Datadog and vRealize Network Insight compete in the network monitoring and analytics category. Datadog seems to have the upper hand due to its comprehensive monitoring, intuitive dashboard creation, and seamless integrations with a wide range of cloud providers and applications.
Features: Datadog's key features include an intuitive dashboard for easy monitoring, comprehensive alerting systems, and automated anomaly detection. It offers seamless integrations with many cloud providers that enhance its usability across diverse platforms. vRealize Network Insight excels in visualizing network flows, offering deep insights into network behaviors. It is particularly strong in network monitoring and troubleshooting, providing detailed visual insights into traffic and application interactions.
Room for Improvement: Datadog users highlight the need for enhanced real-time analytics and support for frontend and mobile applications. Issues like interface slowness and a steep learning curve for certain features are noted. Users also desire finer-grained control over feature costs. vRealize Network Insight could improve by offering more seamless integrations with non-VMware products and a more intuitive setup process. Enhancing interoperability across various vendor technologies is suggested to broaden its applicability.
Ease of Deployment and Customer Service: Datadog is praised for its ease of deployment in cloud environments, especially the public cloud, along with its proactive customer service. While technical support is generally responsive, some mention variability in the quality of assistance. vRealize Network Insight performs well in on-premises deployments, providing solid support but sometimes requiring more technical engagement for troubleshooting, affecting deployment speed.
Pricing and ROI: Datadog's pricing is perceived as competitive but complex, often leading to challenges in cost predictability due to its usage-based model. Users see value in its features despite potential unexpectedly high costs. vRealize Network Insight is viewed as expensive but fairly priced given its insights. ROI for both solutions often correlates with reduced troubleshooting time and increased system reliability. Concerns are raised over vRealize Network Insight's rising costs following Broadcom's acquisition.
It's difficult to find necessary documentation, open tickets, and get support.
We are paying too much for technical support from VMware.
We are managing that one but usually we have an API connector between our firewall vendor and our VMware NSX.
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.
Broadcom should improve by going back to what was working before, offering the suite of tools that clients actually use, and allowing clients to decide the best options for them.
The setup cost for Datadog is more than $100.
Broadcom is known for increasing product prices, making them expensive compared to what people used to pay.
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.
One of the biggest problems with VMware NSX is logging, and vRealize Network Insight helps by providing comprehensive logs.
Product | Market Share (%) |
---|---|
Datadog | 5.0% |
vRealize Network Insight | 0.5% |
Other | 94.5% |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Company Size | Count |
---|---|
Small Business | 11 |
Midsize Enterprise | 9 |
Large Enterprise | 41 |
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.
VMware vRealize Network Insight delivers intelligent operations for software-defined networking and security. It helps customers build an optimized, highly-available and secure network infrastructure across multi-cloud environments. It accelerates micro-segmentation planning and deployment, enables visibility across virtual and physical networks and provides operational views to manage and scale VMware NSX deployments.
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