New Delhi, Dec. 4 -- NetApp and Amazon Web Services (AWS) have introduced a new integration designed to help enterprises use their existing data stores for cloud-based AI and analytics workloads. The update allows Amazon S3 Access Points to work with Amazon FSx for NetApp ONTAP, making ONTAP file data available through the S3 API without requiring data migration. The capability applies to data stored in the cloud and on-premises.
With this integration, enterprise file data held in FSx for ONTAP can be connected to a wide set of AWS services that rely on S3 access. These include AI, machine learning, serverless compute, and analytics tools. Applications that use the S3 API can interact with ONTAP file systems as if they were S3 buckets. The data remains available for traditional file read and write operations, enabling organizations to maintain existing workflows while gaining access to cloud-based services.
Enterprises using FSx for ONTAP can also use ONTAP's built-in replication features to move or sync data across cloud and on-premises systems. This allows organizations to keep data where it is generated while still using it with AWS's AI and analytics services. Access controls can be set via S3 Access Points, allowing teams to tailor permissions for different applications or users.
"By connecting FSx for ONTAP data natively to AWS's wide range of AI, ML, and analytics services, the new integration with Amazon S3 Access Points unleashes the potential to connect to more than 100 exabytes of enterprise data stored on NetApp systems for transformative use cases like generative AI and analytics uses cases built on AWS," said Pravjit Tiwana, Senior Vice President and General Manager, Cloud Storage and Services at NetApp.
NetApp also stated that the approach removes the need to copy or refactor data before connecting it to AI tools, reducing operational steps and retaining existing security controls, including ransomware detection and snapshot protection. The collaboration aims to support enterprise efforts to expand AI adoption by lowering data accessibility barriers across hybrid cloud infrastructure.
Published by HT Digital Content Services with permission from TechCircle.