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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
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)
Logstash
Ranking in Log Management
29th
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 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 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

"Thanks to the logs, we manage to make better reports through Jira and also to trace the request with more facility than we would be able to do otherwise."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"The initial setup was straightforward from my own experience, helping integrate within the application and service levels."
"It provides more cloud data. They tend to just get the way a service would be designed on the cloud."
"The service catalog is very useful; we use this type of offering for our microservices applications, and it gives a good view of flow, which is a must when we have different developers working on different services, and having the trace and log features has been useful in order to locate the microservice for the on-call person."
"Log analytics give us a powerful mechanism for error tracking, research, and analysis."
"The solution is stable and reliable."
"Datadog was a way simpler solution to setting up browser and API tests quickly."
"Everything aligns well with improving our organization."
"We have three or four Logstash servers for high availability."
"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."
"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."
"Logstash has numerous plugins for inputs and outputs, allowing it to work well in environments that do not contain other Elastic components."
"I can collect logs from various data sources, including hardware."
 

Cons

"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"The only issue I face is when more than one person editing these dashboards simultaneously, one or the other person sometimes loses his/her work."
"The way data is represented can be limiting. When I first tried it out a long time ago, you could graph a metric and another metric, and they'd overlay, but you couldn't take the ratio between the two."
"One major drawback of Datadog is the cost. Sometimes we set up flows in place to monitor resources that end up logging more than we thought, and the bill is too high."
"Support via tickets is absolutely terrible. It's the one obvious bad spot for Datadog."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"It is far too easy to run up huge unexpected costs."
"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."
"An enhancement we could implement is the ability to cluster Logstash to exist in more than one node."
"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."
 

Pricing and Cost Advice

"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"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."
"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."
"While it is an expensive product, I would rate the pricing level at four out of five."
"It didn't scale well from the cost perspective. We had a custom package deal."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"​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."
"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
14%
Manufacturing Company
9%
Outsourcing Company
7%
Computer Software Company
7%
Financial Services Firm
17%
University
8%
Comms Service Provider
8%
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.
913,683 professionals have used our research since 2012.