Adobe Analytics vs Splunk


8
Adobe Analytics
No matter where you are with your maturity with analytics, Adobe Analytics can help. It helps to bring all your data under one roof — from web and mobile to CRM and connected cars — for the clearest possible picture of your customer and your business. It provides robust and best-in-class tools to help everyone in your company turn all the customer data you’ve gathered in to what-, why-, and how-style insights that actually deliver ROI.
30
Splunk
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.
Adobe Analytics vs Splunk in our news:


2018 - Adobe introduced AI assistant for Adobe Analytics



Adobe introduced an AI-fueled virtual assistant called Intelligent Alerts to help Adobe Analytics users find deeper insights they might have otherwise missed. The way it works is the analyst receives some alerts they can dig into to give them additional insights. If they don’t like what they’re seeing, they can tune the system and it should learn over time what the analyst needs in terms of data. They can configure how often they see the alerts and how many they want to see. This all falls within the realm of Adobe’s artificial intelligence platform they call Sensei. Adobe built Sensei with the idea of injecting intelligence across the Adobe product line.

2017 - Splunk expands machine learning capabilities across platform



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



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



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.

2013 - Splunk launches Splunk Cloud



Splunk, the leading software platform for real-time operational intelligence, announced the general availability of Splunk Cloud - a new service that delivers Splunk Enterprise in the cloud. Organizations can now access Splunk Cloud to gain visibility and operational insights into their machine-generated big data in the cloud, as well as correlate this data across their cloud and on-premises environments. With the introduction of Splunk Cloud for large-scale production environments, Splunk Storm, the cloud-based service introduced last year, will significantly expand its free developer offerings to 20GB of total storage per month. Splunk Cloud is powered by Amazon Web Services, includes access to all features of Splunk Enterprise platform including apps, APIs, alerting and role-based access controls..