This allows engineering and FinOps teams to automatically attribute spend to applications, services, and teams, track any changes in spend, understand why those changes occurred and include costs as a key performance indicator of application health. This complements Datadog’s existing infrastructure monitoring and application monitoring capabilities.įinally, Datadog has released Cloud Cost Management to show an organization’s cloud spend in the context of observability data. In addition, Datadog has released Universal Service Monitoring, which automatically detects all microservices across an organization’s environment and provides visibility into their health and dependencies without any code changes. Once security logs are ingested, users can analyze and identify threats through out-of-the-box detection rules or by writing custom security rules. This eliminates the need to build data pipelines to aggregate and route security logs to various security analytics solutions.ĭatadog makes this possible via minimal configuration requirements. These include integration with Amazon Security Lake to make it easy for Amazon Security Lake users to send cloud security logs to Datadog in a standard format. Splunk: New Featuresīoth companies have been active with new features and updates, with Datadog being by far the most frequent when it comes to product announcements. Splunk wins on breadth of features while Datadog wins slightly in terms of APM depth.įor more information, also see: Top Data Mining Tools Datadog vs. Thus, Datadog tends to be favored by DevOps and IT teams to address cloud and infrastructure performance. Datadog, on the other hand, takes more of a monitoring approach geared toward analytics. The Splunk application takes more of a log management approach, which makes it ideal for managing and monitoring the large amount of data generated from the devices running on the network. Recent additions to its platforms include network monitoring, security analysis, AIOps, business analytics, a mobile app, and an incident management interface.ĭelving deeper into both tools, the best way to differentiate them is how they operate. The user interface centralizes performance monitoring, alert management, and data analysis in one place. It generates alerts about potential problems and helps IT to discover any underlying issues.ĭatadog can assemble data from logs and other metrics to provide context that is helpful in minimizing incident response time. Datadog helps IT to drill down into performance data. Infrastructure monitoring, APM, log management, device monitoring, cloud workload monitoring, server monitoring, and database monitoring fall within its feature set.ĭatadog is particularly astute at dealing with the performance and visibility of multiple clouds operating on the network and in managing cloud services. It offers the ability to see inside any stack or application at any scale and anywhere. It is more focused on cloud monitoring and security. It offers plenty of real-time visualization and analysis features, as well as management and monitoring.ĭatadog stops short of calling itself a complete SIEM, ITSM or ITOM platform. Those wishing to manage SIEM, ITOM and ITSM in an integrated fashion will find Splunk to be a fine tool that can do the job. Overall, it offers a breadth of management that spans all of IT and security. The platform can be used to analyze, ingest, and store data for later use, as well as detect issues impacting customers. Splunk’s wide range of products and features are aggregated within the Splunk Observability Suite. Beyond security, it takes in APM, compliance, automation, orchestration, forensics, as well as plenty of features related to IT service management (ITSM) and IT operations management (ITOM). To understand the scope of Splunk: Security Information & Event Management (SIEM) can be considered just one small part of its feature arsenal. The Splunk platform enables searching, network monitoring, and analyzing a vast amount of IT data to identify data patterns, provide metrics, diagnose problems and aid in business and IT decision making. Here’s a look at both, how they compare, and their ideal use cases.įor more information, also see: Best Data Analytics Tools Datadog vs. In sum, they’re very different products that will appeal to buyers with different goals in mind. However, there are as many differences as similarities between these two solutions. Buyers looking for a high quality performance monitoring platform will likely find both on their list of strong candidates. ![]() Both offer broad monitoring and in-depth data analytics. Learn More.ĭatadog and Splunk both cover a lot of ground as application performance monitoring (APM) tools. We may make money when you click on links to our partners. ![]() ![]() EWEEK content and product recommendations are editorially independent.
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