Get the right data on time with a data fabric
Moving towards multicloud environments, data architectures only get more complex with added sources, applications and requirements. Multicloud data integration democratizes access and enables interaction, transformation and delivery of enterprise data across silos, providing a unified, governed and secure data connectivity layer for a data fabric.
How it’s used
Transformation and quality
Turn raw data into quality info, fast
Transform large amounts of raw data quickly — any format, complexity or size — into consumable, quality information.
Simplify real-time data integration
Deliver updated and trusted data to make better business decisions.
Simplify data governance and maintain privacy
Understand and govern all enterprise data to manage risk and accelerate insights.
Break down data silos
Get a single view of data across different data types and sources — without data movement and in a secure, governed fashion.
Benefits of multicloud data integration
A data fabric architecture spanning many integration styles
Empower with self-service
Enable users to find, collaborate and access high-quality data.
Take advantage of a range of integration styles to meet business needs, including ETL and ELT, replication and virtualization.
Make trusted data available
Embed governance by using data policies to maximize performance and data quality, while minimizing storage and egress costs.
Minimize data movement and reduce egress costs in multicloud environment.
Automate complex data management tasks and universally discover, integrate, catalog, secure and govern data.
Get the trial at no cost
Integrate data across any cloud using a data fabric.
If you really want to create this culture of people working with data, consuming data, making decisions based on data, it starts with having easy access to data.
Chief AI Architect
After just a few days of highly successful testing, we incorporated DataStage for IBM Cloud Pak® for Data... IDLs of 60 million records that had taken three days were completed in just about three hours.
Global Chief Data Officer