Red Hat AI vs. SAP Business Data Cloud

SAP Business Data Cloud is suited mainly for SAP data integration. We could able to easily consolidate the data from S4 and service cloud V2 system. SAP Business Data Cloud enables realtime data replications. We could able to leverage the AI core features. As my previous data warehousing skill is from SAP BW, I am missing some basic features comparing to BW. Master data manual maintenance, Time dependant masterdata, language independent text is also not straightforward.

Incentivized

• Support for AI/ML use cases with SAP Data bricks and without the need to physically transfer the data from datasphere environment.
• Provide near realtime data for analytics from S4C public cloud via data products which was the primary business problem that our customers were concerned with
• Provides support to use the best of both the worlds like SAP and Databricks
• New releases that support for the zero-copy delta share via SAP Business Data Cloud connect to other products like snowflake, google big query and other products in roadmap
• Moving towards the lakehouse architecture or similar architecture from the former warehouse architecture to meet the increasing demand for the data

Incentivized

• Though SAP Business Data Cloud supports non-SAP data, integration is still not user friendly
• Since it combines multiple services together, Cost is based on usage of the tool
• Could be better if there is automated BW to SAP Business Data Cloud migration tool along with ABAP logic conversion support

Incentivized

In the new analytics world, BDC has been a game changer for SAP Analytics. Extending the SAP data for the usage in Databricks, snow flake, GCP has opened new doors for Analytics . Shift from traditional data warehousing to Business Data fabric adapting to the change in the analytics world is the need of the hour and Sap has managed to pulled it off with BDC

Incentivized

SAP Business Data Cloud offers robust capabilities that enable me to analyze data and extract valuable business insights. It creates a single source of truth with seamless SAP integrations that enable faster, more reliable reporting. It has freed my team from complex engineering efforts by simplifying data analytics, giving us more time to focus on generating insights.

Incentivized

support team is generally responsive and knowledgeable, and most issues are addressed within acceptable timelines. Documentation and standard guidance are helpful for common scenarios.

Incentivized

One of the best training session I attended and they covered most of the topics and answered all our questions. participants joined from different regions, infact they all had a different questions and it was different thoughts from all of then and helped to learn better. Though I was on travel, I could able yo attend the session.

Incentivized

I have done implementation of models in traditional bw and Using BDC. The integration of BDC with S4 hana for creating sap data products is seamless and reduces lot of implementation effort. The intelligent app feature is BDC also eases the implementation effort. If i have to compare the previous world with new BDC, implementation effort is largely saved

Incentivized

With a S4 backend a lot of core functionality is made simpler - authorization, data types, currency conversion. In particular if the front end choice is SAP Analytics Cloud. The lack of a good connection from Power BI to the datasphere application (instead of the underlying HANA cloud) is a major drawback in that scenario.

Incentivized

• SAP Business Data Cloud has made it very simple for Dashboards and stories to be created using various features provided to users
• Due to High maintenance and governance costs not many users are convinced to move from legacy systems like BOBJ.
• Data fabric architecture has made it very simple and cost effective to bring various models onboard to SAP Business Data Cloud

Incentivized