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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
7.0
Number of Reviews
208
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (2nd), 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 April 2026, in the Log Management category, the mindshare of Datadog is 4.1%, down from 6.1% compared to the previous year. The mindshare of Logstash is 0.9%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Datadog4.1%
Logstash0.9%
Other95.0%
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 RUM solution has improved our ability to triage faster and hand more capabilities to our customer support."
"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."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."
"Anything I've wanted to do, I found a way to get it done through Datadog."
"The application performance monitoring is pretty good."
"We've been able to glean from the monitors what servers are down, and can alert the team in Slack."
"Datadog has had a significant positive impact on our organization overall, particularly in visibility, reliability, and cost efficiency, allowing us to centralize metrics, logs, and traces across our cloud, moving from reactive to proactive monitoring, with improvements including faster incident detection and resolution, enhanced service reliability, better cost and resource optimization, and shared dashboards providing the engineering and product teams a single source of truth for system health and performance, thus enhancing our overall observability and operational efficiency."
"I can collect logs from various data sources, including hardware."
"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."
"Logstash has numerous plugins for inputs and outputs, allowing it to work well in environments that do not contain other Elastic components."
"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."
 

Cons

"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 can be improved by addressing billing and spend calculation methods, as it would be better if these were more straightforward."
"The on-premise version is very difficult to upgrade."
"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."
"At times, it can be hard to generate metrics out of logs."
"We need more integration functionality, including certain metrics integration."
"The ease of implementation needs improvement."
"Billing should be more transparent."
"We still have a problem with importing the log system."
"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."
"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."
"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 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."
"While it is an expensive product, I would rate the pricing level at four out of five."
"They prefer monthly subscriptions."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"The tool is open-source."
"It has a module-based pricing model."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
6%
Financial Services Firm
16%
Computer Software Company
8%
Comms Service Provider
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise46
Large Enterprise99
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
Information Not Available
Find out what your peers are saying about Datadog vs. Logstash and other solutions. Updated: April 2026.
886,932 professionals have used our research since 2012.