Datadog and LogicMonitor compete in the monitoring solutions category, with Datadog generally considered having a broader range of integrations and flexibility.
Features: Datadog provides comprehensive features such as sharable dashboards, intuitive tag usage, extensive metric monitoring, seamless integrations, and real-time alerts, all contributing to an effective monitoring ecosystem. LogicMonitor is known for its customized dashboards, robust alerting system, and the ability to monitor a wide variety of devices and services.
Room for Improvement: Datadog users often point to the need for better performance with large datasets, enhanced real-time metrics insight, and improved analytics documentation. LogicMonitor could benefit from better log management, more granular permissions, and enhancements in automation and mapping features.
Ease of Deployment and Customer Service: Datadog is favored for public cloud deployments with comprehensive documentation and proactive support, though ticket resolution speed can be an issue. LogicMonitor is appreciated for its real-time support and straightforward deployment in both public and hybrid cloud environments, though some users desire more thorough customer service.
Pricing and ROI: Datadog is often seen as costly, with a usage-based pricing model that can increase quickly. However, its extensive feature set can justify the cost for large users, with significant ROI from enhanced monitoring capabilities. LogicMonitor offers competitive pricing and a straightforward licensing model, valued for reducing false errors, downtime, and being cost-effective compared to traditional solutions.
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.
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.
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.
LogicMonitor provides infrastructure and network monitoring, alerting, and reporting across environments like AWS, Azure, and on-premises.
LogicMonitor aids businesses and managed service providers in maintaining system health, performance, and availability. It supports various technologies including Citrix, Cisco Voice systems, operating systems, virtual machines, and network devices. Businesses benefit from dashboards and data insights for proactive management, customizable data sources, and integration with third-party applications like Slack or ServiceNow. AI technology enhances monitoring capabilities by recognizing normal behavior and updating monitored elements, while multiple monitoring features consolidate data sources into one interface.
What are LogicMonitor's key features?
What benefits or ROI should users expect?
LogicMonitor is utilized across diverse industries by managed service providers to ensure seamless monitoring and management of clients' systems. This includes application performance monitoring, manual topology mapping, SLA calculations, and improvement of role-based permissions. Companies also seek enhanced resources view, better collector upgrade processes, and streamlined customization for monitoring from the repository.
We monitor all IT Infrastructure Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.