Data Protection & Archive

CloudSoda combines a robust policy engine with complex filtering capabilities that, when used in conjunction, allows for the establishment of automated data movement policies. These policies are based on numerous variables to identify hot and cold data by accessed or modified time allowing you to filter this data to choose the right storage tier. CloudSoda not only intelligently filters, tags, and moves data between various storage mediums securely, it also allows native access to the data for a variety of applications. In some cases, a customer may see value in rehydrating cold data back to on-prem. In these cases, CloudSoda gives users the ability to predict the time and cost involved allowing customers to make smart decisions on how and where they access their content.

In a typical scenario, legacy data movement applications write data to the cloud as is handled through a single user for the entire organization, making it nearly impossible to identify data movement by user, group, or project. CloudSoda uniquely tags and tracks all data movement by user, group, or project no matter where the data lives giving you a complete cost model for easy billback and chargeback.

A common approach to data protection and archive is the 3-2-1 rule, which simply means keep 3 copies of your data, store 2 backups on different media, and have 1 copy kept offsite. With multiple clouds being used, access to these clouds is imperative. CloudSoda provides the ability to not only access multiple clouds, but to see costs associated with data protection and archiving before making decisions. With CloudSoda's agent technology, multi-site and multi-cloud data protection and archiving enables enterprise-wide access to data sharing or restoration. CloudSoda’s ability to track time and cost between all cloud tiers, whether retrieving or storing, eliminates the fear and the need for complex calculators to estimate your costs.

Many data protection and archive tools force the user to store assets in proprietary formats making it nearly impossible to access and work with assets in the cloud. CloudSoda allows for the uploading and accessing of assets in the cloud in their native format as well as tagging assets for future AI/ML processes. For instance, IoT data, machine sensors, and automotive data can all be tagged and uploaded in their native format for future processing and analytics in the cloud without the need to restore data, saving massive amounts of time and money.