Microsoft Azure vs. Oracle Cloud Infrastructure vs. SAP Data Intelligence

Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.

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

• Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
• You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
• The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
• The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.

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

• The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
• The documentation needs to be improved, and some advanced configuration options require research and experimentation.
• Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.

• 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

Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.

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.

Incentivized

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

Incentivized

As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.

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

It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators

Incentivized

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

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

We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!

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,

Incentivized

Effective training provided, much data productivity while doing training

Incentivized

detailed and easy to understand.

Incentivized

As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.

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

Incentivized

As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.

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

• For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
• DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
• Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.

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