Amazon Tensor Flow vs. OutSystems

A well-suited scenario for using AWS Tensor Flow is when having a project with a geographically dispersed team, a client overseas and large data to use for training. AWS Tensor Flow is less appropriate when working for clients in regions where it hasn't been allowed yet for use. Since smaller clients are in regions where AWS Tensor Flow hasn't been allowed for use, and those clients traditionally don't have enough hardware, this situation deters a wider use of the tool.

Incentivized

OutSystems excels with building web interfaces fast and lends itself to custom integrations written in .Net. Most anything can be brought in given this ability to be extended. One of the drawbacks to the speed of development is that most quality control teams become quickly overwhelmed and may be unable to keep up.

Incentivized

• Amazon Elastic Compute Cloud (EC2) allows resizable compute capacity in the cloud, providing the necessary elasticity to provide services for both, small and medium-sized businesses.
• Tensor Flow allows us to train our models much faster than in our on-premise equipment.
• Most of the pre-trained models are easy to adapt to our clients' needs.

Incentivized

• Deployment management – OutSystems has a built in robust, multi-environment deployment system that helps ensures the clean and error free deployment of applications through the development, testing and production product lifecycle
• Rapid application development – Through the low code, graphical development environment you can develop applications far quicker than with more traditional development environments
• Cross platform mobile development – OutSystems handle the development and building of mobile application for both iOS and Android in a simple streamlined way that removes 90% of the problems normally associated with multi platform development

Incentivized

• SageMaker isn't available in all regions. This is complicated for some clients overseas.
• For larger instances, when using a GPU, it takes a while to talk to a customer service representative to ask for a limit increase. Given this, it's recommendable to ask in advance for a limit increase in more expensive and larger cases; otherwise, SageMaker will set the limit to zero by default.
• Since the data has to be stored in S3 and copied to training, it doesn't allow to test and debug locally. Therefore, we have to wait a lot to check everything after every trail.

Incentivized

• The platform controls all the parts. While great for development and overall maintenance, it could lead to discussions with your DBA (who has to trust the platform). As a developer I love the platform, as a DBA I would like more control.
• By making software development model driven using flows, you are forced to rethink the way of programming. It makes it easier, but sometimes the way of working leads to code which could be optimized (standard problem in model based software development).
• Most of the code is generated, so the technical knowledge of the inner working of coding are not Essentials. This could lead to degration of this knowlegde. As part of this, most technologies will only be used when OutSystems supports it. They do a good job on implementing these things. But things like Node.js would be nice.

We are very happy with OutSystems and our developers deliver good work. OutSystems lets us build new software on a regulare (2 weekly) basis, which is highly flexible and adjustable. Even without very much experience, our developers manage to build usefull software, which is working a lot better than our previous (legacy) software.

OutSystems has a feature in which we can develop a functionality in a application and can use that functionality in another application without developing it again. That is main plus point for the development team so they can work with different functionalities rather focusing on the same thing again and again. if we want to make any change on the user side then we can make it live with just the deployment using the service center.

Incentivized

The tech support is very reachable. Usually by [email] from but also by phone if needed. We had some difficulties at the start with understanding "what our machine was doing" under high performance load. After some good sessions understanding our needs they delivered good solutions for our problems we had in the beginning.

Excellent material full of hands on that improve the understanding of the platform.

The online training material is well designed and explanations are step by step, helping trainees to understand and follow each exercise and new concept.

In a large company, patiently and consistently work the behind the scenes politics with business and IT partners across the firm.
This is transformational - you will need a solid set of key business partners to lock arms together to move forward.

Incentivized

Microsoft Azure is better than Amazon Tensor Flow because it provides easier and pre-built capabilities such as Anomaly Detection, Recommendation, and Ranking. AWS is better than IBM Watson ML Studio because it has direct and prebuilt clustering capabilities AWS, like IBM Watson ML Studio, has powerful built-in algorithms, providing a stronger platform when comparing it with MS Azure ML Services and Google ML Engine.

Incentivized

Totally different products of cource. Sitecore is best suited for full fledged websites with extensive support for analytics. OutSystems for modular business processes with a UI. Hence, there is no overlap. But even for small websites, or even landingpages, I would recommend OutSystems, with a custom made analytics part or a plugin.

Incentivized

• Positive: It has allowed us to work with our overseas teams without any large hardware investing.
• Positive: Pre-trained models significantly reduce the time to develop solutions for our clients.
• Negative: Since it's a relatively new tool, you have to be careful about not paying for large errors while learning to use the tool.

Incentivized

• The ease of use of the OutSystems development process has been the biggest ROI for us. We have developed our Framework product and maintained/enhanced it with only 4 workers.
• OutSystems has enhanced their product very significantly over the last 4 years. They have gone from a simple to use tool to a very simple to use sophisticated tool that covers the standard mainframe-based computing apps and the apps used on handheld mobile devices all using the same basic set of development tools.

Incentivized