INNORIX

File Transfer

  • High-Speed File TransferTransfer files fast over long distances.
  • Large File TransferTransfer large files as they are.
  • High-Volume File TransferTransfer millions of files as one job.
  • Automated File TransferAutomate recurring file transfers.
  • Server-to-Server File TransferConnect servers and devices directly.
  • Object Storage TransferConnect different object storage systems.
  • Large File Upload & DownloadTransfer large files reliably over the web.
  • Embedded File TransferBuild file transfer into your applications.
  • File Distribution & CollectionDistribute files and collect results across endpoints.
  • AI Data DeliveryDeliver data where AI compute needs it.
  • Dynamic Endpoint TransferDeliver files to changing endpoints.
  • FTP & SFTP MigrationModernize existing transfers at your pace.

 

  • Transfer BuilderConfigure the transfer you want, step by step.
  • Transfer FinderFind the right transfer for your work.
  • HyperlaneFrom hundreds of TB to PB, move across a global transfer network.
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INNORIX provides enterprise file infrastructure for moving and automating files across every system and environment.
Trusted by more than 5,000 enterprise and government agencies.

File Transfer

  • High-Speed File Transfer
  • Large File Transfer
  • High-Volume File Transfer
  • Automated File Transfer
  • Server-to-Server File Transfer
  • Object Storage Transfer
  • Large File Upload & Download
  • Embedded File Transfer
  • File Distribution & Collection
  • AI Data Delivery
  • Dynamic Endpoint Transfer
  • FTP & SFTP Migration

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  • Transfer Finder
  • Hyperlane

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File Transfer

Server-to-Server File Transfer

Introducing INNORIX Server-to-Server File Transfer, which directly connects and operates Transfers between scattered servers on a single Platform.

DIRECT SERVER TRANSFER

Connect and operate with a single method, even as the number of servers grows.

Copying files between two servers isn't difficult. In many environments, familiar tools like scp, SFTP, and rsync are enough.

Complexity begins as servers and workloads increase. As transfers are added between Linux and Windows, Data Center and Cloud, and headquarters and branch offices, Account, Key, Path, Script, Schedule, Retry, and Log accumulate for each Transfer.

INNORIX Server-to-Server File Transfer organizes individual servers' Copy operations into a Transfer Relationship between Source and Target, and operates Direct Data Movement, Automation, Recovery, and Monitoring on a single Platform.

INNORIX Platform · Control / Flow / Monitoring

  • Server A → Server B
  • Server C → Server D
  • Server E → Server F

Data for each server pair moves directly, while operations are managed on the INNORIX Platform.

Configure This Transfer →Request a Consultation →

FROM COMMANDS TO PLATFORM

Scale from two servers to your entire Server Infrastructure.

scp, SFTP, and rsync are well suited to moving files between a clear Source and Target. As servers increase, what matters is not each individual command but how you configure and operate multiple Transfer Relationships.

Below is a comparison between individual command-based operation and INNORIX Platform operation.

Host / IPDevices
Source / TargetTransfer Relationship
Command OptionTransfer Configuration
cronSchedule
ScriptFlow
Command ResultRuns
Individual LogFile Status / Receipt

Even if you expand a Transfer that started as A → B into structures like A → B/C/D, A/B/C → D, or A → B → C, you can use the same operating model.

DIRECT DATA PATH

Connect servers with a Direct Data Path.

In structures that route server-to-server file movement through an Intermediate Server or Shared Storage, the same data ends up moving across multiple segments.

Intermediate Architecture

Source
Intermediate Server / Shared Storage
Target

Wherever the Transfer Path allows, INNORIX configures Direct Data Movement between Source and Target.

INNORIX Platform — Control Plane

Source
Target

Direct Server-to-Server · No Staging Copy · No Shared Storage Required · No Transfer Hub Required

CONTROL / DATA SEPARATION

Control moves centrally, Data moves between servers.

Direct Transfer doesn't mean distributing operations across each server as well. The actual Data Path is configured between Source and Target, while Transfer Configuration, Automation, Monitoring, and Result are unified on the INNORIX Platform.

INNORIX Platform — Control / Flow / Monitoring

  • Server A ↔ Server B
  • Server C ↔ Server D
  • Server E ↔ Server F

Even when multiple Transfers run at the same time, each Data Path can be kept separate from the central operating area.

Data Plane / Control Plane

Source → TargetDevices
File MovementFlows
Parallel TransferRuns
Resume / RecoveryMonitoring
Transfer ResultReceipt

CROSS-PLATFORM CONNECTIVITY

Connect Linux, Windows, and Cloud with the same Transfer Model.

Enterprise Server Infrastructure isn't made up of just one OS or Network Zone.

LinuxLinux
LinuxWindows
WindowsLinux
Data CenterCloud Server
Cloud ServerOn-Prem Server
HQ ServerBranch Server
Processing ServerStorage / Compute

Instead of creating a separate operating method for each combination, Source and Target are configured as Device and Transfer Relationship. Even when the Infrastructure differs, the basic operating method for transfers can stay the same.

LARGE FILE

Scale Server Transfer to match file size.

Files between servers range from small Configuration Files to Datasets, Media, and Archives spanning several GB or TB.

As files get larger, Transfer Time increases, and so does the cost of reprocessing when a mid-transfer failure occurs.

Source Server → Target Server

  • Parallel Transfer
  • Dynamic Concurrency
  • Long-Distance Transfer
  • Resume
  • Recovery

INNORIX's Large File Transfer feature is applied directly to Server-to-Server relationships, so even as file size grows, operations continue under the same Transfer Model.

HIGH-VOLUME FILES

Deliver large numbers of files while preserving their original structure.

In Server Transfer, a large number of small files can be a greater operational burden than a single large file.

Creating an Archive to transfer many files, sending it, and then Extracting it again at the Target can become a separate task in itself.

Archive Workflow

Scan
Archive
Transfer
Extract
Verify

INNORIX

Scan
Transfer
Result

INNORIX applies High-Volume Transfer to Server-to-Server, processing large numbers of files while preserving Directory Structure and individual files.

File DiscoveryDiscover target files
QueueManage transfer order
Parallel ProcessingProcess multiple files
DirectoryPreserve original structure
File ResultCheck results per file
RetryReprocess files as needed

RESUME & RETRY

Continue the same Transfer even after an interruption.

The longer a Server-to-Server Transfer runs, the more important Recovery after a failure becomes.

Re-running a command is a different matter from knowing exactly how much data was actually delivered and resuming from the point that's actually needed.

Completed
Completed
InterruptedResume
FailedRetry
Completed

INNORIX maintains Transfer State and File-Level Result, letting you Resume an interrupted Transfer and Selectively Retry the files that need it.

Data that has already completed is kept as-is in the results, while effort is focused on the scope that actually needs recovery.

AUTOMATION & FLOW

Operate recurring Server Transfers as a Flow.

Server-to-server transfer is often used as a recurring task rather than a one-time Copy.

In existing environments, this can be automated by combining cron with Shell Scripts and Batch Files. In INNORIX, the Transfer itself is configured as a Schedule and Flow.

cronSchedule
Shell / BatchFlow
Source / Target ScriptDevices
Condition StatementCondition
Check Command ResultRun
Re-run ScriptRetry / Recovery
Follow-up ScriptCallback / Next Flow

You can scale the same way, from a simple automatic A → B transfer to sequential and branching Flows connecting multiple Servers.

MULTI-STEP FLOW

Expand from a single Transfer into a multi-step Server Flow.

In real Server Workflows, the task may not end with delivering a file just once.

A → B → C

  • B → D
  • B → External Process → E
  • Connect to the next step after the External Process completes

INNORIX handles the file transfer, while the existing system continues to handle the actual Processing and Business Logic.

DEVICES & FLOWS

Manage Servers and Transfer Logic separately.

Servers get replaced and IP and Network environments can change, but the Transfer Relationship for a given task often stays in place much longer.

Business Flow

Source
Processing
Archive

Infrastructure

Server A
Server B
Server C
New Server D

Separating Devices from Flows reduces how much of the Transfer Logic for the whole task needs to be reconfigured when the actual Server changes. You can operate around "which Source, in what role, delivers what to which Target" rather than around the server itself.

DISTRIBUTION & COLLECTION

Configure Distribution and Collection with Server Groups.

Server-to-Server Transfer naturally expands from a 1:1 relationship into Distribution and Collection.

1 → 1Server A → Server B
1 → NCentral Server → Branch Servers
N → 1Multiple Servers → Central Server
1 → NSoftware → Processing Servers
N → 1Results → Data Center
A → B → CMulti-Step Processing

Rather than managing individual Transfers as separate Scripts, you can configure them on the same Platform using Source and Target Groups, Flows, and Runs.

NETWORK-AWARE PERFORMANCE

Operate Transfer Performance to match Network conditions.

Network conditions differ when Servers are on the same LAN versus across a long-distance WAN, Cloud, or Branch connection.

Beyond Bandwidth, Latency, Packet Loss, Storage I/O, and other Transfers running concurrently also affect actual throughput.

Parallel SessionsUse multiple Transfer Paths
Dynamic ConcurrencyAdjust concurrent processing
Long-Distance OptimizationHandle long-distance environments
Queue / CapacityOperate multiple Transfers
ResumeContinue after interruption
RecoveryRecover the failed scope

Rather than assuming one specific Network condition, operations use whatever Transfer Capacity is available in the current Source and Target environment.

SHARED NETWORK

Manage Transfer Capacity even on a Shared Network.

An Enterprise Network doesn't exist solely for file transfer.

Since business Traffic, Databases, Applications, and other Services can share the same Network, Server Transfer must also be operated alongside the overall environment.

Applications
Database
Services
INNORIX

Network

Queue / Concurrency / Capacity

INNORIX manages multiple Transfers through Parallel Transfer, Dynamic Concurrency, and Queue, operating Server-to-Server Data Movement within the overall Network environment.

SCALING DIRECT TRANSFER

As the number of servers grows, the Direct Transfer structure scales with it.

In a structure where all Data moves through a central Transfer Server, the central point takes on more Data Paths as Servers and Transfers increase. In INNORIX's Direct Transfer structure, the necessary Data Path is configured between each Source and Target, while the Platform manages the overall relationships.

INNORIX Platform

  • A → B
  • C → D
  • E → F
  • G → H
  • I → J
  • K → L

As the number of Servers increases, Data Movement is distributed while Transfer Operation stays centralized.

SECURITY & OPERATIONS

Connect existing Server Security Policy with Transfer Operation.

In Server-to-Server Transfer, it matters not only which files move but which Servers are connected, which Transfers are permitted, and who can view the results.

ServerDevice
Transfer RelationshipFlow
Execution ConditionSchedule / Policy
Execution ResultRun
File ResultFile Status
Final ResultReceipt
MonitoringTransfer Status

Transfer Relationships are configured based on the existing Infrastructure's Network and Security Policy, and execution results that were scattered across Servers can be checked centrally.

TRANSFER RESULT

Expand Transfer results from per-server Logs into business outcomes.

In server-to-server transfer, what operators want to know isn't simply that a Process ran.

What matters is which files were actually delivered, what failed, and whether everything completed after a Retry.

Run #1842

SourceServer-A
TargetServer-B
Files128,492
Completed128,489
Failed3
ActionRetry 3 Files

Check Transfer status in Runs and File Status, reprocess the files that need it, and then check the final result in Receipt. Rather than hunting down and comparing per-server Logs, each Transfer is operated as a single unit of result.

ADOPT AT YOUR PACE

Use existing tools alongside the new Transfer wherever you need to.

You don't need to change every scp, SFTP, or rsync Transfer at once.

Simple 1:1 CopyExisting Method or INNORIX
Recurring TransferAutomated Transfer
Large FileLarge File Transfer
Millions of FilesHigh-Volume Transfer
Multiple TargetsDistribution
Multiple SourcesCollection
Multi-StepFlow
Legacy FTP/SFTPMigration

You can use Server-to-Server Transfer as a starting point for modernizing the Transfers that need it, rather than replacing your entire Infrastructure.

BEYOND SERVERS

Expand from Server Transfer to comprehensive Data Movement.

A server is just one Endpoint in Enterprise Data Movement. The same Transfer Layer can connect Object Storage, Cloud, Application, and even AI Compute.

Server

INNORIX

Server
Cloud
Object Storage
Application
Branch
AI Compute

Even if a Transfer that started as Server A → Server B later expands into relationships like Server → Object Storage, Data Center → Cloud, or Server → AI Compute, you can still use the same Platform's Devices, Flows, Runs, and Receipt.

SCOPE

Server-to-Server Transfer Operating Scope

ConnectivityTransferOperation
Linux / WindowsLarge FileDevices
Data Center / CloudHigh-VolumeFlows
HQ / BranchParallel TransferRuns
1:1Resume / RecoveryFile Status
1:N / N:1AutomationMonitoring
Multi-StepDirect TransferReceipt

From simple Server Copy to large and high-volume files, recurring automation, and Distribution and Collection, all Data Movement between Servers is operated under a single Transfer Model.

GET STARTED

Start with two servers and scale to your entire Transfer Infrastructure.

Built on Direct Data Movement between Source and Target, apply Large File, High-Volume, Automation, and Recovery, and operate the Transfer Relationships and execution results of multiple Servers on a single Platform.

You can keep existing tools where they're needed while connecting, step by step, the Transfers whose operational complexity is growing.

Configure This Transfer →Request a Consultation →

Considering server-to-server file transfer?

We'll help you review a direct transfer setup that fits your current servers and network environment.

  • ✓Review of On-Prem, Cloud, and Hybrid environments
  • ✓Proposal for a server-to-server Transfer Path setup
  • ✓Guidance on recurring transfer and operational automation

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