Only Inzata offers In-Memory Real Time ROLAP Multidimensional Analytics to meet the complex requirements and scalability demands of true enterprise Healthcare BI. Our patented InROLAP analytic engine outperforms and scales better than any DBMS-based ROLAP engine at a fraction of the cost. InROLAP is designed for REAL TIME AD HOC analysis and NEAR REAL TIME Data Updates. It uses distributed computing techniques (MapReduce, Distributed Storage, Cloud Platform) combined with massive parallel processing and in-memory aggregation to achieve:
- unlimited enterprise data depth and breadth with rapid real time analytics;
- support for extremely large and complex logical data models – no limit on dimensions or fact tables and no aggregation table preparation required;
- virtually unlimited metric complexity through the use of embedded aggregation with dimensionality and recursive metric definitions with any filtering conditions;
- fully automated complex query generation using our patented Analytic Query Language (AQL) that is optimized for multidimensional analysis
- high linear scalability for large number of users working on multiple analytics applications with complex data models;
- highly-complex ad hoc, and report generation speeds 5-20X faster than any DBMS SQL-based analytic engine; and
- Big Data running on commodity hardware in the Cloud