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We are designing an automation pipeline that requires synchronizing data between legacy internal relational databases and external modern event-driven services.

The primary friction point is latency and data schema drift. Whenever legacy tables get updated, maintaining pipeline throughput without breaking downstream syncs has been difficult to manage cleanly.

Our team has been looking into dedicated [https://binate.ai/services/automation-and-integration]enterprise automation and integration architectures[https://binate.ai/] to see how modern shops handle custom data bridges and middleware.For teams running hybrid setups, do you recommend CDC tools like Debezium, lightweight custom event workers, or full ETL orchestration frameworks like Airflow for near real-time operational loads?

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  • Latest Post Latest Post by rproffitt
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To the one question, no. We went classic with lock, transact, unlock. I will not go into any depth here. This is IMO the same old discussion about how to handle transactions and is done to a crisp.

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