Nutanix Objects is a modern, software-defined, scale-out object storage solution that excels in a number of use cases requiring S3-compatible storage. One such use case is big data, which really is more  an umbrella term encompassing everything from analytics to artificial intelligence and machine learning (AI/ML). Typically big data workloads involve storing huge amounts of data, but at the same time they require high IOPS, low latency access to the data. For example, many analytics solutions support interactive queries, which must be responded to in a timely manner. With its blazing performance, features optimized for analytics workloads and application vendor validations in this space, Objects is a fantastic fit for the needs of big data - the ideal basis for your data lake.

A white paper written recently by IDC discusses the role of modern object stores in the world of big data, and in particular Nutanix Objects. The paper shares interesting insights into the growing object storage market, and discusses the advantage of using a modern, software-defined object store with strong performance in meeting the ever increasing demands of analytics and AI/ML workloads. Performance benchmark numbers achieved by Nutanix Objects running on a 4-node all-flash cluster are discussed, along with linear performance scaling. The paper also discusses the benefits that two real world organizations have seen by leveraging Nutanix Objects for their big data needs. Check it out here: https://idcdocserv.com/US51304223