Boomi Introduces New Change Data Capture for SAP Data

Boomi, a provider of AI-driven automation, announced the general availability of native Change Data Capture (CDC) for SAP data. The new feature is available worldwide immediately and enables enterprise teams to securely import data from ECC, S/4 Hana, and SAP Business Warehouse (BW) into any cloud data lake or cloud data warehouse without writing a single line of code. With instant access to critical SAP data across the enterprise, organizations can respond more quickly to insights, improve operational agility, and better support AI and analytics initiatives.

“This launch is an important milestone for SAP customers looking to modernize their data infrastructure,” said Mani Gill, VP of Product for Data and AI at Boomi. “By combining multi-table ingestion, integrated CDC, and schema-aware transformation, we unlock SAP data for real-time decision making without requiring specialized expertise or custom development.”

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„This launch is an important milestone for SAP customers who want to modernize their data infrastructure.“

Mani Gill,
VP of Product for Data and AI,
Boomi.

With SAP customers generating 84 percent of all global commerce and 98 of the world's 100 largest companies using SAP (Source), the ability to easily access and leverage SAP data is critical to driving innovation and operational efficiency.

Boomi's new CDC capture feature helps companies modernize their analytics with minimal effort, as SAP data can be captured in minutes without Abap coding. By combining SAP and non-SAP data in real time, companies can reduce the time to insight for both AI and business intelligence use cases.

Unlike proprietary integration tools, Boomi offers flexibility and freedom of choice, allowing customers to feed data into any cloud data lake or cloud data warehouse without being tied to a specific vendor. The solution also reduces costs and resource requirements by eliminating the need for custom SAP development and simplifying ongoing maintenance. Above all, it meets the requirements of modern IT architectures and enables companies to develop scalable, cloud-native, and AI-driven data strategies for the future.

“Reliably extracting data from critical enterprise applications such as SAP for operational and analytical workloads has always been a technical challenge,” said Matt Aslett, Director of Research, Data and Analytics at ISG. “Products that simplify access to and processing of data are becoming increasingly important for improving business agility and supporting AI and analytics strategies at scale.”