Anaconda vs Datawatch Monarch

• First of all it is very easy to install and it is user friendly. You just download a Anaconda from its official site and you can start using it for coding (I usually code using Jupiter Notebook) Compared to Pycharm it is easier navigate in Anaconda(Jupiter Notebook)
• For me it is a best environment to use if I have small projects. Jupiter Notebook is running tasks much faster compared to Pycharm and other IDE's.
• In my work I usually need different scientific packages that are not commonly used. As Anaconda have thousands of libraries it helps me making my job easier

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• Creating a basic model to extract data from a report is very easy.
• Advanced features like Calculated Fields and External Lookups allow you to augment the raw data.
• You can create a "project" to automate the data extraction. Combined with Datapump (a separate DW app), you can fully automate the process once the raw report is generated.

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• Anaconda could greatly benefit by integrating with Git and other versioning software.
• The software's default installation is relatively bloated, slower on older machines, and could be improved by allowing for a lean default installation environment.
• Anaconda has an issue with supporting the current version of Computer-Vision, a commonly used machine learning package.

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• Recently, we had some major sticker-shock when we wanted to upgrade Data Pump. It is an exceptional product, but when the price jumped from $6,000 to over $60,000, it was impossible to get the funds approved internally for the upgrade.
• We also paid for yearly maintenance contracts which included Professional Services, but rarely found those services beneficial. However, we did receive all software upgrades for Datapump as part of the contract which we found to be very beneficial. However, with the new pricing, that is not longer the case.

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• We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
• We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.

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• Data Pump reduces complexity of report solutions by offering a standardized approach for organizing and scheduling
• 97% service level for past 5 years for all of our jobs going through Data Pump

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