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This article discusses the shift from the modern data stack to a postmodern approach driven by AI. It highlights the need for integrating structured and unstructured data to support AI systems, illustrated by recent strategic acquisitions in the industry. The focus is on observability and understanding AI usage to foster growth.
This article reviews the significant acquisitions and developments in the modern data stack throughout 2025, including the merger of Fivetran and dbt, and IBM's acquisition of Confluent. It highlights the impact of these changes on open-source projects and the evolving landscape. The piece also shares a customer success story illustrating Streamkap's role in adapting to these shifts.