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Netdata vs Splunk Observability Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Netdata
Ranking in IT Infrastructure Monitoring
30th
Ranking in Cloud Monitoring Software
23rd
Average Rating
10.0
Reviews Sentiment
6.0
Number of Reviews
1
Ranking in other categories
Server Monitoring (15th)
Splunk Observability Cloud
Ranking in IT Infrastructure Monitoring
5th
Ranking in Cloud Monitoring Software
4th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
88
Ranking in other categories
Application Performance Monitoring (APM) and Observability (5th), Network Monitoring Software (6th), Container Management (5th), Digital Experience Monitoring (DEM) (2nd)
 

Mindshare comparison

As of July 2026, in the IT Infrastructure Monitoring category, the mindshare of Netdata is 1.1%, up from 1.1% compared to the previous year. The mindshare of Splunk Observability Cloud is 2.2%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
Splunk Observability Cloud2.2%
Netdata1.1%
Other96.7%
IT Infrastructure Monitoring
 

Featured Reviews

Yash Dhawan - PeerSpot reviewer
Tech Ops Engineer at Zeller
Real-time monitoring has transformed incident response and keeps critical workloads running smoothly
Netdata's best features are visualization, which helps operational efficiency and reduces downtime while supporting faster incident response, and real-time monitoring, which provides second-by-second visibility into infrastructure. The dashboard makes it easy to visualize, and it has the capability to create alarms with very low operational overhead, requiring much less maintenance compared to many traditional monitoring solutions. It is highly scalable for distributed systems, enabling me to monitor multiple services efficiently while maintaining responsive dashboards. The feature I find myself relying on the most day-to-day is the real-time monitoring and live dashboards, as it provides second-by-second visibility into infrastructure health, helping my team detect issues instantly instead of waiting. This feature is extremely useful during production incidents and troubleshooting, enabling faster root cause analysis and quicker response times. In many environments, engineers rely heavily on Netdata during CPU memory spikes, Kubernetes pod failures, network bottlenecks, and application latency investigations, which highlight the biggest advantages of using Netdata. Netdata has positively impacted my organization by improving downtime and incident response workflows through real-time visibility into infrastructure and application performance. The live dashboards greatly assist us, as instant metric updates allow me to quickly detect anomalies, resource spikes, and service degradation before they escalate into larger production issues. The overall improvement has been significant. In terms of specific metrics or outcomes regarding Netdata, there has been a reduction in downtime and faster incident resolution due to better monitoring capabilities. When infrastructure services degrade, such as during particular CPU usage spikes, I can visualize these events from the dashboard, helping me identify bottlenecks and conduct root cause analysis. These functionalities enhance visibility and proactive capabilities for faster anomaly detection, contributing to overall improved operational efficiency and infrastructure reliability.
PK
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Unified observability has improved real-time governance and now drives data-led decisions
Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.
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Top Industries

By visitors reading reviews
Transportation Company
64%
Comms Service Provider
6%
Financial Services Firm
4%
Computer Software Company
3%
Financial Services Firm
12%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business33
Midsize Enterprise8
Large Enterprise55
 

Questions from the Community

What is your experience regarding pricing and costs for Netdata?
As I am going with the subscription-based model in the SaaS, the pricing and setup cost are very nice, and the setup is very easy since I am running the server inside GCP.
What needs improvement with Netdata?
Netdata can be improved by incorporating AI-driven anomaly detection and predictive monitoring capabilities to forecast potential bottlenecks. Additionally, broader native integrations with enterpr...
What is your primary use case for Netdata?
Netdata serves as my real-time monitoring and observability platform for infrastructure and application performance monitoring, providing highly detailed real-time metrics with minimal setup and lo...
What needs improvement with SignalFx?
Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...
What is your primary use case for SignalFx?
The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...
What advice do you have for others considering SignalFx?
We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...
 

Also Known As

No data available
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

Information Not Available
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Zabbix, Datadog, SolarWinds and others in IT Infrastructure Monitoring. Updated: June 2026.
904,680 professionals have used our research since 2012.