The Great Debate: PostgreSQL vs MySQL

Nov 5, 200821 likes11,846 views

This document summarizes a presentation comparing PostgreSQL and MySQL databases. It outlines the strengths and weaknesses of each, including PostgreSQL's strong advanced features and flexible licensing but lack of integrated replication, and MySQL's replication capabilities but immature security and programming models. It also discusses common application types for each database and provides an overview of the EnterpriseDB company.

The document compares the query optimizers in MySQL and PostgreSQL. It finds that the PostgreSQL query optimizer is more advanced, able to handle analytical loads better than MySQL which is better suited for transactional loads. The document covers how each handles configuration, statistics, metadata, indexing, partitioning, joins, and subqueries. It concludes the PostgreSQL optimizer has very good statistics, supports more join types and indexing capabilities, while MySQL has more limited capabilities and some queries require rewriting for best performance.

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This document compares the two major open source databases: MySQL and PostgreSQL. It provides a brief history of each database's development. MySQL prioritized ease-of-use and performance early on, while PostgreSQL focused on features, security, and standards compliance. More recently, both databases have expanded their feature sets. The document discusses the most common uses, features, and performance of each database. It concludes that for simple queries on 2-core machines, MySQL may perform better, while PostgreSQL tends to perform better for complex queries that can leverage multiple CPU cores.

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This document provides an overview of using PostgreSQL for IoT applications. Chris Ellis discusses why PostgreSQL is a good fit for IoT due to its flexibility and extensibility. He describes various ways of storing, loading, and processing IoT time series and sensor data in PostgreSQL, including partitioning, batch loading, and window functions. The document also briefly mentions the TimescaleDB extension for additional time series functionality.

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