Run your visual analytics and business intelligence (BI) reports for large data sets stored in Pivotal Greenplum. Connect data visualization and reporting tools to Greenplum via high-speed, specialized connectors or standard connections such as JDBC or ODBC. Send queries to Greenplum, pushdown processing, and leverage in-database parallel processing analytics functions from Apache MADlib and GPText.
BI and visualization clients can connect to Pivotal Greenplum via parallelized JDBC, ODBC, and OData drivers.
Parallel query processing and data loading extends to external tables hosted in Hadoop and cloud object stores. Access to external systems uses the same user authorization to ensure consistent data access controls.
As a scale-out cluster, Pivotal Greenplum can handle query processing for multi-petabyte data sets.
Enterprises can choose from data preparation, classification, and machine learning functions in Apache MADlib, and text search and analytics functions in GPText. All run highly parallelized across Pivotal Greenplum nodes for high-performance processing.
Queries execute simultaneously across multiple nodes for faster processing before returning consolidated result sets.
Pivotal Greenplum supports many types of data including relational, graph, geospatial, and text. Greenplum can process complex queries of mixed data types.
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