Elastic Observability vs Prometheus-AI Platform comparison

The compared Elastic and Prometheus Group solutions aren't in the same category. Elastic is ranked #6 in APM , with an average rating of 8.7, and holds a 2.6% mindshare in the category. Prometheus Group is ranked #2 in EAM , with an average rating of 8.5, and holds a 1.8% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 100% of Prometheus Group users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

8,436 Views
6,833 Comparison Views

88% willing to recommend

Prometheus-AI Platform

Read 34 Prometheus-AI Platform reviews

5,034 Views
101 Comparison Views

100% willing to recommend

Elastic Observability

Prometheus-AI Platform

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Executive SummaryUpdated on Dec 28, 2025

Elastic Observability and Prometheus compete in the observability and monitoring solutions space. Elastic Observability has the upper hand in providing centralized logging and customizable dashboards, while Prometheus stands out with its metric collection and integration capabilities.

Features: Elastic Observability is noted for its centralized logging via Kibana, customizable dashboards, and the ability to perform deep data dives. It integrates with various tools, providing a unified monitoring experience. Prometheus is recognized for its excellent metric collection, numerous integrations, and resilience in high-availability environments. Its dynamic conflict management and compatibility with Grafana for visualization make it a favorite choice in the industry.

Room for Improvement: Elastic Observability could enhance its automation and visualization capabilities and simplify its query language. Users also desire more pre-defined templates and predictive analytics. Prometheus could improve its documentation and UI design. Users suggest the improvement of out-of-the-box logging capabilities, alerting functionality, and broader exporter support. PromQL complexity is also a concern.

Ease of Deployment and Customer Service: Elastic Observability is deployed in mixed environments including on-premises and cloud. It receives praise for its responsive customer service, though handling non-Elastic components can be complex. Prometheus, also deployed in diverse environments, is valued for its support resources despite challenges in setup and management. Elastic's support is applauded for a deeper understanding of user environments.

Pricing and ROI: Elastic Observability uses tiered pricing based on usage and data volume, benefiting larger users but posing challenges for smaller companies. Its complex licensing can be confusing despite offering good ROI through operational efficiency. Prometheus is primarily open-source, leading to minimal costs and attractiveness for financial reasons. Its no-cost model provides a strong financial advantage for many users.

To learn more, read our detailed Elastic Observability vs. Prometheus-AI Platform Report (Updated: September 2025).

Buyer's Guide

Elastic Observability vs. Prometheus-AI Platform

September 2025

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Helped 880,901 peers since 2012

Review summaries and opinions

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

ROI

Sentiment score

6.5

Elastic Observability enhances cost-effectiveness by reducing incidents, automating fixes, and visualizing cloud operations, saving time and resources.

Sentiment score

8.5

Prometheus is a free, efficient monitoring tool that saves time and money compared to AWS services, offering significant returns.

Elastic Observability has saved us time as it's much easier to find relevant pieces across the system in one screen compared to our own software, and it has saved resources too since the same resources can use less time.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

Using open-source Prometheus saves me money compared to AWS native services.

MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

For more quotes and insights, download the Prometheus-AI Platform report

Customer Service

Sentiment score

7.6

Elastic Observability customers appreciate their helpful support, quick responses, and valuable documentation, despite some challenges in complex issue resolution.

Sentiment score

4.0

Prometheus-AI Platform support relies on documentation and an active open source community, utilizing forums and internal company resources.

Elastic support really struggles in complex situations to resolve issues.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Their excellent documentation typically helps me solve any issues I encounter.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

Prometheus does not offer traditional technical support.

MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

For more quotes and insights, download the Prometheus-AI Platform report

Scalability Issues

Sentiment score

7.2

Elastic Observability is praised for scalability and ease of deployment, despite potential complexities and internal process limitations.

Sentiment score

6.9

Prometheus-AI Platform excels in scalability, widely used across industries with streamlined maintenance and seamless integration enhancing enterprise performance.

I rate the scalability of Elastic Observability as a ten, as we have never seen issues even with a lot of data coming in from more customers, provided we have the appropriate configuration.

Stefan Decuypere

Technology Consultant at Hybrid software

Elastic Observability seems to have a good scale-out capability.

Syed Waqar Uddin

Chief Cloud Architect at a tech services company with 11-50 employees

Elastic Observability is easy in deployment in general for small scale, but when you deploy it at a really large scale, the complexity comes with the customizations.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

For more quotes and insights, download the Elastic Observability report

Prometheus is scalable, with a rating of ten out of ten.

MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

For more quotes and insights, download the Prometheus-AI Platform report

Stability Issues

Sentiment score

8.2

Elastic Observability is stable and reliable, with high user ratings, efficiently handling large data volumes with proper configuration.

Sentiment score

8.9

Prometheus-AI Platform is praised for stability and versatility in deployment, despite occasional minor performance issues from external factors.

There are some bugs that come with each release, but they are keen always to build major versions and minor versions on time, including the CVE vulnerabilities to fix it.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

It is very stable, and I would rate it ten out of ten based on my interaction with it.

Adelina Craciun

Product Owner at Swisscom

I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.

Stefan Decuypere

Technology Consultant at Hybrid software

For more quotes and insights, download the Elastic Observability report

Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.

MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

For more quotes and insights, download the Prometheus-AI Platform report

Room For Improvement

Elastic Observability needs automation, AI, and customization improvements, addressing complex deployment, market presence, metrics, licensing, and usability issues.

Prometheus-AI requires improvements in query language, user interface, scalability, integration, error handling, affordability, and ease of use.

For instance, if you have many error logs and want to create a rule with a custom query, such as triggering an alert for five errors in the last hour, all you need to do is open the AI bot, type this question, and it generates an Elastic query for you to use in your alert rules.

Lakshmi Bodepu

Senior Consultant at Skillfield

It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.

reviewer708360

Senior Technical Sales at a tech vendor with 1,001-5,000 employees

Some areas such as AI Ops still require data scientists to understand machine learning and AI, and it doesn't have a quick win with no-brainer use cases.

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

For more quotes and insights, download the Elastic Observability report

No quotes available

For more quotes and insights, download the Prometheus-AI Platform report

Setup Cost

Elastic Observability provides competitive pricing, benefiting large enterprises with comprehensive licensing, but may be costly for smaller users.

Prometheus-AI Platform offers an affordable open-source monitoring solution, with options for managed services at extra costs.

The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.

Adelina Craciun

Product Owner at Swisscom

Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.

Syed Waqar Uddin

Chief Cloud Architect at a tech services company with 11-50 employees

Observability is actually cheaper compared to logs because you're not indexing huge blobs of text and trying to parse those.

Lakshmi Bodepu

Senior Consultant at Skillfield

For more quotes and insights, download the Elastic Observability report

Prometheus is cost-effective for me as it is free.

MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

For more quotes and insights, download the Prometheus-AI Platform report

Valuable Features

Elastic Observability excels with flexible integration, powerful search, scalability, real-time insights, affordability, and robust support, enhancing efficiency.

Prometheus-AI Platform provides scalable, customizable monitoring with extensive integrations, fast storage, and reliable dashboards, supported by a strong community.

The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.

Syed Waqar Uddin

Chief Cloud Architect at a tech services company with 11-50 employees

the most valued feature of Elastic is its log analytics capabilities.

reviewer708360

Senior Technical Sales at a tech vendor with 1,001-5,000 employees

All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.

Adelina Craciun

Product Owner at Swisscom

For more quotes and insights, download the Elastic Observability report

It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.

MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

For more quotes and insights, download the Prometheus-AI Platform report

Categories and Ranking

Elastic Observability

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (6th), IT Infrastructure Monitoring (9th), Log Management (14th), Container Monitoring (4th), Cloud Monitoring Software (7th)

Prometheus-AI Platform

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Scrubbing Software (3rd), ERP (10th), Enterprise Asset Management (EAM) (2nd)

Mindshare comparison

Elastic Observability and Prometheus-AI Platform aren’t in the same category and serve different purposes. Elastic Observability is designed for Application Performance Monitoring (APM) and Observability and holds a mindshare of 2.6%, down 6.2% compared to last year.
Prometheus-AI Platform, on the other hand, focuses on Enterprise Asset Management (EAM), holds 1.8% mindshare.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Elastic Observability	2.6%
Dynatrace	6.6%
Datadog	5.5%
Other	85.3%

Application Performance Monitoring (APM) and Observability

Enterprise Asset Management (EAM) Market Share Distribution
Product	Market Share (%)
Prometheus-AI Platform	1.8%
IBM Maximo	16.0%
Oracle Enterprise Asset Management	7.8%
Other	74.4%

Enterprise Asset Management (EAM)

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

MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

Free to use and provides valuable monitoring capabilities

Prometheus is a scalable and flexible tool that I can deploy on any cloud platform. It is free to use and provides valuable monitoring capabilities. It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus. The ability to deploy on any cloud platform or environment, including Kubernetes, is a major advantage.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

Government

Financial Services Firm

19%

Computer Software Company

12%

Manufacturing Company

Government

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	13
Midsize Enterprise	8
Large Enterprise	13

Questions from the Community

What do you like most about Elastic Observability?

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...

See all answers

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 ...

See all answers

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,...

See all answers

What do you like most about Prometheus?

The most valuable feature of Prometheus is its ability to collect metrics.

See all answers

What is your experience regarding pricing and costs for Prometheus?

Prometheus is cost-effective for me as it is free. Using cloud-native alternatives like Amazon Prometheus would incur charges.

See all answers

What is your primary use case for Prometheus?

I use Prometheus for monitoring purposes in IT infrastructure. It is particularly useful for environments using Kubernetes, as it monitors ports, containers, instances, and applications effectively.

See all answers

Comparisons

Sentry vs Elastic Observability

Compared 8% of the time

Dynatrace vs Elastic Observability

Compared 7% of the time

New Relic vs Elastic Observability

Compared 7% of the time

Grafana vs Elastic Observability

Compared 7% of the time

Zabbix vs Elastic Observability

Compared 6% of the time

More Elastic Observability Competitors

Dynatrace vs Prometheus-AI Platform

Compared 6% of the time

Grafana vs Prometheus-AI Platform

Compared 6% of the time

Apache SkyWalking vs Prometheus-AI Platform

Compared 6% of the time

Azure Monitor vs Prometheus-AI Platform

Compared 5% of the time

Sentry vs Prometheus-AI Platform

Compared 5% of the time

More Prometheus-AI Platform Competitors

Product Reports

Buyer's Guide

Elastic Observability

January 2026

Download Elastic Observability product report

Buyer's Guide

Prometheus-AI Platform

January 2026

Download Prometheus-AI Platform product report

Also Known As

No data available

Utopia Data Quality

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

Prometheus-AI Platform offers flexible solutions for collecting, visualizing, and comparing metrics, appreciated for its scalability, rich integrations, and open-source adaptability.

Prometheus-AI Platform provides a reliable framework for monitoring and analyzing metrics across diverse environments. With extensive API support, it supports data collection, querying, and visualization, integrating seamlessly with tools like Grafana. High availability, scalability, and lightweight configuration make it suitable for traditional and microservice environments, while community support enhances its utility. Though its query language and interface require improvements for better ease of use, and with calls for stronger integration options, the platform remains a leading choice for comprehensive metric analysis.

What are Prometheus-AI Platform's main features?

Flexibility: Adaptable to various environments and needs.
Grafana Integration: Enables detailed dashboard visualizations.
Scalability: Efficient in scaling to meet large data demands.
API Support: Extensive API capabilities for custom solutions.
Open-source: Community support and continual adaptation.
Lightweight Configuration: Simplifies deployment and management.
Query and Storage: Powerful capabilities for effective metric handling.

What benefits should users consider when evaluating Prometheus-AI Platform?

Performance Insights: Accurate metric analysis boosts performance tracking.
Comprehensive Monitoring: Offers full visibility into infrastructure and applications.
Customization: API and open-source flexibility for tailored solutions.
Community Support: Benefits from a broad support network.
Cost-effectiveness: Efficient handling of data reduces operational expenses.

Companies leverage Prometheus-AI Platform across various industries, utilizing it to monitor and analyze metrics from applications and infrastructure. It is extensively used in financial services and IT sectors for collecting, scraping logs, and monitoring Kubernetes deployments. Deployed both on-premise and in cloud environments like Azure and Amazon, it supports system and application metrics analysis, ensuring a comprehensive view for developers.

Prometheus Group

Sample Customers

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

Harley-Davidson Motor Company, Roche Diagnostics Corporation, Harman International Industries Inc., Hilmar Cheese Company, International Rectifier Corporation, Electrolux USA, GE Fanuc Intelligent Platforms, Rio Tinto Limited, Pertamina Pusat, Petrofac International Ltd, Cintas Corporation, Diyar United Company, Nortel Networks, Verizon

Buyer's Guide

Elastic Observability vs. Prometheus-AI Platform

September 2025

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