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Datadog vs Logz.io 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
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 (4th), IT Infrastructure Monitoring (2nd), Container Monitoring (1st), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)
Logz.io
Ranking in Log Management
34th
Average Rating
8.2
Reviews Sentiment
7.5
Number of Reviews
8
Ranking in other categories
Security Information and Event Management (SIEM) (38th)
 

Mindshare comparison

As of August 2025, in the Log Management category, the mindshare of Datadog is 6.0%, down from 7.1% compared to the previous year. The mindshare of Logz.io is 0.5%, 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 (%)
Datadog6.0%
Logz.io0.5%
Other93.5%
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.
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 ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents."
"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"Datadog agents act as an integration to different services, providing easy access and management."
"The Datadog suite has allowed us to easily integrate log collection into all of our services and quickly detect unexpected changes in system data to declare security incidents."
"Datadog's seamless integration with Slack and PagerDuty helped us to receive alerts right to the most common notification methods we use (our mobile devices and Slack)."
"The ease of graph building is nice, and MUCH easier than Prometheus."
"The ease of use allowed me to get up to speed with log management since it's my first time using Datadog."
"The most valuable aspects of the solution include log search to help triage specific problems that we get notified about (whether by alerts we have configured or users that have contacted us)."
"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 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."
"We use the tool to track the dev and production environment."
"The query mechanism for response codes and application health is valuable."
"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."
"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."
 

Cons

"A big problem with Datadog is the billing. They need to make the billing more user-friendly."
"One area where I was really looking for improvement was the CSPM product line. I had really wanted to have team-level visibility for findings, since the team managing the resources has much more context and ability to resolve the issue, as the service owner. However, this has been added to the announcement in a recent keynote."
"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."
"There could be more easily identifiable documentation on how to find different things on the platform."
"It seems that admin cost control granularity is an afterthought."
"Deploying the agents is still very manual."
"It is far too easy to run up huge unexpected costs."
"I've only been using Datadog for a few months, and at first, it was frankly overwhelming in terms of both the UI and the available capabilities."
"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."
"Capacity planning could be a little bit of a struggle."
"The product needs improvement from a filtering perspective."
"I would like granularity on alerting so we can get tentative alerts and major alerts, then break it down between the two."
"The price can be cheaper and they should have better monitoring."
"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 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."
 

Pricing and Cost Advice

"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"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."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"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."
"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."
"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 solution is fairly priced but history and log storage can get costly depending on your needs."
"The solution's pricing depends on project volume."
"The tool is an open source product."
"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 product's pricing is cheaper than other solutions."
"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."
"The product is a little expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
14%
Manufacturing Company
8%
Healthcare Company
6%
Computer Software Company
15%
Comms Service Provider
12%
Financial Services Firm
11%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise42
Large Enterprise82
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise6
 

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: July 2025.
866,286 professionals have used our research since 2012.