Likelihood to Recommend I would highly recommend Azure machine learning design for those with less access to high-end computing infrastructure, as using Azure saves a lot of time, money, and effort by providing a hustle-free platform that is easy to use and train your employees on. On the other hand, if you are looking for complete control of the machine learning model you create and would like to add detailed functionalities and try different algorithms, then Azure is less suitable here as it’s very high level.
Read full review Ideally suited for non-profits or small organizations that want to retain as much of their ticket revenues as possible, AND reduce the impact of fees on their patrons. You would also need to be EXTRA careful when setting up, it's hard to correct mistakes after the fact. e.g. not being able to change the order tickets are displayed, I literally had to delete tickets and re-enter them as new tickets to get them in the desired order
Read full review Pros Leverage machine learning as a service. Accelerate machine learning with best-breed algorithms. Support remote working with cloud-based services. Creation of compliant and secure machine learning applications. Read full review Their fee structure is very competitive, particularly for tickets that are $5 or less Provides some flexibility with registration questions and specific ticket types Read full review Cons Limited storage for those using the free version. Limited number of machine learning algorithms. Because of its high-level design, it doesn’t give the developers much control as you don’t write much code in to do what you exactly want. Read full review I think prtintable tickets when needed are currently not good, full page per ticket, ouch Read full review Alternatives Considered It’s fierce competition, but Azure as a Microsoft product is more stable and performs better than Amazon AWS since all of our machines are built on Microsoft Operating systems. Azure provides a pay-per-minute service, unlike AWS, which provides a pay-per-hour service. Azure allows direct linking to exist cloud storage that we already use at our institution, such as OneDrive. Azure has a friendly and easy-to-use interface that staff and students are already used to working with other Microsoft products.
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Eventbrite changed their plans and how they charge for using their platform, it would have cost us a lot more to keep using it for a small number of events each year. Ticketleap was great because their fee assessments are lower than any other platform we could find, and with the ability to pass those on to the patron...we lowered the financial impact on those buyers as well.
Read full review Return on Investment Reduce energy consumption caused by GPUs. Saves on recycling and transporting costs and maintenance caused by buying high-end equipment. Improve productivity as building products using Azure is easier than building everything up from scratch (e.g., machine learning and AI applications). Read full review Increase profitability Reduced efficiencies Read full review ScreenShots