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This datapro.news article from March 2025 explores the landscape of real-time databases essential for modern digital applications. It categorises these systems into transactional (OLTP) and analytical (OLAP) types, highlighting the top five databases in each category along with their key features and ideal use cases. The piece provides a framework for data professionals to choose the right database based on their specific needs, from high-speed operational workflows to complex analytical workloads. Furthermore, it touches upon future trends such as the convergence of database functionalities, the growth of serverless options, and the integration of machine learning.
This datapro.news article from March 2025 explores the landscape of real-time databases essential for modern digital applications. It categorises these systems into transactional (OLTP) and analytical (OLAP) types, highlighting the top five databases in each category along with their key features and ideal use cases. The piece provides a framework for data professionals to choose the right database based on their specific needs, from high-speed operational workflows to complex analytical workloads. Furthermore, it touches upon future trends such as the convergence of database functionalities, the growth of serverless options, and the integration of machine learning.