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Datadog vs Elastic Stack comparison

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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 (3rd), Network Monitoring Software (9th), IT Infrastructure Monitoring (3rd), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (2nd), Cloud Security Posture Management (CSPM) (8th), AI Observability (1st)
Elastic Stack
Ranking in Log Management
23rd
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 November 2026, in the Log Management category, the mindshare of Datadog is 3.7%, down from 5.4% compared to the previous year. The mindshare of Elastic Stack is 1.6%, down from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Datadog3.7%
Elastic Stack1.6%
Other94.7%
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

"When I reflect on the ways we used to track down issues, I can't imagine how we ever managed before Datadog."
"Excellent autocomplete for everything in the UI."
"Datadog helps us detect issues early on and helps in troubleshooting."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"We like the distributed tracing and flame graphs for debugging. This has been invaluable for us during periods of high traffic or red alert conditions."
"APM is great and has provided low-effort out-of-the-box observability for various services."
"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"Datadog has positively impacted my organization by shortening our time to resolve incidents because it's a central place for getting all the data that we need for troubleshooting."
"It is an excellent tool for monitoring purposes."
"Elastic Stack has made a positive impact as we can now see our logs."
"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."
"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."
"It supports various integrations. It's open source and has excellent community support."
"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 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."
"I think the ecosystem is well supported, and for logs, it was faster compared to our previous previous log management."
 

Cons

"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."
"The real issue with this product is cost control."
"Learning about the tooling could also be improved. It is a bit clunky to use, especially in an incident."
"The product needs to have more enterprise approach to configuration."
"In the past two years, there have been a couple of outages."
"The product can be improved by allowing the grouping of APIs to add variables. That way, any API with a unique ID could be grouped together."
"Lately, chat support has a longer waiting time."
"One thing that I haven't been able to figure out is how to retrieve a report."
"Support could be improved. The error code is not helpful. We have to ask for it or pass it on to community forums."
"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."
"It lacks a clear NDR (Network Detection and Response) feature. If Elastic could enhance this aspect, it would significantly boost its capabilities."
"Improvements are needed in the solution in areas like SOAR and TIP, where there are certain shortcomings."
"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."
"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 main issue related to Elastic Stack is in the area of its licensing."
"When people try to move the data from another source to Elastic Stack for visualization, they face challenges when connecting to Elastic Stack from such different sources."
 

Pricing and Cost Advice

"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."
"​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 has a module-based pricing model."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"The price is better than some competing products."
"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."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"The solution's pricing depends on project volume."
"The pricing is reasonable."
"The product is expensive."
"I used the open-source version of Elastic Stack, because of which I did not have to pay anything."
"It depends on the specifics, but generally, Elastic is economical for certain use cases."
"We are using the open-source community version of the product."
"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."
"Ultimately, the pricing depends upon the capacity planning that the enterprise architect does."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
10%
Outsourcing Company
8%
Comms Service Provider
7%
Financial Services Firm
9%
Government
8%
Manufacturing Company
8%
Computer Software Company
8%
 

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
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Find out what your peers are saying about Datadog vs. Elastic Stack and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.