NETDATA

VS

DATADOG

Explore the key differences between Netdata and Datadog to determine the best monitoring solution for your needs, whether you're seeking real-time insights or comprehensive data analysis.
NETDATA
VS
DATADOG

Key Highlights

  • Real-time performance monitoring
  • Lightweight and fast
  • Out of the box dashboards, alerts & ML
  • Decentralized architecture, data always on prem
  • 800+ integrations, unlimited metrics
  • Comprehensive cloud monitoring
  • APM, robust log management and tracing
  • High configurability and integration
  • Steep learning curve for beginners
  • Premium pricing model, bill shock

Feature comparison

 
Data Collection Collects data with 1-second granularity, offering immediate and precise visibility into performance. Typically collects data at 10-second granularity, offering less granularity for short-lived issues.
Integrations 800+ integrations enable you to monitor practically everything 200+ (mostly apps and cloud services). Custom integrations are possible but may require more effort and specialized knowledge to implement effectively.
Architecture Decentralized architecture enables exceptional vertical and horizontal scalability while handling high data volume and velocity. Minimal traffic egress costs. Primarily centralized, which means all data is sent to a central location for analysis. Leads to high egress costs.
Machine Learning Unsupervised ML and anomaly detection for every single metric. By default. Utilizes machine learning but often requires additional setup and configuration.
Alerts Hundreds of out-of-the-box alerts that enable users to get immediate value and minimizes configuration burden. Customizable, rule-based alerts. highly customizable but require manual setup, making it more labor-intensive to create alerts for specific conditions or metrics.
Cost of Ownership Cost effective and transparent pricing. Zero hidden costs. High cost and ambigious pricing often leads to a skewed cost to value ratio. Difficult to predict the Total Cost of Ownership (TCO) over time.

Why engineers choose Netdata

  • High-Fidelity Data Collection

    Netdata offers 1-second granularity for all metrics that allow it, enabling the capture of high-fidelity data. This is crucial for troubleshooting real-time issues and quickly identifying emerging anomalies, ensuring more precise monitoring and faster response times. This fine level of detail is crucial for detecting and resolving short-lived issues, a significant advantage over Datadog's typical 10-second data granularity.

  • Decentralized Architecture for Scalability

    Netdata’s decentralized architecture facilitates exceptional scalability, both vertically and horizontally. It efficiently handles high volumes of data with minimal traffic egress costs, a notable advantage over Datadog's primarily centralized model where the egress costs can quickly add up.

  • Anomaly Detection for Every Metric

    Unsupervised machine learning and anomaly detection are applied to every single metric in Netdata, out of the box . This provides a more streamlined experience compared to Datadog, where machine learning capabilities often require configuration.

  • Ready-to-Use Alerts and Notifications

    Netdata provides a suite of out-of-the-box alerts tailored to immediate monitoring needs, along with multiple notification methods. This feature stands out against Datadog’s powerful but configuration-intensive alerting system.

  • Transparent and Cost-Effective Pricing

    Netdata offers transparent pricing for SaaS and on-prem and comes with zero hidden costs. This contrasts with Datadog's variable pricing, which can fluctuate based on factors like number of hosts and volume of events. In practise Netdata is often an order of magnitude or more cost effective than Datadog.

Frequently Asked Questions

Which is more cost-effective for enterprise monitoring, Netdata or Datadog?

Netdata offers a significantly more cost-effective solution, especially for large-scale monitoring. It provides transparent pricing with unlimited metrics monitoring, without differentiation in metric types. Datadog, on the other hand, has varied pricing tiers based on the volume of data, the category of metrics, the number of hosts, and many hidden factors which can add up to become significant for extensive monitoring needs.

How do Netdata and Datadog compare in terms of real-time monitoring capabilities?

Netdata excels in providing real-time, high-resolution monitoring, delivering metrics updates every second. Datadog also offers real-time monitoring but with a focus on aggregated data over slightly longer intervals, which may not be as granular as Netdata’s offering.

Can both Netdata effectively monitor cloud-based and on-premise environments?

Yes, unlike Datadog, Netdata is capable of monitoring both cloud-based and on-premise environments. Netdata offers extensive out-of-the-box support for various systems.

How does the ease of setup and use compare between Netdata and Datadog for beginners?

Netdata is often favored for its ease of setup and user-friendly approach, particularly suitable for beginners. Datadog, while offering powerful features, might require more initial configuration and a steeper learning curve to fully leverage its capabilities.

Does Netdata offer services to help customers migrate from Datadog?

Yes, please reach out to us and we would be happy to help you migrate your observability needs to Netdata.

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