A Gartner revenue‑based DBMS market share chart shows Oracle slipping from the top while cloud giants and fast‑growing newcomers like Snowflake, Databricks and CockroachDB gain ground, and DB‑Engines rankings reveal PostgreSQL’s rise and Oracle’s gradual decline despite still leading overall.
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.
The article explains how PostgreSQL was crowned DB‑Engines 2023 Database Management System of the Year, outlines the ranking methodology, highlights PostgreSQL’s long‑term success, and introduces the runner‑up Databricks and third‑place Google BigQuery along with a history of past winners.
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.
DB‑Engines named Snowflake the 2022 Database of the Year, highlighting its cloud‑native architecture, rapid popularity growth, and strong competition with Google BigQuery and PostgreSQL, while also explaining the ranking methodology and offering a historical view of past winners.
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 September DB‑Engines ranking shows Oracle’s steep decline while MySQL and MongoDB climb, presents top‑10 lists for relational, key‑value, document, time‑series and graph databases, explains the five metrics behind the scores, and advises professionals to choose databases based on business needs rather than pure popularity.
The August 2023 DB‑Engines ranking shows Oracle’s steep 19.5‑point drop, while MySQL and MongoDB surge, PostgreSQL continues rising, and the top‑10 list highlights shifts across relational, key‑value, and document databases, with methodology based on search, job, and community metrics.
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 February 2022 DB‑Engines ranking shows Snowflake’s rapid rise, a sharp decline for Oracle, MySQL and Microsoft SQL Server, stable positions for Elasticsearch, and detailed score trends across relational, key‑value, document, time‑series and graph databases, highlighting five popularity metrics used for the assessment.
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 November 2021 DB-Engines popularity ranking, based on October data, reveals shifts among the top 20 databases, highlights score drops for MySQL, SQL Server and MongoDB, growth for PostgreSQL and MongoDB, and explains the five metrics used to calculate these rankings.
The October DB‑Engines popularity ranking shows the same top‑10 databases as September, highlights score gains for MySQL and PostgreSQL, notes a year‑over‑year decline for the three leading systems, and reveals Snowflake’s rise into the top‑20, all based on five key popularity indicators.
The latest DB‑Engines monthly ranking shows the top nine databases unchanged, highlights a swap between Microsoft Access and Cassandra, notes declines for Microsoft SQL Server and MySQL, and analyzes popularity trends that suggest PostgreSQL and MongoDB may soon surpass SQL Server, illustrated with detailed charts.
The September 2021 DB‑Engines ranking shows Oracle, MySQL and SQL Server plummeting while MongoDB, Snowflake and ClickHouse surge, highlighting a shift toward niche and cloud‑native databases, and the article also recommends ten essential database books for professionals.
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.
The September 2021 DB‑Engines ranking shows major declines for Oracle, MySQL and SQL Server, rapid gains for Snowflake and MongoDB, and highlights emerging time‑series and key‑value databases like InfluxDB, Redis, and ClickHouse reshaping the database market.
The August 2023 DB‑Engines popularity ranking shows Microsoft SQL Server suffering the steepest score decline, while PostgreSQL and MongoDB post significant year‑over‑year gains, and the top three databases also fell, with the report detailing score trends, category rankings, and the five metrics used to calculate popularity.
The DB-Engines April 2021 popularity ranking shows the top ten databases unchanged, major score drops for Oracle, MySQL and SQL Server, steady gains for PostgreSQL and MongoDB, and rapid climbs for Snowflake and ClickHouse, with methodology based on five key popularity indicators.
The DB‑Engines March 2021 ranking evaluates 364 databases, highlighting shifts among the top ten—including Microsoft SQL Server’s steep decline, MySQL’s growth surge, PostgreSQL’s continued rise, and Snowflake’s dramatic climb—while offering trend graphs and insights for professionals choosing the right database technology.
The latest DB‑Engines popularity ranking reveals Oracle, MySQL and SQL Server still dominate the top three, while PostgreSQL, MariaDB, Azure SQL Database and Snowflake surge ahead, highlighting a stable yet evolving landscape where cloud‑native databases are gaining rapid momentum.
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 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.
The June DB‑Engines ranking shows Oracle, MySQL and Microsoft SQL Server holding the top three spots with modest score gains, while PostgreSQL and MongoDB emerge as rising stars despite recent score drops, and cloud providers dominate the product landscape, reshaping the future of database services.
The Q1 2019 DB‑Engines ranking shows Oracle, MySQL, SQL Server, PostgreSQL and MongoDB all gaining points, highlights Oracle's autonomous database boost, details its cloud‑centric financial shift, and underscores the rapid growth of open‑source databases like PostgreSQL, MongoDB, Redis and Elasticsearch.
The 2018 DB-Engines ranking crowned PostgreSQL as the top DBMS, highlighting its 30‑year evolution, strong community, and expanding features, while MongoDB and Redis secured the runner‑up and third places respectively, and the January 2019 popularity scores showed continued shifts among major database systems.
The December 2017 DB‑Engines ranking shows Oracle still on top, while PostgreSQL maintains steady growth, gaining momentum with JSON support and the Citus extension, as developers turn to it over NoSQL alternatives, signaling a potential shift in the database landscape.
The October 2017 DBAplus Newsletter summarizes the newest releases across RDBMS, NoSQL, NewSQL, time‑series, big‑data and domestic databases, highlighting key features, performance improvements, and ecosystem updates while providing links to official documentation and source repositories.
The April 2017 DBAplus Newsletter compiles the latest database releases, DB‑Engines ranking data, feature updates for Oracle, MySQL, MariaDB, SQL Server, PostgreSQL, Hadoop, and emerging domestic systems, while summarizing key new‑SQL, NoSQL, and big‑data developments for database professionals.
The DBAplus Newsletter reviews recent DB‑Engines ranking trends, highlights major releases across RDBMS, NoSQL, NewSQL and big‑data ecosystems, analyzes shifting market dynamics, and lists upcoming community events and resources for database professionals.
