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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
32nd
Average Rating
8.2
Reviews Sentiment
7.5
Number of Reviews
8
Ranking in other categories
Security Information and Event Management (SIEM) (40th)
 

Mindshare comparison

As of September 2025, in the Log Management category, the mindshare of Datadog is 5.8%, down from 6.9% 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 (%)
Datadog5.8%
Logz.io0.5%
Other93.7%
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

"APM is great and has provided low-effort out-of-the-box observability for various services."
"The solution allows flexibility and heightened observability for presenting data, creating indicators, and setting service-level objectives."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"The most valuable features are the dashboards and the reporting."
"The pricing model makes more sense than what we paid for against other competitors."
"Log management is a great way for me to identify changes in behavior across services and environments as we make changes or as user behavior evolves."
"Datadog has helped us a ton by allowing us to set up a multitude of easily configurable alarms across our tech stack and infrastructure."
"We have found that we're able to get in and out of troubleshooting issues much more rapidly, which in turn, of course, enables us to spend more time on our products."
"The tool is simple to setup where it is just plug and play. The tool is reliable and we never had any performance issues."
"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."
"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."
"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."
"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."
"We use the product for log collection and monitoring."
"The query mechanism for response codes and application health is valuable."
 

Cons

"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"I like the idea of monitoring on the go yet it seems the options are still a bit limited out of the box."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"The query performance could be improved, particularly when handling large datasets, as slower response times can hinder efficiency."
"We need more integration functionality, including certain metrics integration."
"We did have an issue where a synthetic test was set up before the holiday break, and we were quickly charged a great amount. Our team worked with Datadog, and they were able to help us out since it was inadvertent on our end and was a user error."
"I like the idea of monitoring on the go, however, it seems the options are still a bit limited out of the box."
"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."
"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 product needs improvement from a filtering perspective."
"Capacity planning could be a little bit of a struggle."
"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."
"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."
"The solution needs to expand its access control and make it accessible through API."
"The price can be cheaper and they should have better monitoring."
 

Pricing and Cost Advice

"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"While it is an expensive product, I would rate the pricing level at four out of five."
"It has a module-based pricing model."
"It didn't scale well from the cost perspective. We had a custom package deal."
"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."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"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."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"The tool is an open source product."
"The product's pricing is cheaper than other solutions."
"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 is a little expensive."
"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
Financial Services Firm
14%
Computer Software Company
14%
Manufacturing Company
8%
Healthcare Company
5%
Computer Software Company
13%
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: September 2025.
867,676 professionals have used our research since 2012.