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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis
Datadog named Leader in 2022 Gartner® Magic Quadrant™ for...
Amit Agarwal · 2022-06-10 · via Datadog | The Monitor blog
Amit Agarwal

Gartner® has published the 2022 Magic Quadrant™ for APM and Observability, an annual report that evaluates vendors in this category. We’re honored that Datadog has been recognized as a “Leader” within this Magic Quadrant report for the second consecutive year, with the highest position for Ability to Execute.

Customer feedback plays an important part in all analyst reports, and we believe this recognition is a testament to how important our customers are in shaping our products and services to solve the most complex challenges in their cloud and hybrid environments.

As the vendor with the highest position for Ability to Execute, Datadog’s unified approach to APM and observability breaks down organizational silos and creates a fully integrated experience that meets customer needs and solves existing challenges. Whether it’s IT operations, security, or development teams, users also identify products like Watchdog—Datadog’s AI engine that simplifies monitoring cloud-native architectures—and Real User Monitoring (RUM) as key differentiators. From accelerating root cause analysis to identifying end-user pain points, Datadog supports customers’ day-to-day workflows across every layer of their stack.

We feel that Datadog’s recognition in this category wouldn’t be possible without the engagement and feedback from our customers across the world. We are grateful to the users who continue to share their experiences and help us improve our platform and advance our mission.

Additionally, if you’d like to share your experience as a Datadog customer, you can upload your review here.

Gartner disclaimer: Gartner, Magic Quadrant for Application Performance Monitoring and Observability, Padraig Byrne, Gregg Siegfried, Mrudula Bangera, 7th June 2022

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Datadog.