Azur Systems vs. TryBooking

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.

Incentivized

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I use TryBooking for all three gala fundraising events. They are well suited to each of these events. My largest gala dinner is 1,600 women at Crown Palladium, which usually sells out in ten minutes. The TryBooking system can handle this onslaught and has streamlined the whole process of ticket purchasing and receipting. Confirmation emails, the creation of guest lists and the collection of data has also been made so much easier with the use of their system.

Incentivized

Independently Invited by TrustRadius

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• 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.

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• Great at Troubleshooting - can provide quick fix answers over the phone.
• Great Customer Service - they are always there to answer the phone.
• Easy to navigate website backend.

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• 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.

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• Would like TryBooking to re-introduce donating fees to NFPs who use their service.
• The language in the backend of the website is sometimes confusing.
• Would like more flexibility in the order of how purchasing and data collection happens.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• 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).

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info