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Datadog
vs
New Relic
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Tracking Datadog vs New Relic

216 updates from Datadog and New Relic in the last 30 days. We read them all so you don't have to.

★★★★★4.4+ on G2✓ GDPR Compliant

Datadog

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.

62 updates · 30dTop focus: Product★ 4.4 G2

New Relic

New Relic is the industry's largest and most comprehensive cloud-based instrumentation platform to help customers create more perfect software.

154 updates · 30dTop focus: Blog★ 4.4 G2

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150,000+ companies tracked · 137M URLs counted · Tracking since 2025 · GDPR compliant · EU infrastructure

TL;DR

Datadog has shipped 62 updates in the last 30 days, focused on product. Datadog has been quieter than New Relic, which shipped 154. 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
New Relic
Blog
Product
Other
Support
Event
Case Study
Pricing
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Last 14 days·AI summary

Recent activity summary for Datadog and New Relic

Datadog demonstrated significant product momentum this period, focusing heavily on AI-driven operations and expanded RUM capabilities, including RUM Profiling and autonomous testing via Bits Testing. Their activity also highlighted several case studies and leadership in AIOps research. In contrast, New Relic’s recent updates centered on developer workflow integration, specifically launching new observability integrations for GitHub Copilot and announcing general availability for OCI monitoring. While Datadog emphasized autonomous troubleshooting and security guardrails for AI agents, New Relic focused on connecting real-time telemetry directly into AI-assisted coding environments and clarifying their usage-based pricing models.

Recent Activity

Last updates we detected for each vendor.

Datadog

5 updates
  • Product
    LinkedIn Post

    Datadog showcases Bits Testing, an autonomous tool that discovers broken paths in critical user flows and generates tests without manual scripting.

  • Product
    LinkedIn Post

    Datadog promotes its Journey Monitoring feature, which provides a unified view of traffic, conversion, and availability for critical user journeys by combining RUM, Synthetics, and Product Analytics data.

  • Event
    LinkedIn Post

    Datadog is attending the AfroTech expo, sharing a success story of a software engineer who grew from an interviewee to an employee. The company is inviting attendees to visit booth #902 to connect.

  • Event
    LinkedIn Post

    Datadog shared a case study highlighting how SAS achieved a 4x reduction in CPU usage and 75% lower compute costs in Azure using Datadog's unified observability platform. The company is also inviting attendees to visit their booth at Micros

  • Event
    LinkedIn Post

    Datadog is promoting its presence at AfroTech, where recruiters will share advice on what makes a standout application, such as shipping code to production and working on high-impact projects.

New Relic

5 updates
  • Blog
    VMware vSphere Kubernetes Service Monitoring

    New Relic has validated its Kubernetes monitoring on VMware vSphere Kubernetes Service (VKS) 3.6. This integration enables unified observability across application performance and underlying Kubernetes infrastructure.

  • Other
    LinkedIn Post

    New Relic shared insights from Anthropic's Kevin Bai regarding the rapid evolution and historical rise of Generative AI technology.

  • Blog
    Log Management vs SIEM: Understanding the Key Differences and Use Cases

    New Relic compares log management and SIEM to help organizations understand their distinct roles in operational visibility versus security monitoring. The guide highlights how log management aids troubleshooting while SIEM focuses on threat

  • Blog
    DevOps Log Management: A Comprehensive Evaluation Guide

    New Relic explains the importance of DevOps log management in distributed architectures like Kubernetes. The guide details how correlating logs with metrics and traces accelerates troubleshooting and reduces MTTR.

  • Other
    LinkedIn Post

    New Relic shared a podcast episode from The o11y Cafe discussing the role of observability in managing autonomous AI agents. The episode explores the limitations of traditional metrics and the necessity of live telemetry for monitoring AI i

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What Datadog, New Relic and the rest of the Observability market shipped and changed, summarised weekly.

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