Datadog and Elastic Stack are leading players in the cloud monitoring and analytics sector. Datadog appears to have the upper hand due to its intuitive and featured-rich platform.
Features: Datadog offers a hosted nature, reducing infrastructure reliance. Its key features include sharable dashboards, a dogstatsd API, and seamless cloud service integration. Elastic Stack excels in search and machine learning capabilities, providing a robust platform for extensive data analysis.
Room for Improvement: Datadog users express concerns over its complex pricing and integration options, along with the need for enhanced support for new solutions. Elastic Stack's search performance can degrade with large datasets, and users find its pricing steep for advanced features and integrations.
Ease of Deployment and Customer Service: Datadog is lauded for easy deployment across cloud environments, though customer service can be inconsistent. Elastic Stack requires more intricate setup but generally enjoys positive customer service feedback, despite occasional slow technical support.
Pricing and ROI: Datadog is perceived as costly, although its feature set can justify the expense through efficient utilization. Elastic Stack provides an open-source version for cost-effective use, yet its advanced and paid services are considered expensive, with pricing escalating as feature use grows.
Product | Market Share (%) |
---|---|
Datadog | 5.7% |
Elastic Stack | 4.9% |
Other | 89.4% |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Company Size | Count |
---|---|
Small Business | 10 |
Midsize Enterprise | 2 |
Large Enterprise | 5 |
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.
Elastic Stack is a comprehensive tool for log management, observability, indexing, and security, widely adopted for managing logs, alert creation, SIEM, SOC, and threat analysis. It integrates with CloudStrike and Endpoint Security, enhancing search capabilities and Application Performance Monitoring.
Elastic Stack offers powerful solutions for logging, data storage, and visualization with Kibana. It allows MSSPs to efficiently manage security and assists companies with data analysis. It's known for its easy implementation, scalability, real-time monitoring, and extensive integrations. The open-source nature and community support add significant value, making it a popular choice across industries. While highly capable, there is a need for enhancement in dashboard implementation, data integration, and certain advanced features. Licensing, compatibility, and cost-related improvements can further elevate its efficacy.
What are the key features of Elastic Stack?In healthcare, Elastic Stack enhances database search capabilities, aiding in patient record management and data retrieval. Managed Security Service Providers use it for comprehensive security management, integrating it with tools like firewalls and authentication systems. Companies benefit from its application in Application Performance Monitoring and its flexibility in adapting to hybrid environments.
We monitor all Log Management 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.