Qumulo Cloud Data Fabric is an enterprise solution for managing unstructured data, addressing the challenges of traditional network-attached storage appliances. It facilitates data portability, allowing organizations to take advantage of the economic and operational benefits of private, public, and hybrid clouds. This platform enables the rapid acquisition of talent and partnerships regardless of geographic location and enables organizations to utilize public cloud services based on capability, availability, and cost, ultimately driving market competitiveness and advantage.

Qumulo Cloud Data Fabric removes the technical and economic barriers to making data available where and when it is needed. It consists of five core features that are directly integrated into the Qumulo Cloud Data platform. This delivers a unique solution that seamlessly integrates edge, data center, and cloud into a single cohesive data platform, where data is accessible where and when it is required, instantly.

At its core, the Cloud Data Fabric is powered by Global Namespace which provides visibility and access to all files combined with a strictly consistent, geographically distributed, high-performance cache to enable data to be accessed anywhere. Strict consistency across the fabric eliminates the risk of accidental corruption and maintains application integrity, simplifying integration with existing applications. In addition, file permissions and metadata are immediately consistent across the entire Cloud Data Fabric. Changing permissions on a file will immediately update permissions across all different locations where that file is visible.

Predictive caching combines heat map technology with patented statistical models to analyze data access patterns and intelligently prefetch data that can be cached before it is requested based on client activity. As users or applications access files in a Global Namespace, the data is persistently cached locally allowing subsequent requests for the same data to be served from the local cache, significantly reducing WAN round-trips and providing sub-millisecond performance for users and applications. The cache is automatically managed, maintaining active data and metadata while evicting stale data as it fills up.

Data Portals are a core technology of Cloud Data Fabric that facilitates the transfer of data between Qumulo instances, providing real-time access to data without users needing to know that it's stored remotely in another data center or in the cloud. Organizations can create a Data Portal instantly anywhere within the Qumulo Cloud Data Fabric. This capability allows them to scale from a single Edge node in branch offices to thousands of cores, accommodating the most demanding high-performance burst compute and AI workloads, and to scale down again once the demand decreases.

The Data Portal controls access and manages the remote cache, evicting the least recently accessed data. If the Data Portal is terminated, all cached data and metadata are cleared from the cache, ensuring no further access is possible. This feature allows organizations to share all of their data or specific subsets, thereby improving data governance, security, and compliance with regulatory requirements.

All data transferred across a Data Portal is transferred in blocks independent of the file access protocol, accelerating application responsiveness. When a user accesses a file, SMB and NFS are terminated locally, and the Data Portal transports metadata and data blocks between a hub and spokes. When a user writes to a file, only the blocks that have been written need to be updated across the fabric, not the entire file, which reduces data transferred and improves performance. This combination of data block with local protocol termination and acknowledgment improves application responsiveness and accelerates data transfers when compared to running native file access protocols across WAN links.

Qumulo's Cloud Data Fabric provides extensive metadata through a RESTful API, enabling advanced data analytics for informed business decisions. It allows for quick data discovery, helping users locate files by criteria like creation date, size (e.g., over 256GB), and access patterns. Users can search for specific keywords to analyze file content and track access and modifications for better data governance. With the Qumulo Copilot Connector, customers can use generative AI to uncover insights in unstructured data. The RESTful API also facilitates custom workflows and automation to enhance operational efficiency.

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