Turn scattered enterprise data into an intelligent data fabric for AI and analytics without disrupting existing systems
When enterprise data lives everywhere, teams need a simpler way to find it, integrate it and use it. Data fabric solutions link scattered data sources, improve data quality and embed data governance for a unified data experience. The result? A flexible data architecture that helps you move faster, make smarter decisions and prepare for what’s next.
Next-generation data fabric is hybrid by design and can run anywhere, on-premises or in any cloud environment. A modern data fabric platform overlays existing systems to connect data sources, streamline data access, integration and governance so business and AI projects start with reliable context, not manual wrangling.
Built for enterprise deployment, IBM data fabric solutions optimize scalability across regulated, high-volume, hybrid environments without requiring a full platform rip-and-replace.
Connect data across disparate data sources and environments using batch, streaming, CDC and virtualized pipelines so data can move freely across clouds and onprem systems.
Apply policies centrally to protect sensitive data, manage access and simplify audits across every ecosystem.
Standardize on interoperable data fabric tools that work with what you already have.
Boost data readiness for AI by integrating and enriching structured and unstructured data with context.
Using the right data fabric tools is key to getting your enterprise data ready for real-time analytics and generative AI at scale. IBM products work together to unify access, streamline integration and embed governance–so you can find, use and secure your data wherever it is.
An open, hybrid data lakehouse that unifies access to structured and unstructured data, built for performance and AI readiness.
Centralize governance and apply responsible AI policies to keep data and data sources secure, compliant, and auditable across your ecosystem.
Simplify data delivery with pipelines for batch, streaming and CDC, designed for hybrid environments.
Use AI-powered discovery, metadata management and automation to make data easier to find, understand and trust across your enterprise.
Protect sensitive data with advanced security and monitoring across hybrid and multicloud environments.
Unlock insights faster with data analytics solutions tailored to your business goals and data sets.
Establish responsible generative AI practices with governance models that ensure compliance and trust.
Safeguard critical data assets with enterprise-grade security services and proactive risk management.