Datadog Extends Monitoring for SQL Server and Azure Database Platforms


Datadog (NASDAQ: DDOG), a monitoring and security platform for cloud applications, has released expanded monitoring for Microsoft SQL Server and Microsoft Azure database platforms. The announcement builds on Datadog’s Database Monitoring product, which launched in August 2021.

With this increased capability, database administrators and engineers can more easily identify and resolve issues with database performance, such as sluggish and expensive queries, inaccurate indexes in SQL Server or Azure databases, and bottlenecks in their applications.

“We launched Database Monitoring last year because we wanted to help our customers reduce database costs, troubleshoot performance inefficiencies and increase collaboration between engineers and database administrators,” said Omri Sass, Group Product Manager of Application Performance Monitoring at Datadog. “By adding support for SQL Server and Azure database services, Microsoft users are better able to accomplish these goals and discover and implement the right database improvements while saving time communicating and reconciling information.”

Managed Database Services

“Microsoft Azure SQL Database and SQL Managed Instance are fully managed database services that feature built-in security controls, automated maintenance and are always up to date,” said Ramnik Gulati, Senior Director, Product Marketing, Data & AI at Microsoft. “The expanded support of Datadog’s Database Monitoring product further strengthens this collaboration by providing Microsoft customers with deep insights into their managed and self-hosted SQL Server, PostgreSQL and MySQL databases, enabling them to build and scale workloads with confidence.”

The following features are available with Datadog Database Monitoring for Microsoft SQL Server and Azure database platforms:

  • Valuable Query Metrics – Identify troublesome queries by looking at parameters like average latency, total execution time, and the amount of rows searched, and use historical query performance data to spot long-term trends.
  • Explain Plan Analysis – To pinpoint problem areas and seamlessly transition from explain plans to associated metrics, compare variations across various explain plans for a single query. This will help you see how inefficiencies affect performance.
  • Centralized Query, Database and Infrastructure Metrics – View and track host-level metrics along with query-level analytics to better comprehend how resource limitations impact database performance.

For Microsoft customers, using the SQL Server or Azure Database Platforms, Datadog’s database monitoring is now generally available.