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Elastic Observability vs Netdata comparison

 

Comparison Buyer's Guide

Executive Summary

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

Elastic Observability
Ranking in IT Infrastructure Monitoring
15th
Ranking in Cloud Monitoring Software
11th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Application Performance Monitoring (APM) and Observability (11th), Log Management (15th), Container Monitoring (5th)
Netdata
Ranking in IT Infrastructure Monitoring
33rd
Ranking in Cloud Monitoring Software
21st
Average Rating
9.0
Reviews Sentiment
8.7
Number of Reviews
1
Ranking in other categories
Server Monitoring (16th)
 

Mindshare comparison

As of May 2026, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 1.4%, down from 3.8% compared to the previous year. The mindshare of Netdata is 1.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
Elastic Observability1.4%
Netdata1.1%
Other97.5%
IT Infrastructure Monitoring
 

Featured Reviews

Mohammed-Abdelalim - PeerSpot reviewer
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities
In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.
Yess Kumar - PeerSpot reviewer
SRE at a tech vendor with 5,001-10,000 employees
Real-time monitoring has improved incident detection and simplifies per-second troubleshooting
The key area for improvement is data retention and historical analysis. Netdata is excellent for real-time monitoring, but for long-term storage and deep historical insights, it usually needs to be integrated with other tools. Improving built-in long-term retention would make it more complete. Another area I see is data aggregation, where it correlates multiple nodes; while it provides great per-node visibility, having more advanced centralized views and correlations across systems would help in larger-scale environments. Customization of alerts and anomaly detection could also be enhanced. One area needing improvement is access control and security features. Stronger RBAC and user management would help control who can view data. Another area would be customization of dashboards, alerting integrations, and improving enterprise-level scalability features.

Quotes from Members

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

Pros

"The solution allows us to track performance via metrics and we're able to see where latency is happening."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"In addition to the fact that we are more proactive in the detection of incident before they occur, we can on one click see the request path from the customer to the backend."
"I have built a mini business intelligence system based on Elastic Observability."
"From my experience with several major customers, the most valued feature of Elastic is its log analytics capabilities."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins."
"The biggest ROI I have seen is in incident detection, with improvements of forty to fifty percent, troubleshooting time by thirty to forty percent, and productivity gains of around twenty-five to thirty percent."
 

Cons

"There could be more low-code features included in the product."
"When I go to the portal, I do not see many insights on the endpoints or where there could be latencies."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"One example is the inability to monitor very old databases with the newest version."
"The interface could be improved."
"Elastic Observability needs to have better standardization, logging, and schema."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"The key area for improvement is data retention and historical analysis."
 

Pricing and Cost Advice

"The product’s pricing needs improvement."
"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
"Elastic Observability's pricing could be better for small-scale users."
"The price of Elastic Observability is expensive."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"We have been using the open-source version."
"We will buy a premium license after POC."
"One needs to pay for the licenses, and it is an annual subscription model right now."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
11%
Government
7%
Manufacturing Company
7%
Transportation Company
66%
Comms Service Provider
6%
Computer Software Company
4%
Construction Company
3%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Elastic Observability?
The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...
What needs improvement with Elastic Observability?
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...
What is your primary use case for Elastic Observability?
My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.
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?
The key area for improvement is data retention and historical analysis. Netdata is excellent for real-time monitoring, but for long-term storage and deep historical insights, it usually needs to be...
What is your primary use case for Netdata?
I have been using Netdata for the past one and a half years, mainly for real-time monitoring and quick visibility into system performance. During this time, I have used it to monitor CPU, memory, d...
 

Comparisons

 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Information Not Available
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