We recently commissioned International Data Corporation (IDC) to evaluate the use of Nutanix Objects Storage for modern, data-intensive workloads. IDC examined the evolution of Object Storage which has ranged from cold data repositories for backups and archives to newer, high-performance object stores for data-intensive workloads. The study also involves insightful interviews with Nutanix customers who are using Nutanix Objects Storage for analytics workloads.
Software-defined storage, built on a distributed architecture and designed to span on-premises datacenters, edge sites, and public clouds offers advantages over traditional SAN and NAS systems. As a part of Nutanix Unified Storage (NUS), Nutanix Objects Storage is a highly performant, cloud-native, and massively scalable software-defined object storage solution. This seamlessly integrates with analytics platforms and query engines from anywhere - whether it be at the edge, core or in the cloud. With the capability to run queries on select partial content objects, Nutanix Objects Storage significantly accelerates application queries drastically for quicker insights.
Key Benefits of Nutanix Objects Storage for Modern Workloads
IDC’s analysis highlights Nutanix Objects Storage as a compelling choice for modern data-intensive workloads, offering the following key benefits:
- Organizations can start with a small footprint and scale performance and capacity in a linear fashion to a maximum of 48 nodes and multi-petabytes per Objects cluster, with options to federate multiple Objects clusters under a single shared namespace
- For primary use cases, Nutanix Objects Storage is validated or in the process of being validated for use with the Vertica, and Snowflake analytics platforms.
- Snowflake customers can run queries directly against data stored in Nutanix Objects Storage on-premises, without first having to copy the data set to the Cloud.
- Nutanix Objects Storage is designed to support any query engine that works with HDFS and/or S3, including open-source Apache Spark SQL, Presto, and Trino.
- For secondary storage, Nutanix Objects Storage is validated with Confluent Kafka and Splunk (as a SmartStore solution).
- Nutanix Objects Storage supports queries on select portions of data sets to help speed up query completion.
- Nutanix Objects Storage supports data filtering at the object storage level, thus dramatically reducing the application CPU overhead and network traffic associated with a select query.
Based on the findings, enterprises going through infrastructure modernization efforts driven by digital transformation should consider software-defined data services platforms like Nutanix Unified Storage (NUS). Access the IDC whitepaper "The Use of Object Storage for Modern Data-Intensive Workloads Requiring High Performance” for detailed insights.
For an in-depth analysis of payloads, and performance improvements achieved from deploying Nutanix Objects Storage for Vertica, Hadoop/Spark with Objects (TeraGen benchmark), Kafka and Splunk, refer to the blog: Exploring the High-Performance Capabilities of Nutanix Objects
- Access the Objects IDC whitepaper: The Use of Object Storage for Modern Data-Intensive Workloads Requiring High Performance
- 2023 Gartner Magic Quadrant: Nutanix is a Visionary for Distributed File Systems and Object Storage
- Access the ROI tool to estimate business value: https://unified-storage-roi.com/
- Access the NUS IDC whitepaper: Business Value of Nutanix Unified Storage
- Webpage: Nutanix Unified Storage
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