Speed OLAP is the engine of Speedminer that process all analysis. Speed OLAP uses superior technology which eliminates the need of building cumbersome cube. The OLAP data is stored as compressed bitmap for extremely fast processing thus making Speed OLAP is the engine of Speedminer that process all analysis. Speed OLAP uses superior technology which eliminates the need of building cumbersome cube. The OLAP data is stored as compressed bitmap for extremely fast processing thus making Speed OLAP one the fastest OLAP engine available.

Speed OLAP delivers:

High Scalability/Multi-Tiers Architecture - Save $$$

Most data warehouse bottleneck to serve more users. How much data can be handled and how many requests can be handled at any one time, and how many users may concurrently access to the Data Warehouse is all depending on the performance of OLAP engine.

Speed OLAP is less resource hungry as compared to many OLAP engine, thus allowing more users to be served under the same specification of hardware. Speedminer is the most scalable data warehouse solution on the market with the support of true multi-tier architecture, and distributed database architecture.

For extremely huge setup (e.g. telecommunications industry) the Speed OLAP Server can further distribute the load to multiple servers. Each OLAP Server will store only a section of the data for the entire data warehouse, thus allowing distribution of workload. This facilitates a better networking design to separate the group of users to achieve best network performance. As shown in the previous diagram, Accounting users are linked directly to the Accounting OLAP Server for best performance as the accounting data is accessed frequently, however those users still can access HR and other OLAP information via VLAN setup in the switch within LAN.

Fast and More Consistent Performance
Data warehouse (MOLAP/HOLAP) uses pre-computed aggregates to boost performance, but suffers extremely slow performance during drill down when the dimension is not summarized in the CUBE. Arbitrary time span query is also not supported by the CUBE. Speed OLAP uses sophisticated algorithm to calculate all aggregates in real time and still able to deliver best performance at all levels.

Support One to Many and Many to Many Data Relationship
Speedminer easily supports complex real world data relationship which is found to be difficult for other data warehouse.

Real Time Data Warehouse
Speed OLAP does not base on pre-computed aggregates, it can be setup to support real time/near real time data warehouse easily.

Standard Connectivity
OLAP database can be accessed via ODBC and JDBC.

Web capability
OLAP database supports easy export to XML format, and support Web Services creation.

Large Database up
Speed OLAP supports even up to penta-bytes of data.

Low Hardware Requirement
Data storing in compressed bitmap thus require less hard disk storage which means much saving in hardware cost.

Random Data Population
Random data populator allows generation of huge data set to automatically facilitate testing and benchmarking.

User Friendliness
Point and click, and other intuitive interfaces within Speedminer have enabled business users to self-manage creation of reports and analysis with bare minimum training (20 minutes in most cases).