#Splunk cloud vs splunk enterprise how to#
A lot of customers may not be ready for the sticker shock on how to fully leverage the product. That's because the model is based on how much data it processes a day, which can be prohibitive, especially if you have a lot of data. It's a little complicated when you're trying to figure out all the features and what they do." "There are a lot of competitive products that are doing better than what Splunk is doing on the analytics side." "It is a good product, but the Achilles heel for a lot of organizations is the cost model for it because it gets expensive. "The solution has a high learning curve for users. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
It has machine learning embedded in the solution.
It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has a dashboard, like standard dashboarding functionality. "The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code." "The product is easily customized." "The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization." "A valuable feature is the speed of the solution." "It's really an enterprise solution.