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Datadog vs Logz.io 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
187
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) (8th)
Logz.io
Ranking in Log Management
21st
Average Rating
8.2
Reviews Sentiment
7.5
Number of Reviews
8
Ranking in other categories
Security Information and Event Management (SIEM) (22nd)
 

Mindshare comparison

As of May 2025, in the Log Management category, the mindshare of Datadog is 6.0%, down from 8.0% compared to the previous year. The mindshare of Logz.io is 0.4%, down from 0.5% 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.
Derrick Brockel - PeerSpot reviewer
The solution is a consistent logging platform that provides excellent query mechanisms
We can query a lot of data points and build dashboards. The vendor is good at adjusting their models. Most companies want us to forecast our yearly use and pay it upfront on day one. With Logz.io, we commit to use 14 TB in a year. However, they measure us every month and give us a monthly bill. Depending on our monthly usage, we pay for 14 TB divided by 12 months or a little extra. It's a little bit more like AWS. Other solutions do not do it. They want their money upfront. We really like the dashboards. We have 36 sub-accounts. Each sub-account is an app, and we could put restrictions on that app. Previously, there were capacity restrictions on the sub-accounts. If we have a sub-account of 1 TB and use only 100 GB, we waste 900 GB that day. We could not share it between sub-accounts. Now, they provide an overhead volume. We do a reserve, and any sub-account could use anything over the reserve. It utilizes our footprint better.

Quotes from Members

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

Pros

"The centralized pipeline tracking and error logging provide a comprehensive view of our development and deployment processes, making it much easier to identify and resolve issues quickly."
"The solution has offered increased visibility via logging APM, metrics, RUM, etc."
"It has enhanced the performance of my team."
"The ingestion points are unlimited and support customization. We haven't had anything yet that we haven't been able to integrate with it."
"It helps us better manage our logs."
"The installation step is pretty straightforward."
"Synthetic testing has been a game-changer, allowing us to catch potential problems before they impact real users."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"The query mechanism for response codes and application health is valuable."
"It is massively useful and great for testing. We can just go, find logs, and attach them easily. It has a very quick lookup. Whereas, before we would have to go, dig around, and find the server that the logs were connected to, then go to the server, download the log, and attach it. Now, we can just go straight to this solution, type in the log ID and server ID, and obtain the information that we want."
"InsightOne is the main reason why we use LogMeIn. This is mostly because of log data that we are pushing tools and logs in general."
"The visualizations in Kibana are the most valuable feature. It's much more convenient to have a visualization of logs. We can see status really clearly and very fast, with just a couple of clicks."
"The tool is simple to setup where it is just plug and play. The tool is reliable and we never had any performance issues."
"We use the tool to track the dev and production environment."
"The other nice thing about Logz.io is their team. When it comes to onboarding, their support is incredibly proactive. They bring the brand experience from a customer services perspective because their team is always there to help you refine filters and tweak dashboards. That is really a useful thing to have. Their engagement is really supportive."
"We use the product for log collection and monitoring."
 

Cons

"Datadog needs more local Asia-Pacific support, and if they don't have a SaaS solution in Asia-Pacific, they should offer an on-prem version. I'm told that's not possible."
"While the documentation is very good, there are areas that need a lot of focus to pick up on the key details."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"We have asked technical support questions, and sometimes they don't get back to us right away. Or when they do, it is not the right answer."
"The FinOps needs improvement."
"Stability of the product has been a concern for us outside of the primary monitoring agents."
"I find the setup cost to be too expensive. The setup cost for Datadog is more than $100. I am evaluating the usage of this solution, however, it is too expensive."
"There are things about it that we would like to be fixed, such as it is taking averages of average. This results in data that we don't expect."
"The solution needs to improve its data retention. It should be greater than seven days. The product needs to improve its documentation as well."
"The price can be cheaper and they should have better monitoring."
"I would like them to improve how they manage releases. Some of our integrations integrate specifically with set versions. Logz.io occasionally releases an update that might break that integration. On one occasion, we found out a little bit too late, then we had to roll it back."
"The product needs improvement from a filtering perspective."
"The solution needs to expand its access control and make it accessible through API."
"When it comes to reducing our troubleshooting time, it depends. When there are no bugs in Logz.io, it reduces troubleshooting by 5 to 10 percent. When there are bugs, it increases our troubleshooting time by 200 percent or more."
"I would like granularity on alerting so we can get tentative alerts and major alerts, then break it down between the two."
"Capacity planning could be a little bit of a struggle."
 

Pricing and Cost Advice

"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."
"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 price is better than some competing products."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."
"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."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"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 product's pricing is cheaper than other solutions."
"The product is a little expensive."
"At the time it was set up, we thought Logz.io was very reasonable for what we were getting in terms of how much time and hosting costs it was saving us, because you don't have to run the servers for it anymore."
"The tool is an open source product."
"You pay for what you need, and that is a good model. They are also quite happy to talk to you about your uses and your use case. They will even go as far as suggesting things that you don't need to do in order to save you money. At one point, I was quite surprised at how cheap it could be if we wanted it to be or how much they would help us manage our costs."
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Top Industries

By visitors reading reviews
Educational Organization
27%
Computer Software Company
12%
Financial Services Firm
11%
Manufacturing Company
6%
Computer Software Company
18%
Financial Services Firm
13%
Comms Service Provider
11%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 Logz.io?
The query mechanism for response codes and application health is valuable.
What is your experience regarding pricing and costs for Logz.io?
The product is a little expensive. We're pushing 17 TB. It costs us one and a half million dollars a year.
What needs improvement with Logz.io?
Capacity planning could be a little bit of a struggle. The product must add some AI capabilities to learn from previous behaviors. Instead of us setting thresholds, the tool should learn the thresh...
 

Comparisons

 

Also Known As

No data available
Logz
 

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
Dish Network, The Economist, Forbes, Holler, Kenshoo, OneSpan, Siemens, Sisense, Unity, ZipRecruiter
Find out what your peers are saying about Datadog vs. Logz.io and other solutions. Updated: April 2025.
851,604 professionals have used our research since 2012.