Enterprises Deploy Real-Time CDC and Lakehouse Migration Frameworks to TiDB and Databricks

Debezium’s change data capture (CDC) platform streams row‑level changes from a source database’s transaction log to Apache Kafka, where a JDBC sink connector writes the events into TiDB, a MySQL‑compatible distributed SQL database. The guide outlines a reusable pipeline—Debezium source → Kafka → JDBC sink → TiDB—supporting multiple source systems such as MySQL, PostgreSQL, Oracle, SQL Server and others, and emphasizes near‑zero‑downtime migration or continuous replication.

A separate framework advises organizations moving analytics workloads from Google BigQuery to Databricks. It recommends a phased approach: assess the BigQuery estate, prioritize high‑impact dashboards, and use the open‑source Lakebridge toolkit to profile usage and automate migration steps. The strategy focuses on consolidating ETL, storage, BI and AI into a unified lakehouse architecture, improving cost predictability, governance and performance while minimizing disruption.