. SQL Sentry also has environment-specific limits: its Portal does not support Amazon RDS deadlocks.
The tradeoff is the monitoring infrastructure and database-specific workflow your team needs to operate. Licensing follows monitored targets, with subscriptions available for self-hosted and supported database-as-a-service environments. A free trial is available.
Worth exploring if: Deep query, execution-plan, and deadlock analysis matters more than multi-engine coverage.
Give it a pass if: You need one monitoring workflow across several different database engines.
Sources: SQL Sentry, SQL Sentry license management, Portal deadlock support.
3. SolarWinds Database Performance Analyzer
Best for: Teams using wait analysis across SQL Server and other database engines.
DPA begins with a useful question: where did the database spend its time? Its wait-based analysis works across SQL Server, Oracle, PostgreSQL, and MySQL, so it suits teams diagnosing performance across more than one engine. Query and table tuning advice adds detail once a wait has pointed to the problem.
An agentless collector removes one component from the monitored hosts. It doesn't remove the monitoring system itself. DPA still needs a deployment that somebody maintains and protects. For Microsoft-only estates, testing DPA and SQL Sentry against the same incidents is more revealing than comparing their dashboard screenshots.
Licensing generally depends on monitored instances, with separate categories for supported DBaaS targets. Subscription and deployment-specific purchase options are available, along with a fully functional trial.
Worth exploring if: Wait-based investigation across a mixed database estate is your priority.
Give it a pass if: Your Microsoft-only estate needs deeper SQL Server operational coverage than cross-engine analysis.
Sources: DPA documentation, product and trial, license types.
4. Dash0
Best for: Platform teams connecting SQL Server telemetry with OpenTelemetry application data.
A SQL Server monitoring tool can explain why a query was slow without telling you which application request suffered because of it. Dash0 approaches the problem from the application side, connecting traces with database telemetry through OpenTelemetry.
SQL Server telemetry can be collected through the upstream OpenTelemetry Collector's SQL Server receiver and exported over OTLP alongside separately instrumented application traces. The receiver collects through Windows performance counters or direct database queries. Its documentation currently marks metrics as beta and logs as development, and describes query-related events. Those details matter: the receiver can collect the signals, but it doesn't turn them into a ready-made SQL Server tuning console.
For teams already using OpenTelemetry, this makes Dash0 a candidate for correlating database behavior with services and requests. Dedicated tools still make more sense for prepared execution-plan and blocking-chain workflows. Portable instrumentation reduces collection lock-in, but dashboards and alerting workflows still require work when moving platforms.
Dash0 charges for telemetry, including spans, log records, and metric data points, with separate ingestion and indexing charges. Even data filtered by SignalControl incurs ingestion charges. Collection frequency and telemetry volume therefore determine the cost, rather than the number of SQL Server instances. Explore Dash0 pricing or test the workflow with a free trial.
Worth exploring if: You need to follow application requests into downstream database activity while keeping instrumentation portable.
Give it a pass if: A ready-made execution-plan, blocking-chain, and DBA estate-management console is the primary requirement.
Technical references: OpenTelemetry SQL Server receiver, OTLP export configuration, OTLP HTTP exporter guide.
5. Datadog Database Monitoring
Best for: Organizations bringing database investigations into an existing Datadog workflow.
Datadog's basic SQL Server integration and Database Monitoring (DBM) are not the same thing. DBM adds query metrics, snapshots, wait analysis, explain plans, and blocking insights. Evaluating the basic integration alone tells you very little about the deeper database investigation workflow.
For an organization already using Datadog, the connection to application tracing is the reason to look closely. Datadog documents navigation between APM traces and query samples when the required correlation is configured. That can help database and application engineers investigate the same problem without switching monitoring platforms.
DBM requires an Infrastructure Monitoring subscription and is billed per database host. In Datadog's billing definition, that means a database instance; individual Azure SQL Databases count separately. The DBM rate is therefore only part of the cost if other Datadog products are required. Public pricing and a free trial are available. Test the query coverage and how long the evidence remains accessible.
Worth exploring if: Your services already use Datadog APM and you want linked trace and query investigations.
Give it a pass if: You do not already need Datadog Infrastructure Monitoring or want fewer product-specific dependencies.
Sources: SQL Server integration, DBM investigation workflow, pricing and billing definitions.
6. DBA Dash
Best for: SQL Server teams willing to operate an open-source monitoring service.
DBA Dash has a rather appealing license price: zero. Unlike plenty of free dashboards, though, it does real SQL Server work. The MIT-licensed tool covers performance, health checks, configuration changes, blocking, deadlocks, slow queries, backups, and job checks. It also supports configurable alerts.
The bill moves from software licensing to operations. DBA Dash runs as a Windows service with a repository database, and its documentation recommends keeping that repository off critical production SQL Server instances. Somebody still has to look after deployments, upgrades, repository capacity, and alerts. Open source doesn't volunteer for the on-call rotation.
For a team with SQL Server expertise and the capacity to run the service, that's a reasonable exchange. There is no per-instance software fee or trial deadline. Teams that need a vendor-operated monitoring service should look elsewhere.
Worth exploring if: Avoiding software license fees is worth owning deployment, upgrades, storage, and alert operations.
Give it a pass if: You need a vendor-operated service with commercial support and managed infrastructure.
Sources: DBA Dash, setup requirements, deployment guidance, alerts.
Comparison table
| Tool | Investigation focus | Main tradeoff | Cost driver |
|---|---|---|---|
| Redgate Monitor | Estate health and database performance | Database-focused workflow | Licensed servers and deployment-specific rules |
| SQL Sentry | Microsoft database diagnostics | Monitoring infrastructure to operate | Monitored targets and license type |
| DPA | Wait-based analysis across engines | Monitoring deployment to maintain | Instances and DBaaS license categories |
| Dash0 | OpenTelemetry application and database context | SQL-specific workflow needs validation | Telemetry ingestion and indexing |
| Datadog DBM | Database and application investigation | Required infrastructure subscription | Database hosts plus other subscribed products |
| DBA Dash | SQL Server health and diagnostics | Internal operational ownership | Hosting, repository, and engineering time |
Final thoughts
A monitoring tool should be able to explain the incident you actually had, not merely present an impressive collection of green charts. When the problem is a blocking chain or a bad execution plan, a dedicated SQL Server monitor earns its keep. When the problem starts with a slow application request, the ability to follow that request into the database matters more.
There is no requirement to force both jobs into one product. A specialist SQL Server monitor and an OpenTelemetry-native observability platform can complement each other. What matters is being able to follow the evidence across the boundary.
Before committing, reproduce a representative incident, check the evidence retained afterward, and measure collection overhead and the billable units in your actual deployment. If correlating SQL Server telemetry with application traces is the priority, try Dash0 free for 14 days with a real SQL Server-backed service. No credit card required.
