Datadog and ThousandEyes are leading products in the monitoring and observability sector. Datadog has the upper hand with its customizable features and extensive cloud integrations that appeal to detailed application metric and log handling needs.
Features: Datadog stands out with cloud integrations, customizable dashboards, and an intuitive tagging system. ThousandEyes provides detailed end-to-end network visibility and comprehensive cloud provider monitoring.
Room for Improvement: Datadog needs to improve its dashboard complexity, integration options, and pricing structure. ThousandEyes requires enhanced application-level monitoring and more dashboard integration.
Ease of Deployment and Customer Service: Datadog supports private, public, and hybrid cloud deployments. ThousandEyes focuses on on-premises and hybrid deployments. Customer service is highly regarded for both, with Datadog noted for knowledgeable teams and ThousandEyes praised for effective support.
Pricing and ROI: Datadog's pricing is considered high due to its features, with users wary of hidden costs. ThousandEyes is moderately priced, providing value for network insights. Both report positive ROI, though scalability costs should be monitored.
We contacted the support team, and they resolved it within a couple of hours.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
Having a dedicated incident alert system for URL alerts would help manage noise and streamline operations, especially during patch upgrades.
The setup cost for Datadog is more than $100.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
The technology itself is generally very useful.
I find the most valuable feature of ThousandEyes is the ability to directly see the client's exact issue.
Product | Market Share (%) |
---|---|
Datadog | 3.1% |
ThousandEyes | 3.4% |
Other | 93.5% |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Company Size | Count |
---|---|
Small Business | 4 |
Midsize Enterprise | 2 |
Large Enterprise | 11 |
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?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.
ThousandEyes is a Network Intelligence platform that delivers visibility into every network an organization relies on, whether public or private. ThousandEyes enables users to optimize application delivery, end-user experience and ongoing infrastructure investments.
With cloud, enterprises can innovate much faster, but the growing number of cloud and SaaS applications means that more apps are being delivered over the Internet. This increases dependence on the Internet, a public “best effort” network, and other third-party infrastructures, substantially reducing the ability of IT teams to predict, visualize and control operational behavior. This results in a chaotic and unmanageable IT environment, making issue resolution a time-consuming ordeal, potentially impacting reputation and revenue. ThousandEyes has innovated an approach based on an unmatched distribution of smart agents across the Internet and enterprise, providing visibility all the way to the end user. ThousandEyes gathers and analyzes massive volumes of Network Intelligence data from all of these vantage points, enabling organizations to solve even their most obscure performance problems in minutes. By using ThousandEyes in the planning and testing phases of cloud adoption, customers can also strategically identify and fix underlying problems before production deployment of business-critical applications.
The ThousandEyes solution is ubiquitous across industry sectors, and since launching in mid-2013, customers have come from a diverse set of industry sectors, which include Silicon Valley technology companies, financial services, healthcare, pharmaceuticals, retail, manufacturing and education.
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