DNAfabric: The Unstructured Data
Management Toolset

Ransomware and Hardware/RAID Failures are considered the top 2 NAS threats.

NAS storage has been the workhorse of unstructured data pipelines. These storage platforms are susceptible to age and hardware related failures, malware and ransomware. Preemptively scanning NAS storage provides an early warning against these failures.

Intelligently and periodically scanning a NAS is critical to the early detection of both hardware failures and ransomware corruption. By intelligently probing file metadata and data, DNAfabric is able to provide a report to admins helping them catch ransomware before it spreads or detects HW/RAID failure before it disables the entire NAS.

Despite the flexibility and variety that the cloud provides, unpredictable cloud storage costs and bills are a major hurdle to cloud adoption

The DNAfabric Cloud Cost Modeling tool compares hundreds of cloud providers and tiers across thousands of cost metrics (API, egress, read costs, write costs etc.).

It helps build accurate cost models and enables cost predictability for backup, archive and production workflows in cloud

Indexers analyze and categorize data across file-systems and objectstorage across multiple sites and cloud.

Tracks and generates per-directory reports across size, age, extension, and more.

Creates easy to re-prupose views and graphs via CSV generated reports.

CSV formats readily integrate into BI Tools such as Tableau and PowerBI for richer presentation.

Creates duplicate reports with a linked list directory view enabling duplicate removal.

FS to FS transfers enables LAN backup, archiving and tiering workflows.

FS to Object transfers enables backup, archiving and tiering workflows to public or private object.

Object to FS transfers enables transformative workflows from public cloud to FSs on-premise or in cloud.

Object to object workflows allows for migration and cost effective storage workflows between multiple object providers.

Allows for bulk offloads to removable drives e.g. Snowball/ Snowcone with incremental transfer over the wire.

Supports traditional LTO transfers with open data format (LTFS) and open metadata format (XML).

Object extents is a new “tar” like format designed for object storage. It is optimized both for performance (faster reads and writes) and cast (lower API costs). It accelerates multiple workflows across public and private object storage including backup, archive, DR, physical drive uploads, tiering and more.

Maintains snapshots on target file-systems. (Supports native Isilon snapshots or full file snapshots for all FSs)

Maintains snapshots on target public and private object storage enabling previous point in time recovery

HTML stubs allows for space reclamation on primary storage with easy recovery workflows with support for Avid native workspaces.

Automated deletion and cleanup of files and object allows for space reclamation after workflows. Allows for policies based deletion.

Supports AAF based archiving from any application that can export AAF files. One or more AAFs can be simultaneously parsed where media files are identified and archived or tiered to a target of choice (fs or object).

Supports Adobe production and project based archiving. One or more projects or a production can be simultaneously parsed where media files are identified and archived or tiered to a target of choice (fs or object).

Supports ALE based retrieves from fs or object targets. User exported ALE’s of clips, bins or sequences can be used as a restore ticket. Files are identified in the target that match the ALE and retrieved. NOTE: Partial clips are not auto-created and only full clips are retrieved.

Performs in-line verification of data as it reads and write across all transfer types. Ensures data is not corrupted during transit.

Performs optional read back verification post transfer to ensure data is not corrupted after the transfer process.

Ensures data fixity by performing periodic read backs and comparisons to original checksums. Enables a 3rd party check for data stored in public cloud.

Independently compares a source and target file-system ensuring data has been copied and or synced correctly.

Efficient indexers can help locate duplicate assets across on-premise NAS, object or cloud based storage pools.

Creates a Frame.IO proxy index of hi-res assets stored in deep storage (e.g. on-premise disk, AWS Glacier/Deep, Azure Blob Archive, Google Coldline).

Replaces the Frame.IO manual uploader/downloader with a high performance sync (upload and download) to and from Frame.IO for automated, high performance workflows.

Allows for multiple, selectable resolutions to be downloaded from Frame.IO enabling efficient multi-resolution workflows.

Sync active projects, bins and sequences between Avid EOD and on-premise Nexis systems.

Sync active media workspaces between Avid EOD and on-premise Nexis systems enabling active ingest and transcoding pipelines.

Backup Avid EOD workspaces to cost effective secondary storage e.g. AWS Glacier, Azure Archive

Archive Avid EOD media and workspaces to secondary storage e.g. AWS Glacier, Azure Archivewith the ability to leave behind cost effective stubs.

Utilize HDD cloud ingest drives e.g. Azure Data Box, AWS Snowcone to bulk ingest content into Avid EOD.

Sync active projects, bins and sequences between Avid EOD and on-premise Nexis systems.

Sync active media workspaces between Avid EOD and on-premise Nexis systems enabling active ingest and transcoding pipelines.

Utilize best of breed UDP protocol accelerators including Filecatalyst and Expedat.

Application agnostic sync technology allows for syncing of multiple application databases.