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Datadog Extends Monitoring for Microsoft SQL Server and Microsoft Azure Database Platforms

Datadog announced expanded monitoring for Microsoft SQL Server and Microsoft Azure database platforms.

The announcement builds on Datadog’s Database Monitoring product, which launched in August of last year.

With this expanded support, engineers and database administrators can quickly pinpoint and address database performance issues such as costly and slow queries, incorrect 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.”

“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.”

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

- Valuable Query Metrics: View metrics such as average latency, total execution time and number of rows queried in order to identify problematic queries and use historical query performance data to track long-term trends.

- Explain Plan Analysis: Visualize differences between multiple explain plans for individual queries to identify hotspots and seamlessly pivot from explain plans to related metrics in order to understand how inefficiencies impact performance.

- Centralized 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 now generally available for Microsoft customers using SQL Server or Azure Database Platforms.

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Datadog Extends Monitoring for Microsoft SQL Server and Microsoft Azure Database Platforms

Datadog announced expanded monitoring for Microsoft SQL Server and Microsoft Azure database platforms.

The announcement builds on Datadog’s Database Monitoring product, which launched in August of last year.

With this expanded support, engineers and database administrators can quickly pinpoint and address database performance issues such as costly and slow queries, incorrect 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.”

“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.”

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

- Valuable Query Metrics: View metrics such as average latency, total execution time and number of rows queried in order to identify problematic queries and use historical query performance data to track long-term trends.

- Explain Plan Analysis: Visualize differences between multiple explain plans for individual queries to identify hotspots and seamlessly pivot from explain plans to related metrics in order to understand how inefficiencies impact performance.

- Centralized 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 now generally available for Microsoft customers using SQL Server or Azure Database Platforms.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

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