Amazon Deep Learning AMIs vs. Egnyte vs. IBM OpenPages

Amazon AMIs has been very useful for the quick setup and implementation of deep learning for data analysis which is something I have used the service for in my own research. We commonly use the service to enable students to run intensive deep learning algorithms for their assessments. This service works well in this scenario as it allows students to quickly set up a suitable environment and get started with little hassle. If you are looking to run simple, surface level deep learning algorithms (kind of contradictory statement I know) then AMI is more complicated than most will need. When it comes to teaching the basics of Machine Learning, this kind of system is unnecessary and there are other alternatives which can be used. That being said this service is a must if you are looking to run complex deep learning via the cloud.

Incentivized

Egynte is best suited for companies that SharePoint is not the best fit for. This includes managers unfamiliar with SharePoint specifically, and those really looking for a replacement for a file server in the more traditional Windows sense. SharePoint has more or less done away with any management that resembles Active Directory or File Explorer. Egnyte's web portal is incredibly straightforward. I would say Egnyte is less suited for companies that have licensing access to SharePoint already and do not have a ton of files or granular sharing and security needs

• Setting up environment
• Support for different types of machines
• Perfect for Machine Learning / Deep Learning use cases
• Nvidia / Cuda / Conda support easily

Incentivized

• Sharing files externally with passwords, link expiration and granular control of permissions
• File syncing across end-user devices using a client installed onto the computer for seamless integration for end-users as if they had mapped a drive directly to their machine
• Implements 2FA for secure access

• Some aspects of the User Interface are quite confusing and activating packages can be a bit convoluted
• It can be a bit confusing to switch between frameworks for novice users

Incentivized

• The main drawback of the system that it is lacking in managing the uploading of large or huge files, even though the large files can be easily downloadable but the upload takes a lot of time.
• While uploading the system sometimes starts lagging and the file after sometimes needs to upload again.
• Egnyte is lacking in syncing multiple platforms at the same time. It gives access to one platform at a time which somehow hinders the work while migrating a large amount of data.

Incentivized

We found that usage of Egnyte in our supported clients, with sufficient bandwidth, provided all the features and stability we required. The billing setup was fair and the support provided was ample for end users and well as our in house admins. There was a concern about high usage clients but this was taken into account during the vetting process.

Incentivized

Really easy to use the interface. The web browser is very intuitive and I have not had any notable issues with this. It's easy to work on documents as a team, and the only issues we have to tend to come with Apple apps and downloading large files to WebEdit. It's very similar to the filing systems that come on Apple and Windows devices so not a steep learning curve.

Incentivized

Egnyte works very well across all platforms and as an add-on to other programs. Load time is close to nothing. Reports can be made in no time as well. All in all no performance issues. We can see that it depends on the local network connection. If you're running with fiber there won't be any issues.

Incentivized

I never had to reach out to customer support for Egnyte. I don't know any coworkers who have had to reach out to Egnyte for support either. As far as I am concerned, the support team is doing a good job since I have not had to reach out to them.

Incentivized

Both of these services provide similar functionality and from my experience both are top class services which cover most of your needs. I think ultimately it comes down to what you need each service for. For example Amazon DL AMIs allows for clustering by default meaning I am able to run several clustering algorithms without a problem whereas IBM Watson Studio doesn't provide this functionality. They both provide a wide range of default packages such as Amazon providing caffe-2 and IBM providing sci-kitlearn. My main point is that both are very good services which have very similar functionality, you just need to think about the costs, suitability of features and integration with other services you are using.

Incentivized

At the time when this was implemented (over 5 years ago and still in production), there were issues with syncing and reliability that Egnyte did not have, and have continued to impress with. Other providers have improved a lot and Egnyte is fairly costly, but switching costs would be high to move away from it to similar solutions.

Incentivized

• Saves a lot of Infra Costs
• Saves a lot of time in handling environment issues
• Easy to start a new instance

Incentivized

• Allows us to easily communicate important data securely with other offices (not just sending via email)
• It allows everyone in our office to be working on the same information at the same time
• It meshes so well with salesforce that I can't really picture what our practice would look like if we didn't have the combination.

Incentivized