Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
343 updates · 30dTop focus: Product★ 4.4 G2
Grafana Labs
Grafana Labs helps users get the most out of Grafana, enabling them to take control of their unified monitoring and avoid vendor lock in and the spiraling costs of closed solutions.
666 updates · 30dTop focus: Support★ 4.5 G2
How do they compare?·AI summary
How do they compare?
Datadog positions itself as a comprehensive monitoring platform designed to help IT, development, and operations teams derive actionable insights from large-scale application data, emphasizing integration and built-in analytics. Grafana Labs focuses on empowering users with open-source tools to create unified monitoring experiences, prioritizing flexibility, vendor independence, and cost control. While Datadog offers a closed, all-in-one solution with proprietary data collection and analysis, Grafana emphasizes open-source customization and interoperability with external data sources, appealing to users seeking avoid vendor lock-in and tailored monitoring setups.
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TL;DR
Datadog has shipped 343 updates in the last 30 days, focused on product. Datadog has been quieter than Grafana Labs, which shipped 666. Both rank ★ 4.4+ on G2.
Activity Over Time
Weekly updates per vendor, last 12 weeks.
Where They're Investing
Page-type activity over the last 30 days. Brighter cells = more updates.
Datadog
Grafana Labs
Support
Product
Event
Other
Blog
Changelog
Case Study
Last 14 days·AI summary
Recent activity summary for Datadog and Grafana Labs
Grafana Labs introduced AI Observability features, enhanced database tools with AI insights, launched Pyroscope 2.0, and expanded Grafana Assistant access, alongside new CLI tools and partnerships. Datadog achieved FedRAMP High certification for government workloads, released Archive Search and in-process security monitoring, and promoted MTTR reduction campaigns, while hosting events and sharing case studies on observability use. Both companies emphasized AI integration and product updates, with Grafana Labs focusing on open-source tools and AI benchmarks, and Datadog prioritizing security compliance and operational efficiency improvements.
Datadog is promoting its services to American Airlines through a LinkedIn advertising campaign, highlighting an 80% reduction in MTTR. The campaign targets North America and excludes APJ.
The advertiser is promoting Datadog's services through a LinkedIn campaign highlighting an 80% reduction in MTTR for customers. The campaign targeted North America and excluded the Asia-Pacific region, focusing on the product's value propos
The advertiser is promoting Datadog's services, highlighting a 1-hour to 1-minute reduction in MTTI for failed card transactions. The campaign targeted North America and ran on May 9, 2026.
The advertiser is promoting Datadog's services, highlighting an 80% reduction in MTTR for customers. The campaign ran from May 8, 2026, to May 11, 2026, targeting North America.
Datadog is promoting its services through a LinkedIn advertising campaign highlighting an 80% reduction in MTTR for customers, targeting North America.
Grafana Labs shared a Mother's Day post celebrating mothers as the original incident responders with intuitive observability systems, highlighting their ability to detect anomalies and correlate signals across different areas.
Grafana Labs is hosting an AMA session on May 12 where their AI team will answer questions about AI topics including Grafana Assistant, AI Observability, and the company's AI engineering philosophy.
Grafana Cloud provides documentation for the Adaptive Logs HTTP API, detailing how to manage log ingestion through API endpoints, including exemptions, drop rules, and segment management.
Grafana Labs provides documentation on managing Adaptive Logs as code, emphasizing API integration and infrastructure-as-code workflows. The page includes webinar registration links and directs users to documentation indexes.
Grafana Labs introduces an AI-powered query troubleshooting feature in Database Observability, enabling automated diagnosis of slow queries with specific fix recommendations based on live Prometheus and Loki data.