Datadog and VMware Aria Operations for Logs are prominent tools in the monitoring and log management category. Datadog appears to have the upper hand due to its extensive integrations and visualization capabilities that facilitate proactive management and operational diagnostics.
Features: Datadog offers seamless monitoring through sharable dashboards, extensive integrations, and intuitive tagging systems, enhanced by valuable tools like Host Map and Live Process. VMware Aria Operations for Logs provides efficient environment oversight with tight VMware integration and specialized log management capabilities within VMware ecosystems.
Room for Improvement: Datadog could enhance its dashboard sharing controls, query capabilities, and API consistency. Users ask for better notification systems and logging support, as well as cost control and pricing transparency. VMware Aria needs to improve third-party integration, user-friendliness, documentation, and stability, along with potential price reductions to increase attractiveness.
Ease of Deployment and Customer Service: Datadog supports diverse environments with strong technical support and proactive customer service, though communication could improve. VMware Aria is primarily on-premises with robust support, but response times are not as swift as Datadog's.
Pricing and ROI: Datadog's pricing, while flexible, is often critiqued for unpredictability, making it cost-effective for larger organizations but expensive for smaller ones. Its ROI is substantial in performance optimization and bug resolution. VMware Aria offers more predictable pricing, especially when bundled with VMware's suite, with competitive ROI for VMware-centric environments, but high licensing costs remain a concern.
While support staff is knowledgeable, getting access to specialists can be challenging when dealing with the limits of a product.
Since payment is based on hardware, scalability impacts are managed more effectively than with other tools paid by data volume.
Managing a lot of data involves reliance on hardware and network performance, which are external factors that can affect stability.
It has been very stable, and every time I needed it, it was available and working.
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.
It would be beneficial to have a roadmap for these dashboards to ensure consistent functionality.
VMware has a lot of included packages, however, it remains too expensive.
The setup cost for Datadog is more than $100.
Splunk, often paid by the terabytes, becomes expensive quickly if not managed carefully.
VMware comes with a lot of packages, however, it remains too expensive.
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.
This tool also provides greater insight when integrated with VMware infrastructure, making it more precise than other tools.
The most valuable features are log centralization and long-term retention for logs.
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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