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Datadog vs Upwind comparison

 

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 Cloud Security Posture Management (CSPM)
5th
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), AI Observability (1st)
Upwind
Ranking in Cloud Security Posture Management (CSPM)
20th
Average Rating
9.6
Reviews Sentiment
8.7
Number of Reviews
2
Ranking in other categories
Vulnerability Management (30th), Container Security (28th), Cloud Workload Protection Platforms (CWPP) (15th), API Security (11th), Cloud-Native Application Protection Platforms (CNAPP) (14th), Cloud Detection and Response (CDR) (7th)
 

Mindshare comparison

As of January 2026, in the Cloud Security Posture Management (CSPM) category, the mindshare of Datadog is 1.9%, up from 1.0% compared to the previous year. The mindshare of Upwind is 2.6%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Security Posture Management (CSPM) Market Share Distribution
ProductMarket Share (%)
Datadog1.9%
Upwind2.6%
Other95.5%
Cloud Security Posture Management (CSPM)
 

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.
GF
Head Of Security Operation And Response at a hospitality company with 1,001-5,000 employees
Gaining Confidence in Cloud Security with Improved Vulnerability Management
In general, I think that Upwind as a product makes a disruption in the concept of shift left; they come with a new approach by the runtime sensor that they made, making life for the AppSec team much easier. It's a good question about the best features Upwind offers, but in general, they build a great product. One feature I can think about is their very strong API, allowing us to export most of the data to crunch and work with it. To me, having a wide API to interact with the data is very important. In general, we use the API to export the asset and then compare it with our findings to improve triage, ensuring we are not missing anything. This is one of the main use cases for the API. Having access to this API changes our team's efficiency dramatically; programmability makes everyone's life much easier. The operation reduces because of the time that analysts need to spend on triaging, and it also minimizes friction with developers, which is something Upwind helps us with. Upwind positively impacts our organization overall by helping with the CIS benchmark for Kubernetes, which is definitely one of the strongest parts. Second, by reducing the number of vulnerabilities, we automatically reduce the number of tickets opened with the dev team, which is a big win. It also helps us to tune our vulnerability program better regarding classification and priority.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
6%
Computer Software Company
13%
Financial Services Firm
13%
Energy/Utilities Company
8%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise99
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 Upwind?
The pricing, setup cost, and licensing process were pretty reasonable.
What needs improvement with Upwind?
Currently, we are working with Upwind on API security, which is something we want them to keep pushing. We also want them to be able to record SSH sessions; it's a tough request.
What is your primary use case for Upwind?
I have several use cases for Upwind. I will start with our private cloud that is based on Kubernetes, so we're using it also for Cloud Detection and Response and also for vulnerability scanning. We...
 

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
StockX, Yotpo, bill, Digital Turbine, nanit, CallRail, boomi
Find out what your peers are saying about Datadog vs. Upwind and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.