Archive will focus on long-term data retention and compete against AWS Glacier, Microsoft Cool Blob Storage, and IBM Cloud Storage. Credit: Google Google Cloud announced the general availability of Archive, a long-term data retention service intended as an alternative to on-premises tape backup. Google pitches it as cold storage, meaning it is for data which is accessed less than once a year and has been stored for many years. Cold storage data is usually consigned to tape backup, which remains a surprisingly successful market despite repeated predictions of its demise. Of course, Google’s competition has their own products. Amazon Web Services has Glacier, Microsoft has Cool Blob Storage, and IBM has Cloud Storage. Google also offers its own Coldline and Nearline cloud storage offerings; Coldline is designed for data a business expects to touch less than once a quarter, while Nearline is aimed at data that requires access less than once a month. With Archive, Google highlights a few differentiators from the competition and its own archival offerings. First, Google promises no delay on data retrieval, claiming millisecond latency. AWS can take minutes or hours. While Archive costs a little more than AWS and Azure – $1.23 per terabyte per month vs. $1 per terabyte per month for AWS and Azure – that’s due in part to the longer remit for an early deletion charge. Google offers 365 days compared with 180 days for AWS and Azure. “Having flexible storage options allows you to optimize your total cost of ownership while meeting your business needs,” wrote Geoffrey Noer, Google Cloud storage product manager in a blog post announcing the service’s availability. “At Google Cloud, we think that you should have a range of straightforward storage options that allow you to more securely and reliably access your data when and where you need it, without performance bottlenecks or delays to your users.” Archive is a store-and-forget service, where you keep stuff only because you have to. Tape replacement and archiving data under regulatory retention requirements are two of the most common use cases, according to Google. Other examples include long-term backups and original master copies of videos and images. The Archive class can also be combined with Bucket Lock, Google Cloud’s data locking mechanism to prevent data from being modified, which is available to enterprises for meeting various data retention laws, according to Noer. The Archive class can be set up in dual-regions or multi-regions for geo-redundancy and offers checksum verification durability of “11 nines” – 99.999999999 percent. More information can be found here. Related content news High-bandwidth memory nearly sold out until 2026 While it might be tempting to blame Nvidia for the shortage of HBM, it’s not alone in driving high-performance computing and demand for the memory HPC requires. By Andy Patrizio May 13, 2024 3 mins CPUs and Processors High-Performance Computing Data Center news CHIPS Act to fund $285 million for semiconductor digital twins Plans call for building an institute to develop digital twins for semiconductor manufacturing and share resources among chip developers. By Andy Patrizio May 10, 2024 3 mins CPUs and Processors Data Center news HPE launches storage system for HPC and AI clusters The HPE Cray Storage Systems C500 is tuned to avoid I/O bottlenecks and offers a lower entry price than Cray systems designed for top supercomputers. By Andy Patrizio May 07, 2024 3 mins Supercomputers Enterprise Storage Data Center news Lenovo ships all-AMD AI systems New systems are designed to support generative AI and on-prem Azure. By Andy Patrizio Apr 30, 2024 3 mins CPUs and Processors Data Center PODCASTS VIDEOS RESOURCES EVENTS NEWSLETTERS Newsletter Promo Module Test Description for newsletter promo module. Please enter a valid email address Subscribe