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Datadog vs Logstash comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 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
3rd
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 (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)
Logstash
Ranking in Log Management
33rd
Average Rating
9.0
Reviews Sentiment
6.5
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Log Management category, the mindshare of Datadog is 6.1%, down from 8.3% compared to the previous year. The mindshare of Logstash is 0.5%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management
 

Featured Reviews

Kevin Palmer - PeerSpot reviewer
Useful log aggregation and management with helpful metrics aggregation
Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.
Mustafa Husny - PeerSpot reviewer
Helps to collect logs from various data sources, including hardware
I use Logstash primarily for connecting logs from hardware. This is the main use case. The second use case involves making correlations between logs from various sources.  I can collect logs from various data sources, including hardware. The product needs to improve its compatibility.  I rate…

Quotes from Members

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

Pros

"The most valuable aspect is the APM which can monitor the metrics and latencies."
"The initial setup is very straightforward."
"We rely heavily on the API crawlers that Datadog uses for cloud integrations. These allow us to pick up and leverage the tags teams have already deployed without having also to make them add them at the agent level."
"It has enhanced the performance of my team."
"Thanks to frequent concurrent deployments, the DataDog alerts monitors allow us quickly detect issues if anything occurs."
"It is great that creating an incident is possible from Slack while having all the relevant data in Datadog."
"The solution has helped out organization gain improved visibility."
"We have been able to set very specific CPU and memory alerts, at the very base level, then we started to pull real business value, like 99th percentile response rates for our API calls."
"Everything aligns well with improving our organization."
"We have three or four Logstash servers for high availability."
"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

"At the beginning, when we started throwing logs at it, there was a bit of hiccup. However, this was during their beta period, so hiccups were expected."
"When I started using it years ago, it had stability problems. I remember, specifically, we ran everything in Docker containers. There were some problems getting it into a Docker container with very specific memory limits."
"Graph filters for logs need to be set manually which works well for JSON but not for unstructured logs."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"The UI has a lot going on. It should be simpler and have a better way to onboard someone new to using Datadog."
"We'd like to see more advanced incident management capabilities integrated directly into the platform."
"We need more visibility into the error tracking dashboard."
"Almost all the research can be very bad. We still have a problem with importing the log system."
"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."
 

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."
"​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."
"The price is better than some competing products."
"The tool is open-source."
"Licensing is based on the retention period of logs and metrics."
"They prefer monthly subscriptions."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"While it is an expensive product, I would rate the pricing level at four out of five."
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Top Industries

By visitors reading reviews
Educational Organization
33%
Computer Software Company
11%
Financial Services Firm
11%
Manufacturing Company
6%
Financial Services Firm
18%
Computer Software Company
13%
Government
9%
Educational Organization
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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?
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. Ch...
What is your primary use case for Logstash?
I am considered an expert in Elastic Observability ( /products/elastic-observability-reviews ) in the Middle East. During my experience, I have worked heavily on Logstash ( /products/logstash-38586...
 

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: April 2025.
848,253 professionals have used our research since 2012.