September 2025 Summaries

In 2025, a comprehensive report based on a survey of over 330 teams from 50+ countries and various industries reveals insights into how organizations build and utilize data stacks. Key findings include the dominance of PostgreSQL for both transactional and analytics workloads, and the observation that many teams, even within large companies, consist of only 1-3 people. Interestingly, about half of the respondents do not use specialized tools like data warehouses or lakes for storing analytics data, despite separating it from transactional data. The report also highlights the widespread adoption of AI querying and code generation, although trust in AI results is notably low, especially among technical professionals. It emphasizes that tool integration is more crucial than individual tool quality for a smooth data stack operation, with ingestion/ETL tools playing a pivotal role. The methodology involved using Metabase for data analysis and visualization, demonstrating the tool's capabilities in handling and presenting complex survey data.