Amazon Web Services vs. Oracle Cloud Infrastructure vs. SAP Data Intelligence

This is something that is actually common across most cloud providers. A comprehensive understanding of one's use cases, constraints and future directions is key to determining if you even need a cloud solution. If you are a 2-person startup developing something with a best-scenario audience of 1k DAU in a year, you would very likely best served by a dirt-cheap dedicated Linux server somewhere (and your options to graduate to a cloud solution will still be open). If, however, you are a bigger fish, and/or you are actively considering build-vs-buy decisions for complicated, highly-loaded, six-figure requests per minute systems, global loadbalancing, extreme growth projections - then MAYBE you solve all or part of it with a cloud provider. And depending on your taste for risk, reliability, flexibility, track record - it might be AWS.

Incentivized

As per our usage Oracle Cloud Infrastructure for almost 6 years hosting 500 + customers I can say its well suited application for any small scale to larger scale application as it can handle that capacity and provide more reliable cloud service only if you need any messaging service like pub/sub or sqs better to consider other services.

Incentivized

If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.

Incentivized

• During the month-end, we experience high resource utilization; however, with AWS's scalability, we can effectively tackle the peak load.
• With AWS IAM, we don't need to set up complete infrastructure for identity and access management, as AWS provides end-to-end IAM services.
• With AWS, development has become very easy as it's very quick to spin up and destroy the environment, which saves costs.

Incentivized

• Oracle Cloud Infrastructure has a generous free tier, moreso than other hyperscalers, with an always-free tier that guarantees certain products are always free
• Oracle Cloud Infrastructure allows you to size VMs with differing combinations of CPU and RAM, which is contrary to other hyperscalers that have specific pre-defined combinations only
• Oracle Cloud Infrastructure regularly provides free certification exam offers

Incentivized

• It integrates well with our current ecosystem of SAP products, like HANA.
• It provides end-to-end machine learning operations, with tools for the complete model life cycle.
• It has a simple user interface for novice users, with complex tools also available for power users.
• It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
• It can run in the cloud, no on-premise software management needed.
• Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
• SAP is very actively developing and improving it.

Incentivized

• When there is any misconfiguration of EC2 related to SSM Connect. It doesn't clearly states that what particular configuration is missing.
• Debugging networking related issues could be improved.
• From the security group page, it's difficult to determine which resource a security group is associated with.

Incentivized

• Navigating the UI takes lots of getting used to. It reminds me of older GCP (just to get used to where everything is).
• Permission for different things always seemed to be more difficult than it really needed to be. Once you got them set up you were good but updating anything or creating new permissions for just about anything took longer than I thought it should.
• Based on how the buttons were laid out, it was pretty easy to delete all of your DNS records, and backing them up was not as intuitive as I'd like with the UI, but it was easy to do using a script.

Incentivized

• Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.

Incentivized

We are almost entirely satisfied with the service. In order to move off it, we'd have to build for ourselves many of the services that AWS provides and the cost would be prohibitive. Although there are cost savings and security benefits to returning to the colo facility, we could never afford to do it, and we'd hate to give up the innovation and constant cycle of new features that AWS gives us.

Reliability: Very dependable and stable OCI services have been for the business operations.Performance: The speed and efficiency of OCI in meeting their computing and storage needs.Scalability: The ease and effectiveness of scaling resources up or down to accommodate changing demands.Security: The robustness and effectiveness of OCI's security features in protecting their data and applications.

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Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence

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AWS offers a wide range of powerful services that cater to various business needs which is significant strength. The ability to scale resources on-demand is a major advantage making it suitable for businesses of all sizes. The sheer volume of options and configurations can be overwhelming for new users leading to a steep learning curve. While functional the AWS management console can feel cluttered and less intuitive compared to some competitors which can hinder navigation. Although some documentation lacks clarity and practical examples which can frustrate users trying to implement specific solutions.

Incentivized

The services & products in Oracle Cloud Infrastructure needs more improvement to beat other Cloud service providers. The price is good & Security processes are good. We are requiring to put more effort in supporting this Oracle Cloud Infrastructure than other Cloud service providers. Probably better ways are there but is not super easy to find or not super available

I think the troubleshooting process might be streamlined with improved error recording and tracing. A lot of information about issues and how to fix them is hidden away in the Kubernetes pods themselves. I'm not sure whether SAP Data Intelligence can fix this problem it may be connected to Kubernetes's design, in which case fixing it could need modifications inside Kubernetes itself.

Incentivized

Availability is very good, with the exception of occasional spectacular outages.

Yeah sometimes we had to face unplanned outages due to underlying infrastructure issues, so not every time,e but once in a while we face issues with availability. But the good thing is we have redundancy with DR setup and multi region so we can manage.

Incentivized

AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.

From the start, I was surprised by response times and image quality accessing windows VMs with RDP. GCP, Azure and -many offerings in AWS- don't perform this speed. Also, that's evident in the quality of Infrastructure Management Team, because I just received one warning regarding a region failure, what confirms that's a mature platform.

Incentivized

The customer support of Amazon Web Services are quick in their responses. I appreciate its entire team, which works amazingly, and provides professional support. AWS is a great tool, indeed, to provide customers a suitable way to
immediately search for their compatible software's and also to guide them in a
good direction. Moreover, this product is a good suggestion for every type of
company because of its affordability and ease of use.

Incentivized

Overall it is amazing, there is always room for improvement. We have weekly updates that tend to slow the program used more and more. We had to change some reports within Oracle because the others wouldn’t load. This is tied to our payroll and the delays are causing many time constraint issues and panic. We have to create a new report when one breaks. Otherwise awesome!

Incentivized

Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,

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Effective training provided, much data productivity while doing training

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detailed and easy to understand.

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The API's were very well documented and was Janova's main point of entry into the services.

Easier way to implement, vary much supportive way doing the implementation

Incentivized

Amazon Web Services fits best for all levels of organisations like startup, mid level or enterprise. The services are easy to use and doesn't require a high level of understanding as you can learn via blogs or youtube videos. AWS is Reasonable in cost as the plan is pay as you use.

Incentivized

We used Microsoft Azure and Docker earlier and faced some difficulties like Microsoft Azure and Docker. Occasionally, the generation of large images can delay deployment. It is also necessary for me to admit that Microsoft Azure and Docker have a somewhat steep learning curve. Proper paperwork needs to be there. Docker has issues with performance on a number of platforms. On the other hand, OCI is easy to deploy and easy to understand.

Incentivized

One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.

Incentivized

was not part of initial purchase team. Anyways, i think unit pricing and billing frequency is good compared to other Cloud service providers, when it comes to Cloud Capital expenditure & Operational expenditure. Would be more interested in exploring more options where customers can get more cost relaxations on trying out new cloud services in Oracle Cloud Infrastructure for example a new App or a feature

We have hosted around 500 + customers on this cloud so till day not faced any major issues, so we can use it for any kind of products and it can hold the load and easily scale based on need.

Incentivized

Services & Infra wise is ok to use & host applications & services. Security wise also good for a Cloud service provider. It is a interesting area to explore & using it for day to day needs can be further improvised in future probably. Modern day Services like AI and Machine learning could be improved

• Using Amazon Web Services has allowed us to develop and deploy new SAAS solutions quicker than we did when we used traditional web hosting. This has allowed us to grow our service offerings to clients and also add more value to our existing services.
• Having AWS deployed has also allowed our development team to focus on delivering high-quality software without worrying about whether our servers will be able to handle the demand. Since AWS allows you to adjust your server needs based on demand, we can easily assign a faster server instance to ease and improve service without the client even knowing what we did.

Incentivized

• Oracle Cloud helps us build and deploy apps quickly, getting our products out the door faster.
• With real-time insights from Oracle Cloud, we can give customers personalized experiences that boost satisfaction.
• Migrating to Oracle saves us cash on hardware and maintenance, which we can use for innovation and growth.

Incentivized

• Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
• Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
• It runs multiple ML models which enhances flexibility when managing data.

Incentivized