Tarmin Inc. today unveiled the latest release of GridBank, the financial industry's first Data Defined Storage solution that dramatically improves operational efficiency, streamlines data governance and enhances search and analytics.
The latest capability enhancements of Tarmin's GridBank 4.0 Data Management Platform further solidify its innovation leadership in the growing Data Defined Storage market category and helps banks and financial institutions to meet regulatory compliance.
More than 40 percent of organisations say their biggest technology challenge is the rapid growth of unstructured data. Since data is an organisation's primary asset, companies need a solution that unites the application, information and storage tiers into a single integrated data centric architecture. Tarmin GridBank 4.0 builds on the foundation of Data Defined Storage, bringing data together into a massively scalable architecture that addresses data governance challenges, increases business agility and reduces cost. GridBank empowers organisations to securely unlock the value of data assets allowing them to make forward-looking, business-critical decisions in real-time.
"With data growing exponentially, one of the greatest data management challenges is end-to-end protection, governance, discovery and access, no matter the file type, device or social origination." said Steve Duplessie, founder and senior analyst, Enterprise Strategy Group. "Tarmin's latest release of GridBank is tailored to meet all the needs of organizations facing massive growth with unstructured data."
"The needs of the customer are at the center of everything we do and with GridBank 4.0, we're proud to bring further innovation to the Data Defined Storage market," said Shahbaz Ali, Tarmin president and CEO. "Due to the sheer volume of data stored these days, CTOs and CROs are seeking more automated data management approaches and GridBank is a game changer in this space."
The GridBank 4.0 solution enables data intensive organisations such as those in financial services to leverage data as a strategic asset. GridBank's Distributed Metadata Repository embeds the intelligence into the infrastructure so that Financialucture so that Financialigence into the infrastructure so that Financial Services Organisations (FSO's) can point big data analytics tools at the metadata store rather than the broader data repositories, eliminating the need for migration to separate analytics storage pools and enabling real time, data-in-place analytics.
GridBank 4.0 adds support for Enterprise Linux platforms, increasing GridBank's addressable markets and ensuring its applicability for cross-platform multi-petabyte enterprise storage environments. In addition, both Linux and Windows versions of GridBank 4.0 offer secure random access with Enterprise Object Storage and enhanced performance through accelerated location and retrieval of data assets.
Social media streams are increasingly subject to the same compliance mandates as other types of data, including file and email. GridBank 4.0 introduces the industry's first social media REST API that delivers a common interface to any social media provider so that social streams and instant messaging data can be brought into the centralised GridBank storage repository to be indexed and archived for compliance, e-Discovery and analytics.
GridBank 4.0 features include:
• Enterprise Linux support
• CDMI, OpenStack and S3 API
• Sync and Share REST API for 3rd party clients
• Supports Linear Tape File System (LTFS) for libraries, as well as tape in the cloud
• Random access through Enterprise Object Storage
• Policy-driven automatic pool-to-pool and tier-to-tier performance profiling and migration
End-to-End Risk Management
• Social Media REST API delivers common interface to any social media provider
• Supports Outlook Web Access, offline email support and PST management
• Provides support for Android, iPad and iPhone smart clients (BYOD)
• Supports healthcare file formats, including DICOM 3.0
Adding Value to Data
• Windows search capability integrates global data access into existing workflow
• Post processing tagging and policies for enhanced data classification