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Datadog vs Turbo360 (Formerly Serverless360) 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
Ranking in Cloud Monitoring Software
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), AIOps (1st), Cloud Security Posture Management (CSPM) (6th), AI Observability (1st)
Turbo360 (Formerly Serverle...
Ranking in Application Performance Monitoring (APM) and Observability
68th
Ranking in Cloud Monitoring Software
35th
Average Rating
9.0
Reviews Sentiment
6.9
Number of Reviews
2
Ranking in other categories
Cloud Management (47th), Cloud Cost Management (33rd)
 

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 Turbo360 (Formerly Serverless360) is 0.8%, 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 (%)
Datadog4.2%
Turbo360 (Formerly Serverless360)0.8%
Other95.0%
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.
reviewer1868589 - PeerSpot reviewer
Python Engineer at Msys Technologies
Great topic subscription monitoring, helpful management, and useful for audits
Addition of more monitoring features to Azure Cosmos DB can be a huge help as we use the same as the main database for our applications. One more thing to note is that their support team was always ready to clear all our doubts regarding the product but we feel that it would be much appreciated if they could share with us the required resources to get new customers like us well-versed in traversing through different modules of the product. These are the very few areas where Serverless360 can be improved.

Quotes from Members

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

Pros

"The most valuable feature I have found is the elastic container service."
"We find they have a very helpful alert system."
"Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."
"It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."
"The selection of monitors is a big feature I have been working with."
"The technology itself is generally very useful and the interface is great."
"Datadog is easy to use and easy to deploy, and it's a better solution compared to others on the market in terms of being budget friendly for our customers."
"We have been able to be a more confident, knowledgeable, and capable team when everything is being ported into a centralized format."
"That is exactly where Serverless360 helped us by bringing in both Service Bus management and monitoring under the same hood."
"Service Bus topic subscription monitoring turned out to be the most useful for us."
"Serverless360 transformed the way our organizations manage Azure and hybrid integrations."
"It offers all the core capabilities we need to manage and monitor our Azure services."
 

Cons

"The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"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."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"Alerting timing should be improved to be more fine-tuned and exact."
"It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."
"I often have issues with the UI in my browser. I tend to have a lot of tabs open, yet have issues with it not responding or not showing data."
"We had limitations around RUM and our feature flag provider in Datadog because it's a back-end forward feature flag usage in our Next.js application."
"Addition of more monitoring features to Azure Cosmos DB can be a huge help as we use the same as the main database for our applications."
"The user interface of Serveress360 could be improved a bit to make the platform even easier to use."
 

Pricing and Cost Advice

"The solution is fairly priced but history and log storage can get costly depending on your needs."
"It didn't scale well from the cost perspective. We had a custom package deal."
"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."
"It has a module-based pricing model."
"Licensing is based on the retention period of logs and metrics."
"The tool is open-source."
"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."
"The cost is high and this can be justified if the scale of the environment is big."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Outsourcing Company
8%
Computer Software Company
7%
Construction Company
19%
Financial Services Firm
15%
Comms Service Provider
15%
Outsourcing Company
8%
 

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 ...
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Also Known As

No data available
Serverless360
 

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
MSC, Transalta, Rank Group, RACQ, BBC, Q2 Solutions, Middleway, BUPA, Columbia Sportswear, EDF
Find out what your peers are saying about Datadog vs. Turbo360 (Formerly Serverless360) and other solutions. Updated: October 2026.
917,433 professionals have used our research since 2012.