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Datadog vs Elastic Stack comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

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

Datadog
Ranking in Log Management
4th
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Elastic Stack
Ranking in Log Management
15th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
18
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Log Management category, the mindshare of Datadog is 3.9%, down from 6.0% compared to the previous year. The mindshare of Elastic Stack is 1.9%, down from 5.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Datadog3.9%
Elastic Stack1.9%
Other94.2%
Log Management
 

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.
LB
Senior Consultant at Skillfield
Offers robust out-of-the-box integrations and streamlines logging processes effortlessly
There are improvements needed for Elastic Stack. It is mostly based on Lucene, and the heart of Elastic Stack is Lucene, which has some limitations. Anything built on top of Lucene often feels an add-on, and that includes vector databases. Elastic Stack can store vector embeddings as well and perform AI and machine learning tasks out of the box without excessive configuration. The main improvements involve increasing speed and compression capabilities; I have seen databases that claim to achieve significantly better compression. While Elastic Stack can manage vast amounts of data, if the mapping is not specified correctly, the indexing time can be slow, especially with many events per second. Improper mapping usually means that every document received gets indexed for all fields, which is not desired. Elastic consultants typically optimize this, but out of the box, as data volume increases, scaling becomes necessary. They are working on these improvements in new versions.

Quotes from Members

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

Pros

"The selection of monitors is a big feature I have been working with."
"The ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents so far this year, and we heavily rely on a series of dashboards showing us various queues and load on CPU and memory for servers."
"The feature I have found to be the most valuable is the filtering feature in logs."
"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"The service catalog helped improve our organization by giving a good view of the flow for our microservices applications."
"By leveraging AWS's functionality, we have increased our application's security and sped up the deployment process."
"With Datadog I can look at the health of the technology stack and services."
"We find they have a very helpful alert system."
"I think the ecosystem is well supported, and for logs, it was faster compared to our previous previous log management."
"It is a very scalable solution...I didn't face any problem with this scalability part of the solution since we only have a few pieces of equipment in our company."
"The tool's most powerful aspect is its search engine capability. It's a highly effective and powerful solution for searching. We use it in professional and student projects at universities, and it delivers promising results."
"We can group a lot of alarms into one automation alarm supervision. The alarm supervision allows us to put the alarm under the same. It's quite helpful for us. We used that to suppress our alarms. Elastic already provides the agent. It is easy to integrate Elastic Stack with other devices and vendors."
"Elastic Stack has made a positive impact as we can now see our logs."
"I have benefited from the security features provided by X-Pack in Elastic Stack, particularly the SIEM capability, which is very good for checking security issues."
"The biggest strength of Elastic Stack is its brilliant archiving capabilities."
"The centralized logging capabilities of Elastic Stack have helped me streamline my logging processes significantly because there are many open-source tools available, such as Filebeat and Logstash, to collect the logs."
 

Cons

"The error traceability is an area that can be improved."
"Geo-data is also something very critical that we hope to see in the future."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"It is far too easy to run up huge unexpected costs."
"Datadog could be improved with a simpler graphical user interface that can be extended to non-technical users, such as a CXO, if they want to review the dashboard overall for current tickets and the ticketing dashboard."
"There is occasional UI slowness and bugs."
"The way data is represented can be limiting. When I first tried it out a long time ago, you could graph a metric and another metric, and they'd overlay, but you couldn't take the ratio between the two."
"The tool's pricing can be improved."
"The stability of the solution is rated as three or four out of ten as we frequently encounter issues."
"Elastic Stack should work on their dashboards and integration process."
"There could be better documentation."
"Elastic Stack's search capabilities can be challenging, especially when searching for precise data from past years, such as two or ten years ago. Its indexing performance for exact data retrieval may decrease as the data volume grows. Therefore, I believe there is room for improvement in the product's search functionality. It needs to improve its pricing as well."
"While Elastic Stack can manage vast amounts of data, if the mapping is not specified correctly, the indexing time can be slow, especially with many events per second."
"Agent deployment is a little tough in the on-premise version."
"AI-enablement would be a big improvement in Elastic Stack...If there is room for an ML model in Elastic Stack, then it would be good."
 

Pricing and Cost Advice

"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"The solution's pricing depends on project volume."
"The price is better than some competing products."
"This solution is budget friendly."
"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."
"The cost is high and this can be justified if the scale of the environment is big."
"They prefer monthly subscriptions."
"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"It depends on the specifics, but generally, Elastic is economical for certain use cases."
"Ultimately, the pricing depends upon the capacity planning that the enterprise architect does."
"If I compare Elastic Stack to the other products in the market, I would say that the tool is available at a competitive price."
"I rate the solution's pricing a six out of ten."
"The pricing is reasonable."
"I used the open-source version of Elastic Stack, because of which I did not have to pay anything."
"The product is expensive."
"We are using the open-source community version of the product."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
6%
Financial Services Firm
10%
Computer Software Company
9%
Government
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise49
Large Enterprise100
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise3
Large Enterprise7
 

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 is your experience regarding pricing and costs for Elastic Stack?
My experience with Elastic Stack pricing indicates that it is node-based. While I do not have complete pricing details, they are available online. If I choose Elastic Cloud, it includes licensing a...
What needs improvement with Elastic Stack?
I would like to improve Elastic Stack by addressing the current big problem we face with importing logs and log files, such as syslogs. To import these log files, we need to design the ingest pipel...
What is your primary use case for Elastic Stack?
Elastic Stack is primarily used for everything related to security, including security systems, checking the security system, and also servers and networks.
 

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
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Find out what your peers are saying about Datadog vs. Elastic Stack and other solutions. Updated: June 2026.
908,834 professionals have used our research since 2012.