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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 (16th), Container Monitoring (6th)
Netdata
Ranking in IT Infrastructure Monitoring
31st
Ranking in Cloud Monitoring Software
20th
Average Rating
9.6
Reviews Sentiment
6.0
Number of Reviews
2
Ranking in other categories
Server Monitoring (15th)
 

Mindshare comparison

As of June 2026, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 1.3%, down from 3.6% 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 Observability1.3%
Netdata1.1%
Other97.6%
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.
YS
Site Reliability Engineer 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

"I found Elk to be excellent for log analytics, security analytics, application code-level analytics, collaboration with DevOps teams, CI/CD, microservices, and Kubernetes, specifically cloud-native or cloud-specific tasks."
"From my experience with several major customers, the most valued feature of Elastic is its log analytics capabilities."
"The very positive features are the cost effectiveness and the range of things that you can implement."
"The price is very less expensive compared to the other solutions."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"Elastic Observability is highly stable; we ingested nearly 170 million records in the system and we have tested it, and you get your reports and dashboards within a few seconds, so it doesn't take much time."
"We can view and connect different sources to the dashboard using it."
"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."
"Netdata has positively impacted my organization by improving downtime and incident response workflows through real-time visibility into infrastructure and application performance."
 

Cons

"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"The cost must be made more transparent."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"Simplifying the parsing of logs and manual efforts would also be beneficial."
"When opening tickets, we cannot use our team mailbox."
"There's a steep learning curve if you've never used this solution before."
"Elastic Observability needs to have better standardization, logging, and schema."
"With Elastic, you need to code and program more things compared to Dynatrace."
"The key area for improvement is data retention and historical analysis."
 

Pricing and Cost Advice

"The price of Elastic Observability is expensive."
"Pricing is one of those situations where the more you use it, the more you pay."
"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."
"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."
"We have been using the open-source version."
"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
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
64%
Comms Service Provider
6%
Computer Software Company
4%
Financial Services Firm
4%
 

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?
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...
 

Comparisons

 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Information Not Available
Find out what your peers are saying about Elastic Observability vs. Netdata and other solutions. Updated: June 2026.
900,644 professionals have used our research since 2012.