Datadog and Azure Bastion compete in the cloud services market. Datadog holds an upper hand due to its extensive feature set and superior integration capabilities, although Azure Bastion offers distinct security advantages.
Features: Datadog provides extensive cloud-hosted monitoring capabilities with seamless integration into existing infrastructures. It features sharable dashboards, anomaly detection, and integrations with a variety of public cloud services. Azure Bastion offers secure RDP and SSH connectivity for Azure virtual machines, eliminating the need for public IPs and jump servers while significantly reducing attack surfaces.
Room for Improvement: Datadog could improve its pricing flexibility and user interface, particularly concerning query complexities and integration options. Users desire enhancements in performance metrics display and AI-driven analytics. Azure Bastion needs to move beyond its browser-based limitations, improve copy-paste functionality, increase browser compatibility beyond Edge, and enhance protocol speed, and direct data transfers.
Ease of Deployment and Customer Service: Datadog is adaptable across public, private, and hybrid cloud environments and offers comprehensive customer support, though some users report service delays in the Asia-Pacific region. Azure Bastion provides seamless cloud integration and is praised for its proactive and responsive customer support, although it needs better alignment with Datadog's technical support depth.
Pricing and ROI: Datadog has higher pricing, often requiring careful cost management, yet it delivers substantial ROI through integration efficiencies and operational benefits. Azure Bastion is more competitively priced, benefiting larger-scale implementations and offering significant ROI through affordable secure infrastructure management.
We have noticed savings of approximately twenty percent by using Azure Bastion compared to VM pricing.
Support is satisfactory but with room for improvement, primarily concerning data transfer issues.
We usually get backup within two hours.
It is designed to provide access over a private network without hitting the internet.
Azure Bastion is stable.
I would like to see integrated AI features with Azure Bastion, especially for connectivity issues.
A storage solution must be created to transfer data, and this requires additional permissions like ACL or NFS.
It would be nice to have the capability to cut and paste across desktops, similar to old-fashioned Remote Desktop emulation.
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.
Microsoft's pricing is on the higher side and could be more competitive.
The price is not necessarily cheaper, but it is acceptable.
The setup cost for Datadog is more than $100.
It offers a secure platform to access resources over a private network without hitting the internet.
The security is the main reason we use Azure Bastion because it is integrated with Azure Active Directory, ensuring that access is secure.
We use Azure AD integration to specify who has access and what they can do.
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.
Azure Bastion is a service you deploy that lets you connect to a virtual machine using your browser and the Azure portal. The Azure Bastion service is a fully platform-managed PaaS service that you provision inside your virtual network. It provides secure and seamless RDP/SSH connectivity to your virtual machines directly from the Azure portal over TLS. When you connect via Azure Bastion, your virtual machines do not need a public IP address, agent, or special client software.
Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.
Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.
What are the key features of Datadog?
What benefits and ROI should users look for in reviews?
Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.
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