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Datadog vs Lumigo comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

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 Application Performance Monitoring (APM) and Observability
1st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (2nd), IT Infrastructure Monitoring (1st), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (6th), AI Observability (1st)
Lumigo
Ranking in Application Performance Monitoring (APM) and Observability
55th
Average Rating
7.0
Reviews Sentiment
9.2
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.2%, down from 7.4% compared to the previous year. The mindshare of Lumigo is 0.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.2%
Lumigo0.3%
Other95.5%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
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.
reviewer2900247 - PeerSpot reviewer
Platform Engineer at a consultancy with 11-50 employees
Proactive microservice monitoring has improved alerts while support still needs to grow
The best features Lumigo offers are troubleshooting and alerts. What I appreciate about the troubleshooting and alerts is that while they are similar to other tools, I prefer Lumigo from the UI perspective. Any new member, whether from the development side or business team, finds the user-friendly UI easy to understand. This is the reason I have been recommending it. Lumigo has impacted my organization positively, but we are in a starting phase and have not explored it deeply. Our people need to use this tool more, and we have not yet fully adapted to it.

Quotes from Members

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

Pros

"The logging in general is one of my favorite features."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"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 been able to be a more confident, knowledgeable, and capable team when everything is being ported into a centralized format."
"Datadog has given us near-live visibility across our entire cloud platform."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"Any new member, whether from the development side or business team, finds the user-friendly UI easy to understand."
 

Cons

"In my experience, Datadog is stable, though there's typically at least one or two incidents per week."
"Datadog could be improved if the menu system was a little clearer and less cluttered, making it easier to navigate."
"They could have better log reporting."
"The UI has a lot going on. It should be simpler and have a better way to onboard someone new to using Datadog."
"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."
"I'd like to see more flexibility in the customization and they have a few settings which need to be changed but we are unable to make those changes as users or as the administrator."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."
"I think support needs to be improved."
 

Pricing and Cost Advice

"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 tool is open-source."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"Our licensing fees are paid on a monthly basis."
"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."
"Licensing is based on the retention period of logs and metrics."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Outsourcing Company
8%
Computer Software Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise50
Large Enterprise100
No data available
 

Questions from the Community

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Comparisons

 

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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, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: September 2026.
915,383 professionals have used our research since 2012.