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Datadog vs Logstash 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)
Logstash
Ranking in Log Management
31st
Average Rating
9.0
Reviews Sentiment
5.6
Number of Reviews
5
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 Logstash is 0.8%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Datadog3.7%
Logstash0.8%
Other95.5%
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.
Mohammed-Abdelalim - PeerSpot reviewer
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Exploring resilience and integration capabilities while navigating complexity and technical challenges
Logstash lacks a graphical user interface, necessitating a strong programming background to handle it effectively. It is challenging for business users who need a skilled team for its operation. Changing pipelines is not easy because Logstash requires pipelines to be programmed and cannot just be dragged and dropped like other data solutions. Additionally, Logstash does not automatically make actions based on the data it receives; integrating automation tools is required.

Quotes from Members

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

Pros

"The dashboards and the performance of the software have been great."
"Synthetic testing is by far the most valuable feature in our organization."
"Datadog is providing efficiency in the products we develop for the wireless device engineering department."
"The technology itself is generally very useful and the interface is great."
"We chose Datadog over the other products that we evaluated because it had better features: notifications, alerting, and metric capture, and Datadog had the skill sets that we wanted at the time."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"We have found that we're able to get in and out of troubleshooting issues much more rapidly, which in turn, of course, enables us to spend more time on our products."
"The biggest thing I liked was the combination of all the things - monitoring, log aggregation, and profiling."
"The functionality of Logstash is quite easy to implement and the plugin ecosystem of Logstash is great, with plugins for shell script monitoring and SQL monitoring working well with the tool."
"I can collect logs from various data sources, including hardware."
"The transformation means we ship the logs in the way that we want them to be presented in Kibana, which is the main function we use Logstash for."
"Everything aligns well with improving our organization."
"We have three or four Logstash servers for high availability."
"Logstash has numerous plugins for inputs and outputs, allowing it to work well in environments that do not contain other Elastic components."
 

Cons

"​It would be nice to be able to graph metrics by excluding certain tags (like you can do in monitors)."
"Datadog is a platform that can be improved by making its pricing more predictable, as sometimes it is difficult to forecast exactly how much a new project will cost until after we have started ingesting the data."
"One key improvement we would like to see in a future Datadog release is the inclusion of certain metrics that are currently unavailable. Specifically, the ability to monitor CPU and memory utilization of AWS-managed Airflow workers, schedulers, and web servers would be highly beneficial for our organization."
"I'd like to see more flexibility in the customization and they have a few settings which need to be changed but we are unable to make those changes as users or as the administrator."
"Datadog probably didn't save me a ton of time because there are so many replay videos that I had to sort through in order to find the particular sales reps that I'm looking for for our beta test group."
"Users need to be aware of licensing control. With autodiscovery, the product can begin to come at a high cost."
"Some of the interface is still confusing to use."
"This service could be less costly."
"There can be a UI to implement with Logstash. Currently, I have to work with config files and everything."
"Elastic does not provide proper support for Logstash worldwide, and I rate their technical support as one out of ten."
"The product needs to improve its compatibility."
"Almost all the research can be very bad. We still have a problem with importing the log system."
"An enhancement we could implement is the ability to cluster Logstash to exist in more than one node."
 

Pricing and Cost Advice

"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"It didn't scale well from the cost perspective. We had a custom package deal."
"Licensing is based on the retention period of logs and metrics."
"This solution is budget friendly."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"Our licensing fees are paid on a monthly basis."
"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."
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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
15%
University
9%
Comms Service Provider
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise50
Large Enterprise100
No data available
 

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 needs improvement with Logstash?
Customization can be automated with Logstash, but it is at the developer's disposal. The developer has to do it, not the tool as such. There is scope for optimization, but that is all outside the t...
What is your primary use case for Logstash?
The purposes for which I am using Logstash largely include log aggregation and application monitoring.
What advice do you have for others considering Logstash?
I am using Logstash for log management and also implement it. Logstash can be deployed both on-cloud and on-premises. On a scale of 1-10, I rate Logstash an 8.
 

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. Logstash and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.