Power at scale
High performance on petabyte-scale data volumes
With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput.
Greenplum is fully equipped with the analytical tools necessary to help you draw additional insights from your data.True Flexibility
Deploy anywhere
Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor lock-in, and allowing open influence on product direction.
Take advantage of the flexibility and choice as Greenplum can be deployed on all major public and private cloud platforms, on-premises, and on containerized infrastructure.All the reasons to choose Greenplum
Fully featured, integrated analytics platform
MPP Architecture
Greenplum’s massively parallel processing architecture provides automatic parallelization of all data and queries in a scale-out, shared nothing architecture.
Petabyte-Scale Loading
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 optimizer and query processing engine. Including Hadoop, Cloud Storage, ORC, AVRO, Parquet and other Polyglot data stores.
Latest Events
Attend the latest Greenplum talks, meetups, and conferences
- 10 Reasons Why Netezza Professionals Should Consider Greenplum - Don't miss the dialog between two long time Netezza professionals as they talk about what many Netezza customers are struggling… Read more
- Netezza to Greenplum Webinar – Feb 13. - Join us on Feb 13 - Ten Reasons Why Netezza Professionals Should Consider Greenplum Webinar. This webinar is for IT… Read more
- 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
Platform Extension Framework (PXF): Enabling Parallel Query Processing Over Heterogeneous Data Sources In Greenplum
Authors: Venkatesh Raghavan, Alexander Denissov, Francisco Guerrero, Oliver Albertini, Divya Bhargov, Lisa Owen, Shivram Mani, Lav Jain Abstract: With the explosion of data stores and cloud services, data now resides[…]
Read moreImage Classification in Greenplum Database Using Deep Learning
Authors: Oliver Albertini, Divya Bhargov, Alexander Denissov, Francisco Guerrero, Nandish Jayaram, Nikhil Kak, Ekta Khanna, Orhan Kislal, Arun Kumar, Frank McQuillan, Lisa Owen, Venkatesh Raghavan, Domino Valdano, Yuhao Zhang Abstract:[…]
Read moreBottom-up Join Enumeration in a Top-down Optimizer
Authors: Bhuvnesh Chaudhary, Hans Zeller, Sambitesh Dash, Venkatesh Raghavan MAPBU, VMWare Palo Alto CA, USA Abstract: Greenplum Database is a massively parallel processing (MPP) analytics database that adopts a shared-nothing[…]
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