INTELLIGENT DATA MOBILITY FOR REAL-WORLD WORKFLOWS

Right data. Right place. Right cost.

We transform data mobility from a reactive task into a proactive, intelligent process. Whether triggered manually or automated by policy, every move is driven by metadata insight—so files go exactly where they should, when they should, with full cost awareness. The result: lower spend, better performance, and faster, safer lifecycle decisions.

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Move data confidently—with context and control.

Modern data estates demand more than storage—they require intelligent movement. Tiering and lifecycle automation keep data aligned to value and purpose, moving seamlessly across hot, warm, and cold tiers. With metadata-driven rules and policy automation, teams can retain, archive, or delete data by age, cost, and usage—improving efficiency and compliance while protecting data throughout its lifecycle.

Automate your data tiering.

Keep your storage footprint and spending in check.

Tiering ensures data lives on the right tier at the right time. High-performance workloads stay on fast flash storage, while less active or archival data automatically flows to lower-cost tiers — maintaining an optimal balance between speed, accessibility, and cost efficiency.

Most data isn't active—yet it's stored like it is. Tiering ensures data lives on the right tier at the right time. High-performance workloads stay on fast flash storage, while less active or archival data automatically flows to lower-cost tiers — maintaining an optimal balance between speed, accessibility, and cost efficiency.

Automate your data lifecycle.

Turn lifecycle workflows into measurable end-to-end wins.

Lifecycle automation takes data beyond simple storage. From creation to archival or deletion, data moves intelligently based on policies and business workflows—ensuring compliance, maintaining protection and recoverability, reducing manual intervention, and keeping infrastructure clean and sustainable.

This diagram shows how Visual Data Media Services uses the Telestream Vantage and GLIM plugins in their facility for localization services. The Diskover AutoClean plugin is also part of the workflow automation.

Diskover data mobility.

Diskover transforms unstructured chaos into orchestrated intelligence. Through metadata-driven indexing, tagging, and automation, it ensures the right data moves at the right time—fueling lifecycle management, analytics, and AI pipelines.

Connect anywhere.
Connect to CloudSoda, Dell SmartSync, and other movers across on-prem, cloud, and hybrid storage—so you can orchestrate mobility actions across any system and tier.
Built for scale.
Diskover’s distributed architecture keeps discovery and mobility fast and responsive—so even billion-file environments stay efficient and manageable.
Automate with purpose.
Automate cleanup, tiering, and migration using rich metadata and business context—so every move happens at the right time, to the right tier, for the right reason.
User-triggered control.
Let authorized users initiate moves directly from Diskover—combining policy automation with on-demand actions when teams need control.
Diskover Data Mobility: Framework for Data Pipelines and Automation
Flexibility for optimized data mobility.
Diskover interface showing user-triggered data movement via the File Action menu. Demonstrates integration with RClone for archiving, along with analytics for directory size, file count, and cost visibility—empowering users to act directly from search results.
Self-service data movement.

CloudSoda data mobility.

CloudSoda data mover orchestrates mobility across any environment—organizing, preparing, and delivering data securely at speed and scale. With dry-run simulations, detailed logs, and high-performance transfers, it delivers precision you can trust—ensuring every move is fact-based, compliant, and cost-efficient.

High-performance engine.
A proven, high-performance transfer engine built for speed, reliability, and scale—accelerating large, distributed jobs across massive environmentsments.
Vendor agnostic.
Move data across on-prem, cloud, and hybrid environments—across all storage tiers—without locking into a single platform.
Robust tracking & reporting.
Monitor jobs in real time with detailed logs and analytics that simplify auditing, streamline accounting, and deliver full visibility across your data operations.
Dry runs.
Simulate and validate transfer jobs before execution to confirm outcomes, verify policies, and costs—ensuring every transfer is verifiable, efficient, and compliant.
CloudSoda dry-run simulation showing transfer analytics, cost forecasting, and detailed file movement breakdown before deployment. Helps users validate transfer policies, estimate costs, and ensure data mobility accuracy across cloud and on-prem storage.
Dry run report.

Real-world data mobility impact.

These are the everyday moments where metadata-driven movement pays off—moving the right data to the right place at the right time, automatically or on demand, with full cost and compliance awareness.

Move less. Deliver more.

Teams waste time (and budget) moving entire datasets when only a small slice is actually needed—creating duplicates, egress fees, and storage sprawl.

Diskover uses metadata, tags, and policy rules to move only what’s relevant, route it to the right destination, and keep a traceable record—so projects move faster with lower cost and less chaos.

The right media on the right tier.

Studios often keep “yesterday’s hot” media on expensive storage because it’s hard to prove what’s still active, what’s duplicated, and what can safely move.

Diskover tags content by project, age, usage, and business context—then triggers policy-based moves to archive, object, or nearline tiers (and back when needed), reducing spend while keeping teams productive.

Deliver analysis-ready datasets.

Bioinformatics teams lose days tracking down the correct inputs, reference files, and outputs across shared storage—then re-copy data “just to be safe.”

Diskover links files by metadata (sample ID, pipeline step, owner, timestamps) and tags datasets for promotion to compute, retention, or archive—so the right data lands where it’s needed, with fewer reruns.

Fewer reruns. Faster time-to-market.

EDA teams lose time when the right run inputs, checkpoints, logs, and outputs aren’t where they’re needed—so debugging becomes a hunt across scattered storage and stale copies.

Diskover connects run artifacts with rich metadata and tags, then triggers policy-based movement to the right tier or workspace—so teams can pull the exact datasets they need faster, reproduce results with confidence, and reduce costly rework.

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