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Oracle’s post‑acquisition strategy has left MySQL lagging behind modern developers, while PostgreSQL, praised for features like parallel queries and vector search, now dominates the open‑source database market, prompting calls for MySQL’s transfer to the Linux Foundation to avoid obsolescence.
This article analyzes the popularity, success metrics, distributed versus centralized architectures, TPC‑C benchmark relevance, and a detailed feature comparison between MySQL and PostgreSQL, concluding which system currently leads in real‑world OLTP deployments.
The article evaluates database success by comparing PostgreSQL and MySQL across popularity, features, licensing, transaction behavior, MVCC, concurrency models, and use cases, showing PostgreSQL leads in complex queries and feature richness while MySQL remains the most widely used OLTP system, especially in China.
The September 2023 DB-Engines ranking update shows Oracle’s steep decline, while MySQL and MongoDB gain points, and presents the top ten databases across relational, key‑value, document, time‑series, and graph categories along with the five metrics used to calculate popularity.
The July 2023 DB-Engines ranking shows Oracle, PostgreSQL and MongoDB slipping, while MySQL and Microsoft SQL Server climb, and provides detailed scores, trend charts, and the methodology behind the monthly popularity scores for the top ten database systems.
The May 2023 DB-Engines ranking shows Oracle gaining the most points while MySQL and SQL Server plunge, and PostgreSQL and Redis surge dramatically, with detailed score changes, top‑10 lists across database categories, and the methodology behind the popularity metrics.
The March 2024 DB‑Engines ranking reveals Oracle, MySQL and SQL Server losing ground while PostgreSQL surges, Snowflake climbs, and detailed top‑10 lists across relational, key‑value, document, time‑series, and graph databases illustrate shifting popularity trends based on five industry metrics.
The article presents DB‑Engines' September 2021 ranking of 378 databases, analyzes trends such as the rise of domestic systems, highlights leading time‑series and key‑value databases, and announces a community book‑giving event with ten recommended database titles.
The September 2021 DB‑Engines ranking shows longtime leaders Oracle, MySQL and Microsoft SQL Server losing hundreds of points, while MongoDB, Snowflake and ClickHouse surge in popularity, Redis and InfluxDB dominate their niches, and the report stresses that selecting a database should prioritize business needs over mere ranking.
This weekly newsletter presents the June DB-Engines database popularity ranking, explains its methodology, shares community resources such as Mycat diagnostics and MySQL tips, outlines DBLE and DTLE development updates, bug fixes, upcoming plans, and invites community feedback.
The June 2020 DB-Engines ranking shows a stable top‑10 worldwide while Chinese domestic databases surge in popularity, driven by pandemic control, new‑infrastructure policies, and strong performance in cloud and financial sectors, with notable gains from openGauss, PolarDB, and OceanBase.
This weekly newsletter summarizes the March DB‑Engines database ranking, explains its methodology, shares curated MySQL articles and tools, and reports the latest development, bug‑fix, and roadmap updates for the open‑source middleware projects DBLE, DTLE, and TXLE.
This weekly community briefing summarizes the February DB‑Engines ranking trends, announces MySQL 5.6's upcoming end‑of‑life, and highlights recent development, bug‑fix, and release activities for the open‑source middleware projects DBLE, DTLE, and TXLE, along with several technical deep‑dive links.
This weekly newsletter summarizes the latest DB‑Engines December ranking, PYPL top‑10 database trends, new features and bug fixes in the DBLE, DTLE, and TXLE middleware projects, and includes community announcements and links to detailed videos and articles.