Datadog extends support for Microsoft SQL Server and Azure database services

Datadog has extended monitoring for Microsoft SQL Server and Microsoft Azure database platforms that leverages Datadog’s database monitoring product.

With this extensive support, database engineers and administrators can identify and resolve database performance issues such as expensive and slow queries, bad 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, resolve performance issues, and increase collaboration between engineers and database administrators,” said said Omri Sass, product manager of the Application Performance Monitoring group at Datadog.

“By adding support for SQL Server and Azure database services, Microsoft users are better able to achieve these goals and discover and implement the right database enhancements while gaining time communicating and reconciling information,” Sass continued.

“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 and AI at Microsoft.

“Expanded support for 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 create and scale workloads with confidence,” Gulati said.

Datadog Database Monitoring for Microsoft SQL Server and Azure database platforms includes the following features:

  • Query metrics: View metrics such as average latency, total execution time, and number of rows queried to identify problematic queries and use historical query performance data to track long-term trends.
  • Explain plan analysis: Visualize the differences between multiple execution plans for individual queries to identify hot spots and drill down from execution plans to related metrics to understand the impact of inefficiencies on performance.
  • Query, database, and infrastructure metrics: View and monitor query-level and host-level metrics together to better understand how resource constraints affect database performance.

Database Monitoring is available for Microsoft customers using SQL Server or Azure Database Platforms.

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