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Datadog vs IBM Turbonomic
July 27, 2023 | Author: Michael Stromann
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Datadog is a monitoring service for IT, Operations and Development teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
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IBM Turbonomic software uses AI to optimize the performance, cost and compliance of hybrid cloud and multicloud environments.
See also:
Top 10 Cloud Management platforms
Top 10 Cloud Management platforms
Datadog and IBM Turbonomic are both leading solutions in the realm of cloud and IT monitoring, but they offer distinct functionalities to cater to different aspects of infrastructure management. Datadog is a comprehensive monitoring and analytics platform, focusing on collecting and analyzing data from various sources such as servers, applications, databases, and cloud services. It provides real-time insights, visualizations, and alerts to help IT teams monitor and troubleshoot their environments effectively. On the other hand, IBM Turbonomic is an intelligent automation platform that optimizes workload performance and resource utilization across hybrid cloud environments. Using AI-driven analytics, Turbonomic continuously analyzes application demands and automatically allocates resources to ensure performance while minimizing costs. While Datadog excels in comprehensive monitoring and analytics, IBM Turbonomic is more focused on dynamic workload optimization and resource management, making it an excellent choice for organizations seeking automated performance and cost optimization in complex cloud environments.
See also: Top 10 Cloud Management platforms
See also: Top 10 Cloud Management platforms
Datadog vs IBM Turbonomic in our news:
2015. Cloud monitoring service Datadog fetched $31M
Datadog, a platform that enables companies to monitor the performance of their diverse cloud deployments, has secured a new round of Series C funding amounting to $31 million. With notable customers such as Netflix, Spotify, EA, and Mercadolibre, the company has expanded its workforce from 25 employees last year to 75 employees presently. Moreover, Datadog has ambitious plans to double or even triple its headcount in the coming year. While facing competition from rivals like Boundary, Server Density, and Stackdriver (acquired by Google last year), Datadog continues to provide its unique value proposition.
