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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 2023 Gartner® Magic Quadrant™ for...
Amit Agarwal · 2023-07-10 · via Datadog | The Monitor blog
Amit Agarwal

We are thrilled to announce that, for the third consecutive year, Datadog has been named a Leader in the 2023 Gartner® Magic Quadrant™ for APM and Observability. We believe that this placement reflects Datadog’s continued commitment to understanding our customers’ most complex challenges and building products and services that give them the visibility they need into their applications.

Datadog’s observability and security platform breaks down organizational silos and provides all teams—including IT operations, development, security, and FinOps—a unified view into the health and performance of every part of their technology stack. Products such as APM, Universal Service Monitoring, and Service Catalog simplify microservice monitoring and governance. Watchdog—Datadog’s AI engine—and Workflow Automation speed up root cause analysis and remediation, enabling customers to focus on innovation.

We believe that customer feedback is a core aspect of analyst reports. We feel that our recognition in this category showcases how Datadog supports our customers in their day-to-day lives. We are grateful to the users who continue to share their experiences and help us improve our platform and advance our mission.

If you are a Datadog customer and would like to share your experience, you can share your review here.

Note: The report reprint has expired. The original version of this Gartner MQ can be found here.

Gartner disclaimer: GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the US and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates.

Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.