Our Customers at Pivotal Recognize the Importance of Bridging Traditional Data Warehousing into Next Generation Platform

Cross posted from my blog at Pivotal POV:

Recently Gartner published the report, “Gartner Critical Capabilities for Data Warehouse Database Management Systems” that shares survey results of customers from a variety of Data Warehouse solution vendors.  The report ranks vendors in 4 categories of use cases in the Data Warehouse market: “Traditional Data Warehouse”, “Operational Data Warehouse”, “Logical Data Warehouse”, and “Context Independent Data Warehouse.”

Based on existing customer implementations and their experiences with data warehouse DBMS products, the report scored Pivotal in the top 2 out of 16 vendors in two use cases: “Traditional Data Warehouse” and “Logical Data Warehouse”.  In a third use case, “Context Independent Data Warehouse”, Pivotal scored in the top 3 relative to the 15 other vendors.

In the report, Gartner writes “the adoption rate for modern use cases (such as the logical data warehouse and the context independent warehouse) is increasing year over year by more than 50%—but the net percentage for the context independent and logical data warehouse combined remains below 8% of the total market.”

Modern Data Warehouse Use Cases Generate Trillions in Value

Many of Pivotal’s big data analytics customers started out as Greenplum Databasecustomers. These customers are both well established in traditional data warehousing techniques and take advantage of modern data warehousing scenarios supported by Greenplum Database’s advanced analytics capabilities, and other products of Pivotal Big Data Suite: Pivotal HAWQ and Pivotal HD.

Industry leaders like General Electric are using Pivotal Big Data Suite to create new solutions that cut weeks of analysis time that would be required using traditional data warehouse approaches. For example, a process for refining insightful analytics from sensor data streams generated by industrial machinery was compressed from 30 daysto just 20 minutes.

Other companies are using these approaches to improve customer retention, target advertising, detect anomalies, improve asset utilization and more. The combined potential benefit of these opportunities is staggering. GE alone predicts its solutions will boost GDP by $10-15 trillion in the next 20 years by saving labor costs and improving energy efficiency. [Read more…]