We accelerate your SAP Business Warehouse.
Our solution acts as storage and query processing engine which fetches and aggregates results of queries on behalf of your SAP Buiness Warehouse (BW) system. We hereby rely on modern columnar storage formats and massive parallel processing based on state of the art cloud-native BigData technology.
For connecting our fast storage engine to the SAP Business Warehouse system we rely on the so called Nearline Storage Interface. Using the Nearline Interface guarantees seamless operation of our solution side by side with the existing Business Warehouse. This interface manages the update request processing as well as the query offloading and OLAP result processing. The Nealine Interface is the easiest way to get SparrowBI connected to the BW system.
Our customers invested a lot in the preparation and analysis
captured in the reports of a SAP Business Warehouse system.
The reports are business critical or have legal impact.
Our solution strives to keep this investment valuable and makes it possible to move forward in an cost-efficient and agile manner. Beside a simple setup procedure and some standard actions in the admistrator workbench no further changes to cubes or queries are necessary.
Archive your SAP Buiness Warehouse (BW) cubes to SparrowBI. This will safe storage cost by reducing the volume of data for cubes and aggregates on local storage systems. On top of that reporting data from archived cubes will be much more performant than before.
Upload daily data from your production system and use this data for development and testing queries across system-boundery. Therefore you get a much more realistic and valuable testing environment.
Gain the full power of SparrowBI with virtual cubes: When queries are handled by the Nearline Interface the joins with masterdata are done in the SAP OLAP processor. This can be very slow. With virtual cubes SparrowBI can handle this join internally and therefore do this job much more performant.
If you have important queries, you can mark them for pre-calculation. We will pre-calculate this results and keep them up-to-date whenever the underlying data changes. This is especially interesting for dashboarding when instantanious feedback is important for user experience.