The database storage problem is solved. Here’s what comes next.
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Postgres is evolving beyond its role as a transactional database into a hub for data interoperability. The core argument is that the database industry has largely solved storage, and the next frontier is reducing unnecessary data movement across analytical systems, AI applications, and downstream services. AI workloads are accelerating this shift by demanding fresher operational data, exposing the cost of maintaining multiple copies across pipelines. Technologies like logical replication, change data capture, and foreign data wrappers are enabling Postgres to participate more directly in broader data ecosystems. The future of Postgres likely lies in extensions that expand its capabilities without compromising its stable foundation.
