Hadoop vs Splunk Enterprise

• HDFS is reliable and solid, and in my experience with it, there are very few problems using it
• Enterprise support from different vendors makes it easier to 'sell' inside an enterprise
• It provides High Scalability and Redundancy
• Horizontal scaling and distributed architecture

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• Allow for separation of control where we don't let some employees have access to production but still can diagnose issues.
• Common location to go for all logs even if the logs themselves aren't in the same place.
• Ability to ingest logs from different locations without having to change the code to put logs in a certain place (pro and con).

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• Hadoop is a batch oriented processing framework, it lacks real time or stream processing.
• Hadoop's HDFS file system is not a POSIX compliant file system and does not work well with small files, especially smaller than the default block size.
• Hadoop cannot be used for running interactive jobs or analytics.

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• Even though there is a search tool as a help function, you still have to read through many documentation to find the answers you're looking for and sometimes you don't find it. The help function in Splunk could be improved to be more intuitive or have a built-in help per report, panel or dashboard.
• Creating a Splunk dashboard is rather straightforward however, customization is not. Splunk could be improved to provide more tools or features for customization such as adding colors and font options for text and graphs or graphics.
• My dashboard has a lot of useful information and I want the important panels and reports at the top but there is no easy way to do this. Perhaps Splunk could be improved to allow features such as adding URL links to other dashboards or some other clever way to emphasize the important data in my dashboard without compromising space.

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• Hadoop has allowed us to scale out a few of our tier-1, customer facing applications to provide very fast access to reports and analytics.
• Hadoop was easily implemented by our Linux team and onboarded by our Hadoop Admins.
• Hadoop has been a very stable platform and only goes down due to server patching or other maintenance.

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• I'm not a data analyst so I can not provide concrete examples on how the business has benefited from implementing Splunk. However, the analysts I have worked with have provided a wealth of support in reducing workstation issues across the enterprise. This alone reduces the time it takes to determine where the exact problem lies between a workstation and the servers it tries to communicate with.

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