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Datadog vs Logz.io comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 19, 2025

Review summaries and opinions

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

ROI

Sentiment score
6.5
Organizations experience significant cost efficiency and improved reliability with better debugging, proactive monitoring, and infrastructure optimization.
Sentiment score
7.1
Logz.io improved monitoring efficiency, reduced costs, streamlined operations, enhanced analytics, and increased user satisfaction, boosting productivity and savings.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
 

Customer Service

Sentiment score
6.7
Datadog support is praised for responsiveness and expertise, though some report variability in response time and communication issues.
Sentiment score
1.0
Customers appreciate Logz.io's proactive onboarding, helpful filters, and dashboards but desire more accessible technical support and quicker follow-up.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
 

Scalability Issues

Sentiment score
7.6
Datadog offers excellent scalability and integration, but costs can rise without careful monitoring; users praise its efficiency.
Sentiment score
6.0
Logz.io's scalability is praised for handling data efficiently, accommodating team sizes, and maintaining performance despite minor log event issues.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its stability, reliable uptime, minimal disruptions, and quick incident responses, ensuring consistent monitoring.
Sentiment score
7.2
Logz.io is highly rated for stability, with reliable performance, prompt issue resolution, and effective support and notifications.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
These incidents are related to log service, indexes, and metric capturing issues.
 

Room For Improvement

Datadog needs improvements in query performance, user interface, integrations, documentation, cost management, mobile features, and alert customization.
Logz.io requires release management, better alerting, customer update control, AI-based capacity planning, and improved documentation with affordable pricing.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
 

Setup Cost

Enterprise users find Datadog's pricing high yet reasonable, with monitoring needed due to usage-based billing and potential cost variability.
Enterprise users value Logz.io's transparent pricing, cost-effectiveness, and flexibility despite higher costs for large data volumes.
The setup cost for Datadog is more than $100.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
 

Valuable Features

Datadog offers insights, monitoring, and alerting with customizable dashboards for efficient issue resolution and enhanced performance optimization.
Logz.io offers auto-scaling, AI Insights, log analysis, open-source tech, seamless integration, cost-efficiency, flexible billing, and optimized dashboards.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
 

Categories and Ranking

Datadog
Ranking in Log Management
4th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
207
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), IT Infrastructure Monitoring (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
Logz.io
Ranking in Log Management
32nd
Average Rating
8.2
Reviews Sentiment
5.0
Number of Reviews
8
Ranking in other categories
Security Information and Event Management (SIEM) (40th)
 

Mindshare comparison

As of November 2025, in the Log Management category, the mindshare of Datadog is 5.4%, down from 6.4% compared to the previous year. The mindshare of Logz.io is 0.6%, 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 (%)
Datadog5.4%
Logz.io0.6%
Other94.0%
Log Management
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
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.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
Computer Software Company
14%
Financial Services Firm
12%
Comms Service Provider
12%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise95
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise7
 

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.
872,846 professionals have used our research since 2012.