Don’t Integrate Data – Connect It!

Data integration can involve either physically copying data through ETL, ELT, or change-data-capture pipelines or virtually connecting to source systems in real time. CData Connect AI is presented as a platform for creating secure virtual datasets that allow tools such as spreadsheets, BI platforms, and automation applications to query live source data without maintaining replicas, warehouses, or synchronization jobs. This approach can reduce costs, accelerate setup, preserve data freshness, and limit governance risks by keeping sensitive information within existing systems and compliance boundaries. Live connections are positioned as particularly suitable for ad-hoc reporting, self-service analytics, and automations that require current records, while data replication remains useful for large historical analyses, machine learning, disaster recovery, and intensive transformations. The recommended strategy is often a hybrid architecture, using Connect AI for immediate access to operational data and CData Sync to archive, transform, or replicate data for long-term analytical needs.

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