Range data types in PostgreSQL: speeding up queries
Summary
This article compares Oracle and PostgreSQL performance on a range-based query workload and shows how PostgreSQL can be tuned to run faster. It explains how using PostgreSQL range types and GIST indexes can improve query speed versus a design based on separate start and end date fields with BETWEEN filtering. The article walks through the test setup, including Oracle 19 and PostgreSQL 15, and describes the benchmark conditions. It concludes that restructuring the schema and indexing strategy can significantly improve search performance in PostgreSQL.
Classifications
industries
Fintech & Banking
applications
Call Center Management
AskAI Classifications
Labels
Telecommunications Software
BSS Software
IoT Software
Linked Companies
Nexign
$100M to $250M