Google BigQuery vs Greenplum Database

Google BigQuery has no write-up on Specifiction yet; its figures are above.

Greenplum Database is a PostgreSQL-based, open-source data warehouse for analytics, machine learning, and AI. Its architecture spreads data and query work across a cluster: a coordinator divides queries among segment servers. The project describes it for large analytical warehouses and business intelligence, including petabyte-scale data. Query planning can use GPORCA alongside the PostgreSQL-based planner. Storage options include append-optimized row and column formats, with compression for column storage. PXF connectors connect to Hadoop, object stores including Azure, Google Cloud Storage, MinIO, and S3, and SQL databases through JDBC. External tables can be queried or used to load outside data; PXF also supports querying Apache Iceberg foreign tables. Clients can connect through psql, ODBC, or JDBC. Greenplum is available as a free open-source project under Apache 2, while the commercial VMware Tanzu Greenplum offering is priced on request. It supports on-premises deployment and data lakes. Documented access control covers object privileges; row-level and column-level access controls are not supported.