Enterprise Data

Tarmin GridBank offers a solution unmatched in scalability and design, it can understand the broadest range of data formats with internal filtering and indexing of over 550 file types to satisfy the dynamic needs of organizations faced with accelerating data volume growth in any industry

Enterprise Data Management

Enterprise Data Management

GridBank provides massively scalable data storage and management solutions for enterprise data to meet the challenges of increasing data volume, variety and velocity.

  • Optimize data volumes, eliminate duplicates & consolidate to a single unified view for operational efficiencies
  • Information governance for mitigated data risk, automated migration & simplified regulatory compliance
  • Index over 600 file types & enterprise sources for on-demand data access, accelerated search & e-Discovery

Scale Out Building Blocks

Scale Out Approach

Scale Out Building Blocks

GridBank provides a dynamic petabyte level converged scale out environment, enabling organizations to address the challenges of growing data volumes by dynamically adding resources.

  • Scalable grid-based architecture to store & manage data at multi-petabyte levels
  • Scales linearly by adding additional resources for building block approach with no fork lift upgrades
  • Interchangeable nodes deliver random access parallel IO processing, enhancing grid performance

Multiple Data Types

Multiple Data Types

GridBank can ingest data from any source based on comprehensive governance policies across enterprise infrastructure and manage it using virtually any criteria.

  • Integrated with multiple sources, including files, email, enterprise applications, social media, IM & Hadoop pools
  • Index the widest range of data types & sources, collecting content metadata on all enterprise data
  • Full text content is stored in a distributed metadata repository for on-demand search & discovery
Multiple Sources

Deduplication & Compression

Deduplication

Deduplication & Compression

GridBank automatically applies distributed object deduplication and compression to data storage volumes, limiting the growth of redundant copies.

  • Limit growth of unstructured data volumes through storage reduction technologies
  • Shrink data volumes by around 40-60% through distributed deduplication & compression across the entire grid
  • Reduce TCO by up to 80% by reducing enterprise data volumes & reducing management overheads