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Datadog vs Logstash comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 13, 2025

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
7.1
Number of Reviews
188
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), IT Infrastructure Monitoring (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
Logstash
Ranking in Log Management
24th
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 October 2025, in the Log Management category, the mindshare of Datadog is 5.7%, down from 6.6% compared to the previous year. The mindshare of Logstash is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
Datadog5.7%
Logstash0.7%
Other93.6%
Log Management
 

Featured Reviews

reviewer820579 - PeerSpot reviewer
Single pane of glass, easy to share dashboards, and good for monitoring
We've had some issues where we had Datadog automatically turned on in AWS regions that we weren't using, which incurred a small but steady cost that amounted to tens of thousands of dollars spent over a few weeks. I wish there was a global setting that lets an admin restrict which regions DD is turned on in as a default setup step. Sometimes, the APM service dashboard link isn't sharable. I click something in the service catalog, and on that service's APM default view, I try to share a link to that with a teammate, and they reach a blank or error screen. I wish there was more organization and detail in the suggestions when I use the query editor. I'm never quite sure when the autofill dropdown shows up if I'm seeing some custom tag or some default property, so I have to know exactly what I'm looking for in order to build a chart. It's hard to navigate and explore using the query autofill suggestions without knowing exactly what tag to look for. It's been a bit hard to understand how data gets sampled or how many data points a particular dashboard value is using. We've had questions over the RUM metrics that we see and we had to ask for help with how values are calculated, bin sizes, etc to get confidence in our data.
PRANIL CHANDARKAR - PeerSpot reviewer
Open-source accessibility and ease of implementation empower adaptable log management
As both a customer and an integrator, I think the best features in Logstash are that people prefer it because it is open to all, as it is an open-source version. The functionality of Logstash is quite easy to implement. I can say that the plugin ecosystem of Logstash is great. I have used some plugins for shell script monitoring and for SQL monitoring, and these are all working well with Logstash. The real-time processing capabilities of Logstash are also pretty fine with the tool. When I use the community edition, I have to do many things manually. If I am using enterprise Elastic, then that is taken care of by the Elastic native machine learning.

Quotes from Members

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

Pros

"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 most valuable aspect of the solution is the APM."
"Real user monitoring gives us invaluable insights into actual user experiences, helping us prioritize improvements where they matter most."
"We have been impressed with the uptime and clean and light resource usage of the agents."
"The initial setup was straightforward from my own experience, helping integrate within the application and service levels."
"The setup cost was minimal."
"We find they have a very helpful alert system."
"Datadog helps us detect issues early on and helps in troubleshooting."
"Everything aligns well with improving our organization."
"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."
"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."
"We have three or four Logstash servers for high availability."
 

Cons

"It would be ideal if the product offered a bit more monitoring from our dashboard."
"In some ways, the tool has a pretty steep learning curve. Discovering the various capabilities available, then learning how to utilize them for particular use cases can be challenging."
"More granular control over dashboard sharing. Timeboard sharing."
"Logging is not a great experience."
"The monitors need improvement."
"In the past two years, there have been a couple of outages."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"The ability to find what you are looking for when starting out could be improved."
"Elastic does not provide proper support for Logstash worldwide, and I rate their technical support as one out of ten."
"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."
"The product needs to improve its compatibility."
"There can be a UI to implement with Logstash. Currently, I have to work with config files and everything."
"Almost all the research can be very bad. We still have a problem with importing the log system."
 

Pricing and Cost Advice

"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."
"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."
"Our licensing fees are paid on a monthly basis."
"The tool is open-source."
"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."
"They prefer monthly subscriptions."
"It has a module-based pricing model."
"The solution's pricing depends on project volume."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
Financial Services Firm
16%
Computer Software Company
12%
Government
9%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise42
Large Enterprise82
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 do you like most about Logstash?
I can collect logs from various data sources, including hardware.
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.
 

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. Logstash and other solutions. Updated: September 2025.
869,760 professionals have used our research since 2012.