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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

"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"One of the solution's greatest aspects is its overall simplicity; it is very easy to use and easier to handle than other brands we have access to."
"Features-wise, I'd give them a rating of ten out of ten."
"Datadog solves all of these issues."
"We find they have a very helpful alert system."
"Our ROI with Datadog has been very high."
"It has enhanced the performance of my team."
"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."
"I have experienced a return on investment from the use of the solution."
"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."
"Elastic Stack has made a positive impact as we can now see our logs."
"It is an excellent tool for monitoring purposes."
"I think the ecosystem is well supported, and for logs, it was faster compared to our previous previous log management."
"The detection rules in Elastic Stack are the most valuable feature. The search capabilities are excellent and fast. As we collect logs from workstations and devices, the detection rules run on top of the logs and detect any suspicious activity, raising alerts accordingly. Integration with Elastic Stack depends on the specific integration. Elastic provides some bridging integrations that make it easy, but require custom integration. Most integrations are simple, but customization can be challenging because we need to do some parsing. There's something called Elastic Common Schema, and we need to parse the source logs to match this schema, which can be a bit challenging."
"The solution's technical support is good...Elastic Stack offers good value for value for money based on the product's features and what they offer."
"The scripting model in Elastic Stack allows me to query logs and then put the data into Grafana."
 

Cons

"I've found that the documentation is lacking in certain regards."
"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."
"Datadog can be improved by addressing billing and spend calculation methods, as it would be better if these were more straightforward."
"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."
"They can cut down the prices for Cloud SIEM. It seems very useful, however, the prices are high."
"One area where Datadog can be improved is around alert quality. In the beginning, it tends to generate many alerts, and without proper tuning, many of them are not actionable."
"There are so many different solutions; it is sometimes difficult to gauge where to start, and I sometimes miss a lot of functionality."
"The product could do better with its notifications. I want more technical support than conferences because technical support helps with setting up the product much easier."
"Elastic Stack should be more simplified with ready-to-use widgets."
"I would rate the technical support by Elastic as five or six out of ten. They should improve their response time and first-level support, particularly knowledge, which is very important for using Elasticsearch."
"The implementation of dashboards in the solution needs to be made easier...I had some issues with the ports and configuration since it was kind of complex to implement with Docker."
"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."
"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."
"Support could be improved. The error code is not helpful. We have to ask for it or pass it on to community forums."
"The main issue related to Elastic Stack is in the area of its licensing."
"Improvements are needed in the solution in areas like SOAR and TIP, where there are certain shortcomings."
 

Pricing and Cost Advice

"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"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."
"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"The tool is open-source."
"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"It depends on the specifics, but generally, Elastic is economical for certain use cases."
"If I compare Elastic Stack to the other products in the market, I would say that the tool is available at a competitive price."
"Ultimately, the pricing depends upon the capacity planning that the enterprise architect does."
"We are using the open-source community version of the product."
"I rate the solution's pricing a six out of ten."
"I used the open-source version of Elastic Stack, because of which I did not have to pay anything."
"The pricing is reasonable."
"The product is expensive."
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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.
908,800 professionals have used our research since 2012.