CloudVision vs Datadog comparison

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CloudVision

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Executive SummaryUpdated on Jan 25, 2026

Datadog and CloudVision are competitive products in the realm of monitoring and analytics. Datadog has the upper hand for its flexibility and robust integration capabilities, appealing to organizations requiring comprehensive monitoring solutions, while CloudVision is preferred by businesses prioritizing seamless network management due to its network visibility and automation features.

Features: Datadog provides real-time monitoring, log management, and customizable dashboards for various IT needs. CloudVision focuses on network path analysis, telemetry, and deep insights into network operations.

Ease of Deployment and Customer Service: Datadog offers cloud-based deployment for quick setup and scalability with extensive support. CloudVision involves more specialized deployment with a learning curve but offers dedicated support for network configurations.

Pricing and ROI: Datadog's pricing model is premium but cost-effective with its extensive service suite and flexibility. CloudVision offers a tiered pricing structure aligned with specialized network functionalities, providing valuable ROI for businesses focusing on network efficiency.

To learn more, read our detailed CloudVision vs. Datadog Report (Updated: December 2025).

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CloudVision vs. Datadog

December 2025

Helped 881,114 peers since 2012

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

29th

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Datadog

Ranking in Cloud Monitoring Software

2nd

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), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)

Mindshare comparison

As of January 2026, in the Cloud Monitoring Software category, the mindshare of CloudVision is 0.3%, up from 0.1% compared to the previous year. The mindshare of Datadog is 6.7%, down from 11.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Monitoring Software Market Share Distribution
Product	Market Share (%)
Datadog	6.7%
CloudVision	0.3%
Other	93.0%

Cloud Monitoring Software

Featured Reviews

Nimit Puvar

AVP 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.

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Dhroov Patel

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.

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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."

"Log analytics give us a powerful mechanism for error tracking, research, and analysis."

"The CCM, Workflows, Logs, APM, and RUM are all useful aspects of the solution."

"The platform appeals to companies spanning many industries on a global scale."

"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."

"The solution's SaaS model is easy to manage and works well in single- or multi-cloud environments."

"The technology itself is generally very useful and the interface is great."

"Datadog has impacted my organization positively as this is our main observability tool when it comes to monitoring services, traces, and all resources within key services."

"When I reflect on the ways we used to track down issues, I can't imagine how we ever managed before Datadog."

More Datadog pros

Cons

"CloudVision could have a user-friendly interface."

"Arista currently provides their solution for their own Arista products only. A problem occurs because customers do not have only Arista products."

"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."

"All solutions have some area to improve, and in Datadog they can improve their overall technology moving forward."

"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."

"Graph filters for logs need to be set manually which works well for JSON but not for unstructured logs."

"The ease of implementation needs improvement."

"Datadog's roadmap can be a bit unpredictable at times."

"The product is quite complex, and there are so many features that I either didn't know about or wasn't sure how to use."

"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."

More Datadog cons

Pricing and Cost Advice

"CloudVision is an expensive product. We purchase its yearly license."

"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."

"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."

"Pricing seemed easy until the bill came in and some things were not accounted for."

"The cost is high and this can be justified if the scale of the environment is big."

"Our licensing fees are paid on a monthly basis."

"Licensing is based on the retention period of logs and metrics."

"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."

"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."

More Datadog pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Monitoring Software solutions are best for your needs.

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881,114 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	80
Midsize Enterprise	46
Large Enterprise	99

Questions from the Community

What needs improvement with CloudVision?

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 ...

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Product Reports

Cloud Monitoring Software

December 2025

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January 2026

Overview

CloudVision offers advanced network visibility and management, designed to enhance operational efficiency for tech-savvy businesses. Its innovative approach caters to dynamic environments, ensuring seamless experiences.

CloudVision is tailored for enterprises needing consistent network performance and robust analytics. It provides comprehensive visibility into network operations, allowing businesses to monitor, manage, and optimize their environments effectively. Users benefit from its seamless integration capabilities, providing a centralized view of the entire network. The platform's adaptability ensures it meets the growing demands of modern IT infrastructures.

What are the key features?

Network Automation: Simplifies repetitive tasks with automated processes.
Real-time Analytics: Offers detailed insights to improve decision-making.
Scalability: Easily adapts to growing network demands.
Seamless Integration: Combines with existing systems for enhanced functionality.
Simple Setup: Quick deployment process minimizes downtime.

What benefits should users examine?

Cost Efficiency: Reduces operational costs with automated solutions.
Improved Performance: Enhances network reliability to support critical operations.
Time Savings: Frees up resources for strategic tasks by automating routine work.
Increased Visibility: Provides comprehensive monitoring for proactive management.
Enhanced Security: Mitigates risks with real-time threat detection.

In financial services, CloudVision streamlines data flow, ensuring transactions remain secure and uninterrupted. Healthcare institutions leverage it for reliable patient data management, enhancing service delivery. Its adoption in retail enables seamless connectivity across multiple locations, improving customer experiences.

Arista

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

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