All the reasons to choose Greenplum
Fully featured, integrated analytics platform
Greenplum’s massively parallel processing architecture provides automatic parallelization of all data and queries in a scale-out, shared nothing architecture.
High-performance loading uses MPP technology. Loading speeds scale with each additional node to greater than 10 terabytes per hour, per rack.
Innovative Query Optimization
The query optimizer available in Greenplum Database is the industry’s first cost-based query optimizer for big data workloads. It can scale interactive and batch mode analytics to large datasets in the petabytes without degrading query performance and throughput.
Polymorphic Data Storage
Fully control the configuration for your table and partition storage, execution, and compression. Design your tables based on the way data is accessed. Users have the choice of row or column-oriented storage and processing for any table or partition.
Integrated In-Database Analytics
Provided by Apache MADlib, a library for scalable in-database analytics extending the SQL capabilities of Greenplum Database through user-defined functions.
Federated Data Access
Query external data sources with the Greenplum optimzer and query processing engine. Including Hadoop, Cloud Storage, ORC, AVRO, Parquet and other Polygot data stores.
Attend the latest Greenplum talks, meetups, and conferences
- Announcing the Greenplum Summit 2019 Agenda: Scale Matters!- We’re excited to announce the agenda for the second annual Greenplum Summit. The schedule is packed with great sessions from… Read more
- Mark Your Calendars for the Greenplum Database Roadmap Update (January 25 @12:30 pm PST.)- Join Ivan Novick, Greenplum Database Product Manager, on this Greenplum Live YouTube streaming and learn about what the community has… Read more
- Save the Date for Greenplum Summit 2019! Postgres + AI + Analytics- Greenplum Summit at PostgresConf 2019, March 18 - 22, 2019, Sheraton New York Times Square, New York, NY Save the… Read more