Oracle Big Data Cloud Service vs. SAP Vora

Oracle Big Data SQL Cloud Service is useful for large organizations with more than 5,000 employees where it will help manage the company's human resources information, and also useful for companies who have a big number of items and so one, it's perfect for large organizations. Unfortunately, this makes it an expensive solution for small to medium organizations.

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I spent more than 1 year with SAP Vora, SAP Datahub and SAP Leonardo with ML, iOt. I believe this product has potential but it is not easy to adopt. SAP has to keep in mind how open-source big data technologies are able to deliver quick results. I know SAP is stabilizing and fighting hard against many open source technologies, but it still has a long way to go there.

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• User friendly
• Offers support and assistance
• Worth the cost
• Time efficient
• Good reliability
• Reliable support

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• Modelling with SAP HANA and Hadoop
• Realtime Analysis using Vora and HANA as a Streaming engine
• Time series Analysis on large chunks of datasets
• Machine learning capabilities on Hadoop tables and spark contexts

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• Needs some modernization to its UI
• Takes some time to analyze big chunks of Data

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• Vora 2.0 in on premise scenarios could be improved, as adoption of the cloud is not an easy sell.
• Kubernetes and Docker integration need to be more seamless and quick to understand. If this is simplified, it will be easy to adopt
• Data hub orchestration and integrations could be simplified so that quick adoption within SAP BW, ECC, S4 HANa scenarios is possible.

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Although new, Oracle has been exceptionally good speed wise and the customer service is top notch

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• It has had a good impact we are able to complete our projects in time
• We can save all our data in a safe and secure location
• Our data analysis is now faster than ever

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• Negative impact would be Poc and RFI will need more time to adopt and decision making gets delayed
• Positive impact would be it's a great leap from SAP to adopt a Big data technologies and AI within cloud stream. But selling is going to take time.

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