Azur Systems vs. Tithe.ly

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

[Tithe.ly is well suited as an] easy to learn online giving platform where your online giving and people management system can be connected.

Incentivized

• 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.

Incentivized

• Text Giving
• Custom profiles

Incentivized

• 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.

Incentivized

• The app could incorrectly identify your location and you could give to the wrong church. This was a problem in 2017-2018 but I haven't heard this issue recently.

Incentivized

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

I like Tithe.ly's online giving integration with our people management system.

Incentivized

• 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

• It makes donating simpler. Online giving makes up 98% of our total donations
• The customized reports help us connect newer people to our church

Incentivized