Overcoming SAPās limitations with Databricks
1. Hard to integrate SAP and non-SAP data
Due to the proprietary data format.
ā Databricksā Solution: SAP & non-SAP data can be easily integrated into the datalake and stored in the open-source Delta format
2. Limited access to SAP data from non-SAP tools
Do you use PowerBI, Tableau, or other 3rd party apps? An extra SAP license is needed. Expect performance challenges as well.
ā Databricksā Solution: Data can be directly read from the datalake by any tool
3. No (near) real-time reporting support
SAP BW data are usually updated daily only.
ā Databricksā Solution: Ingest and process all data in real-time thanks to Delta Live Tables and CDC support in Delta.
4. New data use-cases takes forever to implement
Due to SAP complexity and shortage of SAP experts
ā Databricksā Solution: Shorter time-to-market, better solution quality by using modern development approaches and automation
5. Limited Machine Learning & data-science tooling
ā Databricksā Solution: Databricks offers all the modern tooling and processes to support machine-learning first use-cases
6. Multiple copies of the same data
=> complex governance and compliance
ā Databricksā Solution: A single copy of data can be easily gated using the Unity Catalog or securely shared via the Delta Sharing