Massively parallel analytics database built on PostgreSQL
https://greenplum.orgGreenplum is an open-source massively parallel processing (MPP) database built on PostgreSQL. It distributes data and query processing across multiple segments, enabling analytical query performance on datasets from gigabytes to petabytes. Greenplum combines the familiar PostgreSQL SQL syntax with the power of distributed computing โ making it a strong choice for organizations that need on-premise or hybrid analytical capabilities.
We deploy Greenplum for clients who need high-performance analytical processing in on-premise or hybrid environments where cloud-only solutions aren’t viable. Our expertise covers cluster design, distribution key strategies, resource group management, and integration with upstream and downstream data systems. We also assist with migrations from legacy MPP platforms to Greenplum.
We design Greenplum clusters: segment host sizing, mirror configuration, master/standby setup, and interconnect network optimization.
We select distribution keys that minimize data movement during JOINs and aggregations. Hash, random, and replicated distribution based on query patterns.
We configure resource groups to isolate workloads: ETL processes, ad-hoc queries, and scheduled reports running without interference.
We leverage Greenplum's PostgreSQL foundation: familiar SQL syntax, extensions support, and compatibility with PostgreSQL-based tools and connectors.
High-performance analytical processing where cloud isn’t an option.
Migrating from proprietary MPP databases to open-source Greenplum.
Combining on-premise Greenplum with cloud storage and processing.
Enterprise reporting on multi-terabyte datasets with complex queries.
Join companies that trust iJKos & partners to build reliable data infrastructure and turn complexity into clear, confident decisions.