Datadog and VMware Aria Operations for Logs are prominent competitors in the monitoring and log management domain. Datadog holds an advantage through ease of use and extensive integration capabilities, while VMware focuses on log centralization within VMware environments.
Features: Datadog offers comprehensive integrations with platforms like AWS, Docker, and Splunk, alongside sharable dashboards and intuitive tagging. Its strength is in user-friendly monitoring and root cause analysis. VMware Aria Operations for Logs provides robust log centralization, personalized dashboards, and strong integration with VMware environments.
Room for Improvement: Datadog users seek better dashboard performance for historical data, enhanced dashboard sharing options, and clearer pricing transparency. VMware could improve third-party integrations, customizable views, and user-friendliness for administrators and smaller companies.
Ease of Deployment and Customer Service: Datadog supports flexible deployment across public, private, and hybrid clouds, with highly praised customer service for quick, comprehensive support. VMware primarily supports on-premises and hybrid deployments, with responsive customer service that could benefit from faster responses and improved support efficiency.
Pricing and ROI: Datadog's usage-based pricing is often seen as expensive, potentially leading to unforeseen costs, though its comprehensive features justify the expense for many. VMware offers a more predictable pricing model, attractive to users within the VMware ecosystem, though high licensing fees for advanced features are a concern.
Customer service and support have declined.
While support staff is knowledgeable, getting access to specialists can be challenging when dealing with the limits of a product.
I did not need technical support because I am a professional with VMware.
Since payment is based on hardware, scalability impacts are managed more effectively than with other tools paid by data volume.
It's relatively easy to find individuals with the skills to work with VMware because it is a widely spread tool.
Its stability is rated one hundred percent according to best practices.
VMware as a whole provides very stable tools.
Managing a lot of data involves reliance on hardware and network performance, which are external factors that can affect stability.
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.
There is also dissatisfaction with Broadcom's broader attitude, which is prompting me to search for alternatives.
VMware Aria Operations for Logs is not a cost-effective tool.
The setup cost for Datadog is more than $100.
The price has risen significantly, and for smaller customers, the cost can be up to ten times more than before.
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.
VMware Aria Operations for Logs is a very stable product.
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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