Netdata is a real-time observability platform with agentic AI troubleshooting that covers the full stack in one product: infrastructure, containers and Kubernetes, databases, networks, cloud services, logs, distributed traces and digital experience. It installs in minutes, finds what's running on its own, and starts monitoring right away. Dashboards, ready-made alerts and machine-learning anomaly detection on every metric work out of the box, with no configuration and no query language.
Netdata AI works as an on-call engineer. It investigates alerts, correlates anomalies across thousands of metrics, logs and traces, finds the root cause and explains the incident with clear recommendations, so teams get from alert to resolution in minutes instead of hours. Netdata AI can also run capacity planning, performance optimization, SLA audits and so much more. Netdata connects to other tools (such as GitHub, PagerDuty, Jira, Confluence and more) you use to bring in relevant context to make the AI investigations more functional and accurate. MCP servers on every Netdata Agent and in Netdata Cloud also let any AI assistant, such as Claude, Cursor or VS Code, query the live infrastructure directly.
Netdata collects per-second metrics through 800+ integrations and works natively with Prometheus, OpenTelemetry, StatsD and Nagios. Digital Experience Monitoring shows what users actually experience: Real User Monitoring (RUM) tracks Core Web Vitals, JavaScript errors and sessions from real visitors, and synthetic journeys and Lighthouse audits test critical user flows on a schedule. OpenTelemetry-native distributed tracing adds a traces explorer with waterfall views and on-demand rate, error and latency analysis for any slice of traffic. Trace context links each user interaction in the browser to the backend services that handled it. Logs can be queried where they already live on each system, or collected centrally through an OpenTelemetry pipeline.
For network performance monitoring, Netdata monitors any SNMP device with zero configuration and includes dedicated profiles for 1,700+ device models. It analyzes NetFlow, IPFIX and sFlow traffic, decodes SNMP traps, and tracks BGP. It also maps L2/L3 network topology and application dependencies, showing how processes communicate across systems without any instrumentation. Network data shares the same dashboards and timeline as the servers, containers and applications running over the network.
Netdata's distributed architecture processes data at the edge, where it's generated. That keeps per-second detail affordable, catches short-lived issues that traditional tools miss, and keeps the data on your own infrastructure. Netdata is available as SaaS through Netdata Cloud or as an Enterprise On-Prem deployment, including private cloud and air-gapped environments.
Average Rating: 4.6/5.0
Total Reviews: 51
How Do G2 Users Rate Netdata?
-
Ease of Use: 9.1/10 (Category avg: 8.8/10)
-
Quality of Support: 9.0/10 (Category avg: 8.9/10)
Who Is the Company Behind Netdata?
-
Seller: Netdata
-
Year Founded: 2018
-
HQ Location: San Francisco, US
-
Twitter: @netdatahq
4,040 Twitter followers
-
LinkedIn® Page: www.linkedin.com
81 employees on LinkedIn®
Who Uses This Product?
-
Top Industries: Information Technology and Services, Computer Software
-
Company Size: 44% Small, 43% Medium
What Do G2 Reviewers Say About Netdata?
AI-generated summary from verified user reviews
Pros
- Users highlight the ease of use of Netdata, praising its quick setup and intuitive dashboard for monitoring.
- Users praise the easy setup of Netdata, experiencing quick implementation and immediate access to detailed metrics.
- Users praise the ease of setup and detailed real-time monitoring provided by Netdata, enabling efficient system management.
- Users value the real-time monitoring of Netdata, appreciating its detail and immediacy for swift decision-making.
- Users find the easy installation and user-friendly dashboard of Netdata to be highly beneficial for monitoring systems.
Cons
- Users note missing APM features and limited documentation, which affect usability and long-term data retention.
- Users find the insufficient documentation on best practices limits their ability to fully optimize Netdata's capabilities.
- Users note the limited compatibility with Windows and lack of integrations, impacting their monitoring experience.
- Users find the limited functionality of Netdata frustrating, especially with scalability and third-party dependencies affecting performance.
- Users highlight resource limitations in Netdata, struggling with data volume and scalability challenges on their systems.