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Datadog vs Logstash 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 (4th), IT Infrastructure Monitoring (2nd), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), 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 June 2026, in the Log Management category, the mindshare of Datadog is 4.0%, down from 5.9% compared to the previous year. The mindshare of Logstash is 0.9%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Datadog4.0%
Logstash0.9%
Other95.1%
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.
reviewer2727468 - PeerSpot reviewer
Senior Application Engineer at a comms service provider with 11-50 employees
Transforms logs for real-time insights and seamless reporting
Logstash is used for transforming logs, and you can use many plugins in Logstash. Logstash works with configuration files that contain three main parts: an input part, a filter part, and an output part. In the input part, we can take logs from many sources such as Beats, files, or Kafka. The filter part is used to filter the logs that are shipped from Beats. From my understanding and experience with Logstash, it is usually used for processing logic, meaning I can control what fields should be transferred to Elastic and what fields shouldn't be transferred. This is the main function I use Logstash for. Elastic is a famous open-source searching engine that helps operation teams speed up the investigation process and provides real-time insights for performance reporting.

Quotes from Members

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

Pros

"The initial setup is very straightforward."
"It has enhanced the performance of my team."
"The technology itself is generally very useful and the interface is great."
"Datadog has positively impacted my organization by helping us make our web portals more efficient, and as we get the agent installed on more devices, it's really provided us visibility that we haven't had in my entire career with Ace Hardware."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"It is a good one stop location where we keep all our data for our infrastructure, and it's also easier to navigate between different things."
"The feature I've found most valuable is the log search feature."
"It has a nice UI."
"Everything aligns well with improving our organization."
"We have three or four Logstash servers for high availability."
"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."
"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."
"I can collect logs from various data sources, including hardware."
"Logstash has numerous plugins for inputs and outputs, allowing it to work well in environments that do not contain other Elastic components."
 

Cons

"One thing to improve would be making it easier to see common patterns across traces."
"The documentation leaves a lot to be desired for new users."
"The on-premise version is very difficult to upgrade."
"The more tools that they can build that allow you to run AWX playbooks, or other similar fixes, would benefit clients greatly."
"Datadog could make their use cases more visible either through their docs or tutorial videos."
"For some features, it was quite expensive. For example, APM and RAM, and Session Replays."
"At times, it can be hard to generate metrics out of logs."
"It's not that straightforward when creating an alert. The syntax is a little confusing."
"There can be a UI to implement with Logstash. Currently, I have to work with config files and everything."
"The product needs to improve its compatibility."
"Elastic does not provide proper support for Logstash worldwide, and I rate their technical support as one out of ten."
"An enhancement we could implement is the ability to cluster Logstash to exist in more than one node."
"Almost all the research can be very bad. We still have a problem with importing the log system."
 

Pricing and Cost Advice

"Licensing is based on the retention period of logs and metrics."
"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."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"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."
"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."
"The solution's pricing depends on project volume."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
9%
Computer Software Company
9%
Outsourcing Company
6%
Financial Services Firm
17%
Manufacturing Company
8%
Comms Service Provider
7%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise49
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: June 2026.
900,644 professionals have used our research since 2012.