Press release

MarkLogic Data Hub Central Now Available, Bringing Agility and Ease of Use to Data Integration and Management

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Sponsored by Businesswire

MarkLogic Corporation, a leader in cloud data integration and data management, today announced the general availability of MarkLogic Data Hub Central, a new low-code/no-code user interface for MarkLogic Data Hub.

Data Hub Central is deployable in any environment alongside MarkLogic Data Hub – on-premises or cloud – and comes packaged with MarkLogic Data Hub Service. It brings agility and ease of use to an organization’s data infrastructure and gives organizations a clear pathway to cloud modernization.

With the addition of Data Hub Central, the entire end-to-end process of integrating and managing data is more collaborative, agile, and reliable.

Data Hub Central provides a shared interface for data engineers, data architects, and business users to collaborate on curating, accessing, and sharing data. It brings users closer to the data and provides more flexibility for schema evolution and data sharing. And, because Data Hub Central is built on MarkLogic’s enterprise-grade multi-model database, it keeps data consistent, governed, and secure while also providing scalability and high performance.

“Data teams don’t want ETL delays and rework when things change,” said David Gorbet, SVP of Product at MarkLogic. “Data Hub Central removes bottlenecks and allows organizations to get value from their data faster by iteratively building a centralized repository of durable data assets.”

To learn more about Data Hub Central, read the blog post announcement.

About MarkLogic

Data integration is one of the most complex IT challenges, and our mission is to simplify it. MarkLogic Data Hub Service is a highly differentiated data platform that eliminates friction at every step of the data integration process, enabling organizations to achieve a 360° view faster than ever. By simplifying data integration, MarkLogic helps organizations gain agility, lower IT costs, and safely share their data.