The Cloudian secure hybrid data lake is a scale-out, on-premises data repository. Shared, scalable, and secure, it can house unstructured data of all types for use cases including AI, data observability, data protection, and more. It offers a unique combination of capabilities that make it ideal for capacity-intensive workloads that require cloud-like capabilities, but … Read More
Apache Kafka is a powerful tool for building real time streaming applications. Cloudian HyperStore integrates easily with Kafka to provide an equally powerful, limitlessly scalable data lake. This integration offers a myriad of benefits, revolutionizing the way data is managed and processed. In this blog, we will first outline the advantages of incorporating Cloudian HyperStore … Read More
In a unified data management environment, the integration of Cloudian and Dremio offers organizations a robust solution for self-service analytics with a cloud-scale data lake. Dremio’s Unified Lakehouse Platform enhances data analysts’ ability to perform exploratory analysis and visualization, providing swift query responses. It streamlines the workflow for data engineers by allowing in-place data management … Read More
AWS Mountpoint for S3 enables direct, file-system-like access to S3-compatible storage While traditional object storage interfaces require specific S3 API calls for data access and manipulation, AWS Mountpoint simplifies this process by allowing standard Linux file operations to interact with object storage, thus bridging the gap between object storage and file-based applications. Just as important, … Read More
Machine learning workflows can require significant storage capacity, particularly when imaging data is in use. Now PyTorch users have an easy way to deploy limitless storage capacity on-prem. The Cloudian contribution to the PyTorch Amazon S3 Connector repository allows PyTorch users to connect to Cloudian HyperStore S3-compatible storage, providing local capacity that is secure and … Read More
In the evolving landscape of enterprise storage, the distinction between scale-up and scale-out storage architectures remains a focal point. As organizations face exponential data growth, understanding the nuances of these architectures is crucial for efficient storage management and expansion. Storage capacity is the primary benchmark for evaluating storage devices, closely followed by the ease of … Read More
Machine learning requires efficient access to training datasets. Today, Cloudian announced an open-source software contribution that fuses PyTorch, the widely acclaimed machine learning library, with local Cloudian HyperStore S3-compatible storage solutions. This pioneering development is set to accelerate machine learning workflows by allowing PyTorch users on AWS Hybrid Edge solutions to directly access local data … Read More
A prominent telecommunications company in the United States, serving a massive customer base in the wireless segment, faced a significant challenge in managing its data. With the need to store and analyze data from hundreds of millions of wireless calls daily, the company required a robust and scalable storage solution to manage log data for … Read More
