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CloudVision vs Datadog 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

CloudVision
Ranking in Cloud Monitoring Software
47th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Datadog
Ranking in Cloud Monitoring Software
1st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Application Performance Monitoring (APM) and Observability (3rd), Network Monitoring Software (9th), IT Infrastructure Monitoring (3rd), Log Management (4th), Container Monitoring (3rd), AIOps (2nd), Cloud Security Posture Management (CSPM) (8th), AI Observability (1st)
 

Mindshare comparison

As of November 2026, in the Cloud Monitoring Software category, the mindshare of CloudVision is 0.5%, up from 0.2% compared to the previous year. The mindshare of Datadog is 5.3%, down from 8.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Monitoring Software Mindshare Distribution
ProductMindshare (%)
Datadog5.3%
CloudVision0.5%
Other94.2%
Cloud Monitoring Software
 

Featured Reviews

NimitPuvar - PeerSpot reviewer
A VP Enterprise Sales at Ashtech Infotech (India) Pvt.Ltd.
Clients experience effective network management and comprehensive monitoring
Arista currently provides their solution for their own Arista products only. A problem occurs because customers do not have only Arista products. Sometimes they have different kinds of products available in their network. For monitoring that network, they have to either procure more solutions from third parties or they have to procure the provider OEM to manage their switches. If Arista can integrate third-party switches for monitoring purposes, it will be beneficial for the customers. Arista and other competitors such as Cisco or HPE Aruba have their own benefits. Cisco and Aruba face the challenge of having multiple OS for networking their products, whereas Arista has a single OS across their products. This is very beneficial for customers as they only have to manage a single OS.
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.

Quotes from Members

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

Pros

"The product provides a central management feature. It helps in eliminating human errors. It doesn't have a lot of bugs for software."
"A single point of management and monitoring, as well as upgradation and update is valuable."
"Datadog has impacted our organization positively in a major way because not even just as a QA engineer having access to the real-time replay, but just as a team, all of us being able to access this data and see what parts of our system are causing the most errors or resulting in the most frustration with users."
"The interface and the integrations make it so easy to connect to the cloud or to the on-premise environment."
"The technology itself is generally very useful and the interface is great."
"Watchdog is a favorite feature among a lot of the devs. It catches things they didn't even know were an issue."
"The most valuable feature of Datadog is its logs, as we can use the logs to conduct analysis and root cause analysis."
"Datadog was a way simpler solution to setting up browser and API tests quickly."
"The flexibility to create notebooks and dashboards and fully customize them gives us a lot of power to track the exact services and endpoints we are working on."
"We have been able to set very specific CPU and memory alerts, at the very base level, then we started to pull real business value, like 99th percentile response rates for our API calls."
 

Cons

"Arista currently provides their solution for their own Arista products only. A problem occurs because customers do not have only Arista products."
"CloudVision could have a user-friendly interface."
"Datadog's roadmap can be a bit unpredictable at times."
"Billing should be more transparent."
"The real issue with this product is cost control."
"When I started using it years ago, it had stability problems. I remember, specifically, we ran everything in Docker containers. There were some problems getting it into a Docker container with very specific memory limits."
"I sometimes log in and see items changed, either in the UI or a feature enabled. To see it for the first time without proper communication can sometimes come as a shock."
"At the beginning, when we started throwing logs at it, there was a bit of hiccup. However, this was during their beta period, so hiccups were expected."
"The pricing nowadays is quite complex."
"If I could change one thing about Datadog, it would be the pricing, as it has extraordinary functionality, but the pricing is somewhat expensive, and as we increase the number of servers and monitoring services, the cost increases."
 

Pricing and Cost Advice

"CloudVision is an expensive product. We purchase its yearly license."
"CloudVision is an expensive product. We purchase its yearly license."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"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."
"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."
"This solution is budget friendly."
"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"The cost is high and this can be justified if the scale of the environment is big."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Manufacturing Company
10%
Outsourcing Company
8%
Comms Service Provider
7%
 

Company Size

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

Questions from the Community

What needs improvement with CloudVision?
Arista currently provides their solution for their own Arista products only. A problem occurs because customers do not have only Arista products. Sometimes they have different kinds of products ava...
What is your primary use case for CloudVision?
We are using the same products. We implement CloudVision, but have not implemented the security portion of that.
What advice do you have for others considering CloudVision?
It depends upon the nature of the business of the customers. If a customer is in the finance sector and they require very fast reply time, then they have a larger benefit compared to normal manufac...
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 ...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
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
Find out what your peers are saying about CloudVision vs. Datadog and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.