No more typing reviews! Try our Samantha, our new voice AI agent.

Datadog vs Elastic Stack comparison

Why PeerSpot?
 

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
3rd
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 (1st), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (6th), AI Observability (1st)
Elastic Stack
Ranking in Log Management
21st
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 September 2026, in the Log Management category, the mindshare of Datadog is 3.7%, down from 5.8% compared to the previous year. The mindshare of Elastic Stack is 1.7%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Datadog3.7%
Elastic Stack1.7%
Other94.6%
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

"So far, Datadog has shown very good options to work on all of our operational and development issues."
"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."
"Our primary alerts, based on metrics and synthetic transactions, are the most used and relied upon for decreased MTTA/MTTR across all of our platforms. This is followed by deep log analysis that enables us to quickly and easily get to a preliminary root cause that someone on the infrastructure, platform or development teams can take and focus their attention on the precise target that Datadog revealed as the issue to be remediated."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"Enabling customers to manage their content in a fast, reliable, and highly user-friendly setup has been critical to our success."
"Datadog's visibility and debugging features help me day-to-day; specifically, we had an application that was throwing a bunch of errors causing an issue in our production database, and using Datadog, we were able to immediately isolate the error and plan around it."
"The best way it has helped us is by consolidating all our logs into a single place and making it easier to find errors."
"Datadog is easy to use and easy to deploy, and it's a better solution compared to others on the market in terms of being budget friendly for our customers."
"Prior to the latest updates, data lake management was a standout feature. The hybrid capability for on-premise and cloud integration was also crucial. Now, with Elastic Defense, the agent simplifies security monitoring, making it a key asset."
"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."
"The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it performed admirably. The alerting system is excellent, and searching through logs is incredibly efficient. What's impressive is that all three products or options are integrated into one solution. This means I don't need separate logging, monitoring, or antivirus solutions."
"The biggest strength of Elastic Stack is its brilliant archiving capabilities."
"It supports various integrations. It's open source and has excellent community support."
"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."
"I think the ecosystem is well supported, and for logs, it was faster compared to our previous previous log management."
 

Cons

"We need more integration with security tools like Drata."
"The support in Latin America is a point that I would mark as a point to improve."
"For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months."
"They can cut down the prices for Cloud SIEM. It seems very useful, however, the prices are high."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"We had limitations around RUM and our feature flag provider in Datadog because it's a back-end forward feature flag usage in our Next.js application."
"Geo-data is also something very critical that we hope to see in the future."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"Improving integration capabilities, especially with authentication systems, firewalls, and security controls, is a crucial area for improvement in Elastic Stack. Additionally, enhancing functionality to handle large Yara queries more efficiently would be beneficial, as many EDR solutions can run such queries faster than Elastic Stack's current limitations."
"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."
"There could be better documentation."
"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."
"It should facilitate easier manual integration."
"The main issue related to Elastic Stack is in the area of its licensing."
"It lacks a clear NDR (Network Detection and Response) feature. If Elastic could enhance this aspect, it would significantly boost its capabilities."
"Elastic Stack should be more simplified with ready-to-use widgets. Also, incorporating AI capabilities is essential as monitoring and observability tools are now adding AI features."
 

Pricing and Cost Advice

"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."
"​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 is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
"The cost is high and this can be justified if the scale of the environment is big."
"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."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"They prefer monthly subscriptions."
"The price is better than some competing products."
"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 used the open-source version of Elastic Stack, because of which I did not have to pay anything."
"I rate the solution's pricing a six out of ten."
"Ultimately, the pricing depends upon the capacity planning that the enterprise architect does."
"The pricing is reasonable."
"We are using the open-source community version of the product."
"It depends on the specifics, but generally, Elastic is economical for certain use cases."
"The product is expensive."
report
Use our free recommendation engine to learn which Log Management solutions are best for your needs.
913,806 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Outsourcing Company
7%
Computer Software Company
7%
Financial Services Firm
9%
Government
8%
Computer Software Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise50
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
Information Not Available
Find out what your peers are saying about Datadog vs. Elastic Stack and other solutions. Updated: September 2026.
913,806 professionals have used our research since 2012.