Best analytical tool in industry
January 14, 2022

Best analytical tool in industry

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Software Version

SAP HANA, enterprise edition

Overall Satisfaction with SAP HANA

Built complex aerospace and defense systems to produce intelligent asset management systems along with various important insights. This helped us reduce the overall cost by almost 45%. In my previous organization, SAP handles reporting, invoices, claims, and overall employees management. It provides an easy way to settle the claims. Overall it eases up day-to-day activities.
  • Real-time analysis and decision-making capabilities.
  • Parallel processing with OLTP and OLAP support.
  • Allows data integration and aggregation from different sources
  • Faster transaction and data processing.
  • Not compatible other than SUSE Linux certified hardware and hence a costly investment.
  • Sometimes (Rarely), the unexpected server shuts down due to heavy data processing.
  • Heavy system to run on low configuration machine
  • This reduced our overall cost for retail customer by around 50%
  • Great in term of ROI.
  • Could take businesses to the next level.
The in-memory real-time analytic feature was helpful for large data and its visualization. It is a high-speed and reliable system that helped us make quick decisions based on deep data analysis. With the capability of handling more extensive data, with SAP HANA, our organization got better equipped to handle big data. It is also compatible with other databases that making it more flexible to use.
Relational, spatial, graph, JSON document store, and text features are great supports along with SAP HANA. Variety Data type support helps us in better data visualIzation.
This feature surely helped our business by reducing writing complicated logic.
Overall the product is great with in-memory data handling capabilities, faster processing, and deep analytics.

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Best suites for To handle large database systems. Get great insights out of the data. When integration from different sources is required. When historical analytics are required. When predictive marketing is needed in order to enhance businesses. When Reliable, recoverable, analytical and visual data management is needed. Less Appropriate: For smaller businesses.