Best Log Analysis Software for Azure Virtual Machines

Find and compare the best Log Analysis software for Azure Virtual Machines in 2026

Use the comparison tool below to compare the top Log Analysis software for Azure Virtual Machines on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    New Relic Reviews
    Top Pick
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    New Relic offers a sophisticated platform specifically designed for analyzing logs, equipping businesses with immediate and relevant insights derived from their applications and infrastructure. By consolidating logs from your entire system in real-time, it delivers comprehensive visibility, allowing executives and senior management to make informed decisions more swiftly. Featuring advanced search functions, personalized dashboards, and AI-driven features, users can easily spot trends, troubleshoot problems, and enhance performance across essential systems. Streamline log management, improve operational effectiveness, and achieve a competitive advantage through actionable insights with New Relic Log Analysis.
  • 2
    Edge Delta Reviews

    Edge Delta

    Edge Delta

    $0.20 per GB
    Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.
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