Netdata vs Sumo Logic Observability comparison

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Executive Summary

We performed a comparison between Netdata and Sumo Logic Observability based on real PeerSpot user reviews.

Find out what your peers are saying about Datadog, Zabbix, New Relic and others in Cloud Monitoring Software.
To learn more, read our detailed Cloud Monitoring Software Report (Updated: February 2024).
757,260 professionals have used our research since 2012.
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  • "I started on the free tier to try it out, but because of our usage, we're now paying for it."
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    Top Answer:Alerting and consistency are key. We have different tiers with log collectors, and continuous querying provides near-real-time updates. It's almost like instantly when something happens, like pending… more »
    Top Answer:Documentation could be better. While it's generally good, sometimes finding what you need requires extensive searching. It's not always clear where to look for specific things. Sometimes, the… more »
    Top Answer:We use Sumo Logic to collect all our logs in one central location. This makes it easier for developers to search for errors in our systems. We also use it to create dashboards for stakeholders. We… more »
    Ranking
    38th
    Views
    481
    Comparisons
    443
    Reviews
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    Average Words per Review
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    N/A
    31st
    Views
    230
    Comparisons
    180
    Reviews
    3
    Average Words per Review
    696
    Rating
    8.0
    Comparisons
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    Interactive Demo
    Overview

    Monitor your servers, containers, and applications, in high-resolution and in real-time.

    Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications.

    It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years.

    KEY FEATURES:

    • 💥 Collects metrics from 800+ integrations
      Operating system metrics, container metrics, virtual machines, hardware sensors, applications metrics, OpenMetrics exporters, StatsD, and logs.

    • 💪 Real-Time, Low-Latency, High-Resolution
      All metrics are collected per second and are on the dashboard immediately after data collection. Netdata is designed to be fast.

    • 😶‍🌫️ Unsupervised Anomaly Detection
      Trains multiple Machine-Learning (ML) models for each metric collected and detects anomalies based on the past behavior of each metric individually.

    • 🔥 Powerful Visualization
      Clear and precise visualization that allows you to quickly understand any dataset, but also to filter, slice and dice the data directly on the dashboard, without the need to learn any query language.

    • 🔔 Out of box Alerts
      Comes with hundreds of alerts out of the box to detect common issues and pitfalls, revealing issues that can easily go unnoticed. It supports several notification methods to let you know when your attention is needed.

    • 📖 systemd Journal Logs Explorer (beta, in the nightly release channel)
      Provides a systemd journal logs explorer, to view, filter and analyze system and applications logs by directly accessing systemd journal files on individual hosts and infrastructure-wide logs centralization servers.

    • 😎 Low Maintenance
      Fully automated in every aspect: automated dashboards, out-of-the-box alerts, auto-detection and auto-discovery of metrics, zero-touch machine-learning, easy scalability and high availability, and CI/CD friendly.

    • Open and Extensible
      Netdata is a modular platform that can be extended in all possible ways and it also integrates nicely with other monitoring solutions.


    Sumo Logic empowers the people who power modern, digital business. Our cloud-native SaaS analytics platform powered by logs helps customers deliver reliable and secure cloud-native applications. With Sumo Logic, practitioners and developers can ensure application reliability, secure and protect against modern threats and gain insights into their cloud infrastructures. Customers worldwide rely on our scalable platform to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit: SUMOLOGIC.COM

    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company36%
    Comms Service Provider14%
    Government11%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company16%
    Manufacturing Company11%
    Media Company9%
    Company Size
    VISITORS READING REVIEWS
    Small Business45%
    Midsize Enterprise24%
    Large Enterprise31%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    Buyer's Guide
    Cloud Monitoring Software
    February 2024
    Find out what your peers are saying about Datadog, Zabbix, New Relic and others in Cloud Monitoring Software. Updated: February 2024.
    757,260 professionals have used our research since 2012.

    Netdata is ranked 38th in Cloud Monitoring Software while Sumo Logic Observability is ranked 31st in Cloud Monitoring Software with 3 reviews. Netdata is rated 0.0, while Sumo Logic Observability is rated 8.0. On the other hand, the top reviewer of Sumo Logic Observability writes "Easy creation of custom fields, no need to alter applications; supports ten active logging applications simultaneously and faster than aster than default search tools". Netdata is most compared with Zabbix, Checkmk, New Relic, InfluxDB and Nagios Core, whereas Sumo Logic Observability is most compared with New Relic, Dynatrace, Prometheus, Instana Dynamic APM and Chronosphere.

    See our list of best Cloud Monitoring Software vendors.

    We monitor all Cloud Monitoring Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.