Elastic Observability vs Grafana Enterprise Stack comparison

Elastic Observability vs. Grafana Enterprise Stack

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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

13th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (11th), Log Management (16th), Container Monitoring (5th), Cloud Monitoring Software (11th)

Grafana Enterprise Stack

Ranking in IT Infrastructure Monitoring

20th

Average Rating

8.4

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the IT Infrastructure Monitoring category, the mindshare of Elastic Observability is 1.3%, down from 3.3% compared to the previous year. The mindshare of Grafana Enterprise Stack is 0.8%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IT Infrastructure Monitoring Mindshare Distribution
Product	Mindshare (%)
Elastic Observability	1.3%
Grafana Enterprise Stack	0.8%
Other	97.9%

IT Infrastructure Monitoring

Featured Reviews

Mohammed-Abdelalim

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.

Read full review

Rajan M

Test Lead at Calpine Group

Efficient monitoring and alerting enhance operational insights

With Grafana Enterprise Stack, we can identify issues that New Relic cannot help with. While New Relic requires purchase and supports frontend and backend components, Grafana Enterprise Stack helps identify where issues are occurring. When we need to deep dive into issues, we use New Relic to trace transactions and determine where maximum impact occurs, whether in core size, DB side, or frontend components that slow performance. We first evaluate with Grafana Enterprise Stack, then move to New Relic if we identify performance degradation, such as DB queries taking too much time. Grafana Enterprise Stack responds to queries within 6 to 12 hours. They contact users through email immediately when available. Similarly, New Relic follows the same pattern, responding immediately when requests are raised and resolving issues promptly.

Read full review

Quotes from Members

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

Pros

"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."

"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."

"The solution allows us to track performance via metrics and we're able to see where latency is happening."

"The price is very less expensive compared to the other solutions."

"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."

"For full stack observability, Elastic is the best tool compared with any other tool like New Relic or AppDynamics or Dynatrace."

"The most valuable feature of Elastic Observability is the text search."

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."

More Elastic Observability pros

"The most valuable feature of Grafana Enterprise Stack is the dashboards."

"The most valuable features for us are dashboards; we can dashboard anything that we can think of, we can dashboard and measure."

"The dashboards are pretty good."

"It is very easy to deploy and integrate with any application or infrastructure layer."

"Grafana's full observability stack, known as LGTM, is highly valuable."

"The tool's most valuable feature is real-time monitoring. It helps in securing the application or the node by allowing us to monitor and manage resource consumption during peak times. For instance, from 10 AM to 2 PM, we may experience high memory utilization. It helps us to solve these issues."

"Grafana Enterprise Stack is a powerful open-source platform with robust capabilities in data visualizations, dashboard creations, and alerting."

"Compared to other packages, Grafana Enterprise Stack is user-friendly and easy to configure quickly."

More Grafana Enterprise Stack pros

Cons

"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."

"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."

"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."

"With Elastic, you need to code and program more things compared to Dynatrace."

"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."

"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."

"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."

"When opening tickets, we cannot use our team mailbox."

More Elastic Observability cons

"The solution should include integration with Power BI."

"Productivity has been improved with the use of Grafana Enterprise Stack, but cost savings or return on investment specifics are not clear."

"The connection between metrics, logs, and traces could be improved."

"I have encountered occasional issues with false inputs or incorrect data in Grafana."

"Grafana Enterprise Stack is complex and not easy or simple."

"If Grafana Enterprise Stack could display transaction queries in dashboard format similar to New Relic, it would provide more options and capabilities for users."

"Integrating AI capabilities for automated self-healing and reduced manual interventions would be valuable."

"I find Grafana really hard to configure. It's difficult to build the dashboard, and it's non-intuitive. In my opinion, it's very difficult to work with Grafana."

More Grafana Enterprise Stack cons

Pricing and Cost Advice

"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."

"One needs to pay for the licenses, and it is an annual subscription model right now."

"The product’s pricing needs improvement."

"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."

"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."

"The product is not that cheap."

"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."

More Elastic Observability pricing and cost advice

"I use the tool's free license."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

10%

Manufacturing Company

Government

Energy/Utilities Company

16%

Financial Services Firm

14%

Manufacturing Company

11%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	1
Large Enterprise	7

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 needs improvement with Grafana Enterprise Stack?

I am trying to think about its advanced alerting features; we do not use it too much for that. We do get it to report through to our help desk system and if a threshold gets broken, then a ticket i...

What is your primary use case for Grafana Enterprise Stack?

I have switched to a different suite, focusing on customer edge solutions that are mostly Fortinet. To manage it, I use Grafana Enterprise Stack and a whole bunch of tools that we wrote ourselves. ...

What advice do you have for others considering Grafana Enterprise Stack?

We use Grafana Enterprise Stack in all of our clients. I rate this product an eight out of ten.

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Product Reports

Elastic Observability

Download Elastic Observability product report

Grafana Enterprise Stack

Download Grafana Enterprise Stack product report

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Grafana Enterprise Stack is a powerful tool for real-time data monitoring and visualization. With its flexible and scalable features, it is widely used for creating dashboards, analyzing metrics, and gaining insights into infrastructure, databases, and applications.

Its valuable features include powerful visualization capabilities, extensive data source integrations, customizable dashboards, a user-friendly interface, and a robust alerting system. Users appreciate its flexibility, scalability, and ability to integrate with different data sources, making it suitable for a wide range of industries and use cases.

Grafana Labs

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

1. Uber 2. PayPal 3. eBay 4. Sony 5. Red Hat 6. IBM 7. Cisco 8. Adobe 9. Expedia 10. Booking.com 11. Airbnb 12. LinkedIn 13. Twitter 14. Netflix 15. Spotify 16. Pinterest 17. Slack 18. GitLab 19. Docker 20. Atlassian 21. Salesforce 22. Microsoft 23. Google 24. Amazon 25. Facebook 26. Apple 27. Intel 28. Oracle 29. SAP 30. VMware 31. HP 32. Dell

Elastic Observability vs. Grafana Enterprise Stack