Aparavi, a leader in the multi-cloud data management space, announced major enhancements to its Active Archive℠ platform, delivering improved resource management and operational efficiency, as well as enhanced insight and management of archived data. New features include direct-to-cloud data transfer along with the next generation of data classification, tagging, and full-content search. Enhanced multi-cloud management includes the addition of several new cloud destinations, along with bulk data migration across clouds.

Launched May 2018, Aparavi Active Archive is being embraced by organizations grappling with the huge volume of unstructured data retained for purposes such as compliance, historical reference, and business reporting/analytics. Aparavi’s intelligent multi-cloud data management provides the ability to actively manage data for long-term policy-based retention, open access, and re-use, while providing an easy path to multi-cloud adoption.

New features include:

Direct-to-cloud for improved resource management and operational efficiency

Direct-to-cloud provides the ability to archive data directly from source systems to the cloud destination of choice, with minimal local storage requirements. This substantially decreases the on-premises storage and compute requirements, greatly simplifies set up, and removes the need for a dedicated software appliance. On-premise storage resources do not need to be allocated for data staging, and data can be pushed directly to one or more cloud destinations.

Next-generation data classification and tagging for better management and simplified access

Updated classification and tagging capabilities make it simple to classify data based on individual words, phrases, dates, file types, and patterns. Users can easily identify and tag data for future retrieval purposes such as compliance, reference, or analysis. Examples would be classifying all PHI (Personal Health Information), PII (Personally Identifiable Information), or legal files. Aparavi includes pre-set classifications of “confidential,” “legal,” and PII; ad hoc additions are easily created with a few simple steps.

Next generation search for greater insight and access

An intuitive query interface allows users to find any data wherever it resides in the archive, whether on-premises or in one or multiple clouds, without having to know the location. Aside from “Google-like” full-content search by words, phrases, or patterns files can be searched by their metadata, including classification, tag, date, file name, file type, or optional wildcards. Results are returned intelligently in context for easier identification, and are viewed in the cloud or storage destination without retrieving until requested. Current file types supported include any text file, PDF, and modern Microsoft Office formats. Future updates will add images and older Microsoft Office formats.

Enhanced multi-cloud management and bulk-data migration

Additional cloud destinations have been added and together include AWS, Backblaze B2, Caringo, Cloudian, IBM Cloud, Microsoft Azure, Oracle Cloud, Scality, and Wasabi. Aparavi’s multi-cloud support enables users to select the best destination for their data, and adds support for new bulk migration to move data easily from one location to another, including on- or off-premises. Users can now take advantage of changing cloud economics at any time.

For more information visit http://www.aparavi.com