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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
3rd
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (9th), IT Infrastructure Monitoring (3rd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (2nd), Cloud Security Posture Management (CSPM) (8th), AI Observability (1st)
Lumigo
Ranking in Application Performance Monitoring (APM) and Observability
55th
Average Rating
8.6
Reviews Sentiment
8.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.1%, down from 6.6% compared to the previous year. The mindshare of Lumigo is 0.3%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.1%
Lumigo0.3%
Other95.6%
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.
Vinay Lal - PeerSpot reviewer
Head of Testing & AVP at Flash AI
Distributed tracing has transformed our testing workflows and now uncovers hidden failures fast
The best features Lumigo offers include the live stream architecture and transaction mapping, which helps to automatically generate and update the visual execution topology for every single test transaction. After seeing the exact flow from the edge API through intermediate queues and containerized microservices down to managed storage, it gives our QA engineers instant context. Additionally, I love the request-response payload inspection feature, which captures input and output parameters, request headers, and invocation payload safely. When an automated integration test fails, the exact offending payload is visible right inside the trace, helping to save our QA and engineering teams a lot of time, leading to at least a 48.33% drop in wasted time previously spent finding the root cause. With automation saved, automated root cause correlation has helped to correlate logs, metrics, and trace spans across asynchronous boundaries, which is notoriously difficult to debug in event-driven AI pipelines. The live stream architecture and transaction mapping make such a difference for my team, as it generates updates regularly via visual execution and the topology for every single test transaction, providing us with a view through intermediate queues and microservices to managed storage, giving engineers instant context of transactions and payloads, which saves at least 49% of our time and allows overall resources to be used more effectively. Regarding Lumigo's AI capabilities, I find the governance of security to be really good, and we have seen a positive impact due to the AI capabilities alongside strict compliance regulations such as SOC 2 and ISO 27001, proving it is compliant with applicable regulations and policies. Lumigo's accuracy is close to 100%, making it very reliable. Lumigo integrates seamlessly with other AWS services we use, and we have not faced any issues.

Quotes from Members

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

Pros

"It is a good one stop location where we keep all our data for our infrastructure, and it's also easier to navigate between different things."
"Datadog is far better than any other monitoring tool in introducing any of the new capabilities because they think before Amazon AWS and Microsoft Azure before they introduce the concepts."
"We rely heavily on the API crawlers that Datadog uses for cloud integrations. These allow us to pick up and leverage the tags teams have already deployed without having also to make them add them at the agent level."
"We find they have a very helpful alert system."
"The most valuable aspects of the product include the APM and profiler."
"I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."
"Datadog was a way simpler solution to setting up browser and API tests quickly."
"The interface and the integrations make it so easy to connect to the cloud or to the on-premise environment."
"Any new member, whether from the development side or business team, finds the user-friendly UI easy to understand."
"Lumigo has positively impacted our organization with transformative ROI for our quality engineering and delivery cycles, where the meantime to defect and resolve due to debugging failed end-to-end integration test runs has dropped over 68.3%."
 

Cons

"Users need to be aware of licensing control. With autodiscovery, the product can begin to come at a high cost."
"If there were a more cost-effective manner of deploying the tool, we'd be more likely to adopt it more widely."
"I often have issues with the UI in my browser."
"While the UI and search functionality are excellent, further improvement could be made in the querying of logs by offering more advanced templates or suggestions based on common use cases."
"The ability to find what you are looking for when starting out could be improved."
"The cost is pretty high."
"They need to implement template variables into the message response body."
"Stability of the product has been a concern for us outside of the primary monitoring agents."
"I think support needs to be improved."
 

Pricing and Cost Advice

"The solution is fairly priced but history and log storage can get costly depending on your needs."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"Our licensing fees are paid on a monthly basis."
"While it is an expensive product, I would rate the pricing level at four out of five."
"The cost is high and this can be justified if the scale of the environment is big."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"This solution is budget friendly."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
10%
Outsourcing Company
8%
Comms Service Provider
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

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 is your experience regarding pricing and costs for Lumigo?
My experience with pricing, setup cost, and licensing was good, and I rate it ten out of ten.
What needs improvement with Lumigo?
I think support needs to be improved. Lumigo can be improved particularly in support. When comparing it with AWS monitoring, Dynatrace, or other solutions, if we encounter any trouble, everyone loo...
What is your primary use case for Lumigo?
My main use case for Lumigo is microservice monitoring in my day-to-day experience. A specific example of how I use Lumigo for microservice monitoring involves comparing it to other tools such as D...
 

Comparisons

 

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
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Find out what your peers are saying about Splunk, Dynatrace, Datadog and others in Application Performance Monitoring (APM) and Observability. Updated: October 2026.
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