October 10, 2025
Cambridge, UK – 10 October 2025 – DB-Engines has today released its Q3 analysis of the database industry rankings and top climbers. While Oracle retains its position as the most popular database management system (DBMS), this quarter highlights continued growth from Snowflake and Databricks, reflecting the accelerating shift towards cloud-native and AI-driven data platforms.
New Q3 data from DB-Engines reveals the fastest-growing databases of the past quarter, with Snowflake leading the way, followed closely by Databricks and Splunk. The results underscore the growing momentum of cloud-based ecosystems and the increasing role of machine learning and analytics in modern data strategies.
Snowflake takes the top spot as Q3’s biggest climber, extending a strong growth trajectory throughout 2025. Its cloud-native architecture – offering elastic compute, seamless data sharing, and multi-cloud flexibility – continues to resonate with organizations modernizing their data stacks. The platform’s recent enhancements around AI and large language model integration have further cemented its relevance in the evolving enterprise data landscape.
Databricks remains close behind, continuing its impressive rise through 2025. Building on its lakehouse architecture, which unifies data engineering, analytics, and AI workloads, Databricks is seeing sustained adoption across industries aiming to simplify complex data environments. Its performance in Q3 marks another step in its steady ascent since early 2024.
Splunk rounds out the top three climbers this quarter, highlighting increased interest in platforms that bridge observability, security, and machine learning.
Grant Fritchey, Redgate Advocate, comments: “Snowflake and Databricks have firmly established themselves as leaders in the new era of data management. Their consistent growth through 2025 shows how cloud, AI, and analytics are converging to drive real business value.
“As the database landscape continues to evolve, we’re seeing a strong mix of innovation and consolidation. The leaders are those that can adapt – offering flexibility, performance, and the ability to meet diverse data needs in increasingly hybrid environments.”
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