Compute Close to Data: What Microsoft's pg_durable Says About Where AI Infrastructure Is Going

Microsoft has open-sourced pg_durable, a PostgreSQL extension designed to facilitate durable, fault-tolerant workflows within the database itself, eliminating the need for external orchestrators or complex status-table setups. This extension aligns with the principle of bringing compute close to data, similar to what Pixeltable does with multimodal data like video and audio. pg_durable allows for the definition of workflows as graphs of SQL steps, with execution resuming from the last durable checkpoint in case of failures, thus simplifying development by reducing reliance on cron jobs and external orchestrators. This approach exemplifies a broader architectural shift toward integrating execution state with data, a concept also embraced by AI infrastructure like Pixeltable, which targets multimodal workloads through declarative, incremental compute close to diverse data types. By embedding orchestration within Postgres, pg_durable signals a mainstream acceptance of this paradigm, while Pixeltable complements it by addressing the needs of complex AI applications that require handling diverse media types and advanced model inferences beyond SQL's scope.

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