NetApp's offerings, such as ONTAP and StorageGRID, enable the separation of storage and computing, enabling optimal resource utilization based on specific requirements. This flexibility empowers customers to independently scale their storage using NetApp storage solutions

By leveraging NetApp's storage controllers, customers can efficiently serve data to their vector database using NFS and S3 protocols. These protocols facilitate customer data storage and manage the vector database index, eliminating the need for multiple copies of data accessed through file and object methods.

NetApp ONTAP provides native support for NAS and Object storage across leading cloud service providers like AWS, Azure, and Google Cloud. This broad compatibility ensures seamless integration, enabling customer data mobility, global accessibility, disaster recovery, dynamic scalability, and high performance.

Easy-to-use self-service analytics enabled through a universal semantic layer and a tightly integrated, highly performant SQL query engine, making it easier to connect, govern, and analyze all data, both in the cloud and on-premises.

Dremio’s Apache Iceberg-native lakehouse management capabilities simplify data discovery, and automate data optimization, delivering high-performance analytics with Git-inspired data versioning.

Foundationally built on open source and open standards, Dremio enables companies avoid lock-in and remain positioned for innovation. Enterprise companies trust Dremio as the easiest-to-use lakehouse platform with the best price performance across all workloads.

Improved Data Management and Accessibility: Dremio is well-known for its data lakehouse platform that enables organizations to query data directly from their data lakes at high speed. NetApp, on the other hand, is a leading provider of cloud data services and data storage solutions. The joint offer provides customers with a comprehensive solution for storing, managing, accessing, and analyzing their enterprise’s data efficiently and efficiently.

Performance Optimization: With NetApp's expertise in data storage and Dremio's capabilities in data processing and data optimization, the partnership offers a solution that improves the performance of data operations, reduces latency, and increases speed to business insight. Dremio has even delivered performance benefits to NetApp’s own internal IT analytical infrastructure.

Scalability: Both Dremio and NetApp offer a solution that is designed to scale. The joint solution provides customers with highly-scalable data storage, data management, and analytics environments. In a Hybrid Iceberg Lakehouse environment, the Dremio SQL query engine paired with NetApp StorageGRID delivers unparalleled scalability, concurrency, and query performance, capable of handling the analytical needs of any business.

Data Security and Governance: Both companies have a strong focus on data security and governance. Together, they offer robust security and data governance features, ensuring that data is protected and that data governance requirements are met. Features such as role-based and fine-grain access controls, comprehensive auditing, end-to-end data lineage, unified identity management, and SSO with an extensive compliance and security framework ensure companies' analytical data environments are secure and governed.

Cost Efficiency: By integrating Dremio's data lake engine with NetApp's storage solutions, customers can reduce costs associated with data management and data movement. Organizations are also able to move from legacy data lake environments to a more modern lakehouse solution composed of NetApp and Dremio. This Hybrid Iceberg Lakehouse solution delivers high-speed query performance and market-leading query concurrency that lowers TCO and reduces time to business insight.