File Transfer
Object Storage Transfer
Introducing INNORIX's solution that connects different Cloud and On-Prem Object Storage into a single Transfer Layer.
CROSS-STORAGE TRANSFER LAYER
Connect different Object Storage into a single Transfer Layer.
Object Storage is no longer just storage for Backup — it is now core Data Infrastructure where Data Lake, AI Dataset, Media Asset, Research Data, and Machine Data converge.
But as Storage expands across multiple Clouds, Regions, Accounts, Private Cloud, and On-Prem, the ways data moves also multiply. INNORIX transfer between object storage systems is not an internal copy function of a specific Storage product — it connects Data Movement between different Object Storage systems into a single Transfer Layer.
Multiple Storage → INNORIX
- Public Cloud Storage
- Private Object Storage
- On-Prem Storage
- S3-Compatible Storage
INNORIX → Delivery Target
- Object Storage
- AI / Compute
- Data Center
SOURCE & TARGET
Organized around the relationship between Source and Target, not the type of Storage.
Replicating Buckets within a single Cloud and connecting different Storage Infrastructures are different problems.
As Object Storage diversifies, more conditions must be verified for the actual Source and Target combination — including Endpoint, Authentication, Region, Namespace, and API Compatibility.
INNORIX uses not the owner of the Storage, but where the data currently is and where it needs to go, as the basis for Transfer.
S3 API & REAL COMBINATIONS
Connects everything from the S3 API to real Storage combinations.
The S3 API has become an important Interface in the Object Storage ecosystem, and various Storage systems provide an S3-Compatible Interface.
However, the single term 'S3-Compatible' does not mean every implementation and behavior is exactly the same. Several conditions work together in an actual connection.
So for object storage transfer, what matters isn't simply whether S3 API is supported, but the actual Source × Target combination and direction you plan to operate.
Actual connection conditions that need to be verified
- Endpoint Configuration
- Authentication
- Region Signing
- Path Style / Virtual-Hosted Style
- Listing Method
- Object Metadata
Supported scope is checked based on which Source can build actual Data Movement to which Target — not the number of Storage logos.
NATIVE VS. CROSS-STORAGE
Use Native Storage features and Cross-Storage Transfer together.
Replication and Migration features provided within a single Storage Ecosystem play an important role in operating that environment.
Rather than replacing these Native Storage features, INNORIX handles Data Movement that crosses the boundaries of Storage.
If Native features connect the inside of a Storage system, INNORIX connects the Transfer relationship between different Storage systems.
OBJECT-TO-OBJECT DATA PATH
Build a Data Path from Object to Object.
When moving data between different Object Storage systems, a Download and Re-upload approach using a Local System or Temporary Storage can be used.
Download / Re-upload
INNORIX Platform — Control Plane
INNORIX builds Data Movement between Source and Target over the most direct Transfer Path available.
Control and monitoring are managed on the platform, while data is configured to move directly between the source and target it needs.
Direct Data Movement, Transfer Recovery, and Result Management are operated within a single structure.
MULTI-CLOUD
Operate Multi-Cloud with a single Transfer Model.
When there is only one Cloud, that Cloud's Native Tool alone may be enough. As Infrastructure expands, the relationships you need change.
Cloud A →
- Cloud A
- Cloud B
- Private Storage
- On-Prem
The same expansion applies from Cloud B to Cloud A / Private / On-Prem. Instead of adding a separate Copy Tool and operating approach for every combination, you can build it with the same Model of Source, Target, Transfer, and Run.
When a new Cloud or Storage is added, rather than building a new Transfer System you extend by connecting a new Endpoint to the existing Data Movement.
TRANSFER DIRECTION
Clearly manage the directionality of Source and Target.
When checking whether an Object Storage product or Transfer Service is "supported," it's important to distinguish between Source and Target.
Being able to use an external S3-Compatible Storage as a Source does not necessarily mean the same Storage works the same way as a Target.
So at INNORIX, Storage support is treated as an actual Transfer Direction rather than a simple list of logos.
The actual product page shows only verified Storage and Direction combinations.
STORAGE RELATIONSHIPS
Build a range of Storage relationships beyond the Bucket.
Object Storage Transfer can start with copying from one Bucket to another, but real Enterprise environments require more diverse relationships.
You can use the same Transfer Model while configuring only the Source and Target to fit the task.
MIGRATION TO CONTINUOUS
Use the same Data Path from Migration to Continuous Transfer.
Movement between Object Storage systems can start as a one-time Migration or become an ongoing Data Pipeline.
For example, you might start by migrating a Dataset from On-Prem Object Storage to the Cloud, then later reuse that same relationship as the Delivery Path for data generated every day.
A Transfer built for Migration can be expanded into ongoing Data Movement.
LARGE OBJECTS
Reliably move large Objects.
Object Storage can hold Datasets, Media Files, Archives, and Model Artifacts ranging from a few GB up to TB in size.
The larger a file is, the higher the cost of reprocessing the entire Object after a Transfer is interrupted.
Source
Target
INNORIX applies its Large File Transfer capabilities to Data Movement between Object Storage systems, operating Parallel Transfer, Resume, Recovery, and Transfer Result together.
MANY OBJECTS, ONE TRANSFER
Manage vast numbers of Objects as a single Transfer.
AI Datasets, Image Archives, Research Data, and Machine Data are often made up of millions of small Objects rather than one large Object.
At that point the actual work is more than just Data Transfer.
As the Object count grows, Listing, Filtering, Queue, Concurrent Transfer, and File-Level Results all affect overall processing time and operational complexity.
INNORIX applies its High-Volume Transfer capabilities to manage everything from discovering large volumes of Objects to Transfer and results as a single execution unit.
TRANSFER CAPACITY
Operate Transfer Capacity to match the scale of the Data.
Simply running as many Transfers as possible at the same time to raise throughput does not always produce the best result.
Source Storage's API processing capacity, Target Storage, the network, and other workloads all need to be considered together.
Rather than continually expanding the Transfer Infrastructure itself, operations focus on efficiently using the Capacity already available on the Source and Target.
OBJECT INTEGRITY
Verify Object Integrity through the Transfer Result.
Using an S3-Compatible API and actually verifying data integrity are separate matters.
In particular, because of Multipart Upload and differences in implementation between Storage systems, an Object's ETag cannot simply be interpreted as a file's MD5 in every environment.
Operators can check not just whether the API Request succeeded, but which Objects were delivered and which Objects need additional processing.
RECOVERY BY SCOPE
Recover Transfers based on the scope of failure.
When a problem occurs in a subset of millions of Objects, identifying the actual scope of failure matters more than re-running the entire Transfer.
By keeping Transfer State and per-Object Result, and reprocessing only the necessary scope, INNORIX reduces the Recovery cost of large, high-volume Storage Transfer.
DATA PLANE / CONTROL PLANE
Operate the Data Plane and Control Plane according to their respective roles.
Even when Object Storage is distributed across multiple Clouds and Data Centers, Transfer Operations can be managed from a single Platform.
INNORIX Platform — Control / Flow / Monitoring
- Storage A
- Storage B
- Storage C
Data Movement
- A → B
- B → C
- C → A
The Data Plane moves between the necessary Storage systems, while the Control Plane manages Transfer Configuration, Automation, Run, and Result in an integrated way.
The same operating model can be applied even as more Storage is added.
STORAGE & FLOW
Separate Storage from Flow.
The purpose of a business task often outlasts the Storage product itself.
For example, when a task delivers a daily Dataset to a Processing Environment, the actual Storage behind it can change as Infrastructure evolves.
Business Flow
Infrastructure
Separating Flow from the actual Storage Endpoint reduces how much of the overall Transfer Logic has to be rebuilt when you change Storage or add a new Target.
EXPANDING SCALE
As Storage grows, a single Data Movement Layer expands with it.
An Object Storage environment can expand from a single Cloud to Multi-Cloud, Private Cloud, On-Prem, and Sovereign Environments.
Rather than operating new Storage as a separate Transfer System, INNORIX connects it to the existing Transfer Layer as a Source or Target Endpoint.
Transfer Configuration, monitoring, and results can be maintained the same way even as Infrastructure expands.
AFTER MIGRATION
Continues into Data Movement after Migration.
Object Storage Migration can end after moving data to new Storage once, but in real operations, Data Movement continues to occur even after Migration.
The Transfer Layer used for Migration can continue to be used for subsequent Distribution, Processing, Archive, and AI Data Delivery.
STORAGE TO COMPUTE
Extend the Data Path from Object Storage to Compute.
Data stored in Object Storage does not always have Storage as its final destination.
AI Datasets need to be delivered to GPU Compute, Media Assets to a Processing Server, and Machine Data to an Analytics Environment.
Object Storage
Object Storage Transfer expands from simple Storage-to-Storage Copy to Storage-to-Compute Data Delivery.
Data accumulating in Object Storage and the process of making it usable by actual Workloads are connected within the same Transfer Layer.
AI DATA DELIVERY
Connects naturally with AI Data Delivery.
Object Storage is one of the main Dataset Repositories in AI Infrastructure.
In AI Data Delivery, Datasets and Models in Object Storage are delivered to the AI Compute that needs them, and Checkpoints and Results generated by the Compute can be retrieved back to Storage.
If Object Storage Transfer handles Data Movement between Storage systems, AI Data Delivery extends the same Transfer Layer between Storage and Compute.
SCOPE
Use the same operating model even as Storage combinations grow.
The competitiveness of Object Storage Transfer is not determined simply by the number of supported Storage logos.
In real Enterprise environments, what matters is which Storage can be used as Source and Target, in which directions data can move, how large and high-volume Objects are handled, how you recover after failure, and whether the same operating approach still works as new Storage is added.
Starting from a single Bucket Copy, it expands into the same Data Movement Layer that spans Multi-Cloud and AI Infrastructure.
GET STARTED
Connect Data Movement between Storage systems into a single Transfer Layer.
Configure Transfer between Public Cloud, Private Cloud, On-Prem, and S3-Compatible Object Storage around Source and Target, and operate the movement of Large Objects and vast numbers of Objects, along with Recovery, Automation, and Result, in the same way.
When needed, the same Data Path can be extended to Storage-to-Compute and AI Data Delivery.
Considering transfer between object storage systems?
We'll help you review a transfer setup that fits your Object Storage and Data Path in use.
- Review of your Object Storage combination and environment
- Data Path setup across Cloud and Region
- Guidance on applying Migration and recurring transfer