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Datadog vs Elastic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 19, 2025

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
6.4
Datadog boosts ROI by reducing downtime, enhancing reliability, optimizing resources, improving cost efficiency, and expediting issue resolution.
Sentiment score
6.5
Elastic Observability enhances cost-effectiveness by reducing incidents, automating fixes, and visualizing cloud operations, saving time and resources.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
IT Manager at Liberty Mutual Insurance
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
Sr. Cloud Infrastructure Engineer at a tech vendor with 51-200 employees
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
QA Engineer at Townsquare Interactive
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.
Technology Consultant at Hybrid software
 

Customer Service

Sentiment score
6.7
Datadog offers knowledgeable support but has variable ticket resolution and communication challenges, with limited direct engineer access.
Sentiment score
7.6
Elastic Observability customers appreciate their helpful support, quick responses, and valuable documentation, despite some challenges in complex issue resolution.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Applications Web Services Technical Engineer at Ace Hardware
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
Systems Administrator at Townsquare Interactive
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
Security Engineer at Invitation Homes
Elastic support really struggles in complex situations to resolve issues.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Their excellent documentation typically helps me solve any issues I encounter.
Technology Consultant at Hybrid software
 

Scalability Issues

Sentiment score
7.6
Datadog scales efficiently across diverse environments, handling increased workloads seamlessly, though costs may rise with extensive usage.
Sentiment score
7.2
Elastic Observability is praised for scalability and ease of deployment, despite potential complexities and internal process limitations.
Datadog's scalability has been great as it has been able to grow with our needs.
IT Manager at Liberty Mutual Insurance
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Systems Administrator at Townsquare Interactive
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
Senior Custom Software Development Consultant at a tech vendor with 501-1,000 employees
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.
Technology Consultant at Hybrid software
Elastic Observability seems to have a good scale-out capability.
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.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its reliable performance with minimal downtime and quick resolution of occasional data import issues.
Sentiment score
8.2
Elastic Observability is stable and reliable, with high user ratings, efficiently handling large data volumes with proper configuration.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Security Engineer at Invitation Homes
Datadog seems stable in my experience without any downtime or reliability issues.
Full Stack Developer at Townsquare Interactive
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
Enterprise solution architect at a manufacturing company with 10,001+ employees
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.
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.
Product Owner at Swisscom
I would rate the stability of Elastic Observability as a ten, as we don't experience any issues.
Technology Consultant at Hybrid software
 

Room For Improvement

Datadog struggles with complex pricing, customization needs, usability, and requires improved integration, training, and cost management for large organizations.
Elastic Observability needs automation, AI, and customization improvements, addressing complex deployment, market presence, metrics, licensing, and usability issues.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
Operations Manager at a financial services firm with 1,001-5,000 employees
We want to be able to customize the cost part, and we would appreciate more granular access control.
Service Manager at PwC
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
Senior Software Engineer at Los Angeles Times Communications, LLC
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.
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.
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.
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
 

Setup Cost

Datadog offers flexible pricing but can become costly with larger infrastructures; users appreciate low setup costs and initial free hosts.
Elastic Observability provides competitive pricing, benefiting large enterprises with comprehensive licensing, but may be costly for smaller users.
The setup cost for Datadog is more than $100.
Senior Performance and Architecture Analyst at a manufacturing company with 10,001+ employees
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
Applications Web Services Technical Engineer at Ace Hardware
My experience with pricing, setup cost, and licensing is that it is really expensive.
Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees
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.
Product Owner at Swisscom
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
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.
Senior Consultant at Skillfield
 

Valuable Features

Datadog excels with real-time monitoring, integrations, intuitive dashboards, and analytics, enhancing observability and operational efficiency in complex environments.
Elastic Observability excels with flexible integration, powerful search, scalability, real-time insights, affordability, and robust support, enhancing efficiency.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Senior Software Engineer at Los Angeles Times Communications, LLC
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
Security Engineer at Invitation Homes
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.
Chief Cloud Architect at a tech services company with 11-50 employees
the most valued feature of Elastic is its log analytics capabilities.
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.
Product Owner at Swisscom
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in IT Infrastructure Monitoring
2nd
Ranking in Log Management
3rd
Ranking in Container Monitoring
2nd
Ranking in Cloud Monitoring Software
2nd
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
210
Ranking in other categories
Network Monitoring Software (3rd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
6th
Ranking in IT Infrastructure Monitoring
9th
Ranking in Log Management
14th
Ranking in Container Monitoring
4th
Ranking in Cloud Monitoring Software
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 5.5%, down from 9.7% compared to the previous year. The mindshare of Elastic Observability is 2.6%, down from 6.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Datadog5.5%
Elastic Observability2.6%
Other91.9%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
MA
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.
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879,768 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
7%
Healthcare Company
6%
Financial Services Firm
17%
Computer Software Company
14%
Manufacturing Company
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise98
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
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...
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,...
 

Comparisons

 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Find out what your peers are saying about Datadog vs. Elastic Observability and other solutions. Updated: December 2025.
879,768 professionals have used our research since 2012.