Overall Satisfaction with Microsoft Azure
We use Microsoft Azure for cognitive services like natural language processing, computer vision, and machine learning services for built-in open-[source] frameworks like Tensorflow, MXNet, Keras, etc. It is used based on customers' needs, as we are in the service industry. It helps with scaling, security, and reliability.
- Azure simply provides end to end life cycle. Starting from the development to automated deployment, you will find [a] bunch of options. Custom hook-points allow [integration] on-premise resources as well.
- Excellent documentation around all the services make it really easy for any novice. Overall support by [the] community and Azure Technical team is exceptional.
- BOT Services, Computer Vision services, ML frameworks provide excellent results as compare to similar services provided by other giants in the same space.
- Azure data services provide excellent support to ingest data from different sources, ETL, and consumption of data for BI purpose.
- The reliability of hardware is low as [compared] to AWS. Sometimes processes of allocation, deallocation of resources take quite a long time without having any intimation. If the instances are costly, such delay in stopping incurs extra cost.
- Overall cost is much higher for ML and BI Services. Basic storage and compute cost is also bit more as compare to AWS.
- Azure can surely do better with overall DevOps support. Cloud formation needs [a] lot more maturity and features.
- Azure is truly PaaS. It provides the platform with the best possible configuration around many services. However many services require improvement.
- Automation templates are not much flexible. So for [doable] assets (which you want to up at the time of demo), you need to do [a] lot of work in prior. Sometimes it creates [a] negative impact on ROI.
- We find it extremely useful and agile when you want to do quick prototyping or development on [the] scale for cognitive services. Truly worth of investment.
Do you think Microsoft Azure delivers good value for the price?
Yes
Are you happy with Microsoft Azure's feature set?
Yes
Did Microsoft Azure live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Microsoft Azure go as expected?
Yes
Would you buy Microsoft Azure again?
Yes