Datadog vs Splunk
Last updated: September 26, 2017
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.
We make machine data accessible, usable and valuable to everyone—no matter where it comes from. You see servers and devices, apps and logs, traffic and clouds. We see data—everywhere. Splunk offers the leading platform for Operational Intelligence. It enables the curious to look closely at what others ignore—machine data—and find what others never see: insights that can help make your company more productive, profitable, competitive and secure.
Datadog vs Splunk in our news:
2017 - Splunk expands machine learning capabilities across platform to win over Datadog
Cloud monitoring provider Splunk is enhancing machine learning capabilities to make it easier to surface the data that’s most critical. The Splunk Machine Learning Toolkit has several new key features designed for the DIYers. First of all, there is a new data cleaning tool to get the data ready for the model. Next, there are machine learning APIs to import open source and proprietary algorithms and apply them in Splunk. Finally, there is a machine learning management component to integrate user permissions directly from Splunk into custom machine learning applications. For those who would prefer Splunk to do some of the work for them, there are also new goodies including Splunk ITSI 3.0, which uses machine learning to help identify issues and prioritize them based on how critical a given operation is to the business. So we may assume that Splunk becomes more intelligent if compared vs Datadog
2016 - Splunk unveiled 300 machine learning algorithms for Operational Intelligence to defeate dynaTrace
Operational Intelligence platform provider Splunk has expanded in a significant way the early version of machine learning in its platform to deliver new services and capabilities. It has added machine learning to the core of its platform with a machine learning toolkit that can be installed as a free app on top of the Splunk Enterprise platform. This toolkit provides 300 algorithms for machine learning, 27 of which are pre-packaged out of the box and focus on such categories as clustering, recommendations, regression, classification and text analytics. Splunk has also enhanced the machine learning in its IT Service Intelligence (ITSI) platform it introduced this time last year.
2015 - Splunk acquired machine learning startup Caspida to take on Palantir
Cloud monitoring provider Splunk has purchased Caspida, the startup that uses machine learning techniques to help identify cyber-secruity threats from inside and outside the company. Splunk helps companies deal with the onslaught of machine data coming from IT systems using data science techniques and automation to make sense of it. The company has a security product called Splunk App For Enterprise Security. With this purchase, Splunk is adding a new tool to its security arsenal to beef up the ability to locate threats using the machine learning techniques that Caspida has developed. It can apply data science to look more closely at the usage of every person using the system, even if they appear to be a valid user with proper credentials. Splunk’s general approach is a solution that is data science driven, that provides automated detection and uses machine learning to get smarter over time.
2015 - Cloud monitoring service Datadog fetched $31M
Datadog, which promises to let companies see how well their various cloud deployments are performing, now has $31 million in fresh Series C funding. The company, which claims Netflix, Spotify, EA, and, Mercadolibre as customers, has 75 employees now, up from 25 last year, and plans to double or triple headcount next year. Datadog faces competitors including Boundary, Server Density and Stackdriver (which was purchased by Google last year).