/ production-data
| Name | Size | Modified |
|---|---|---|
| datasets | 1.2 TB | 2024. 10. 15. |
| models | 450 GB | 2024. 10. 14. |
| logs | 320 GB | 2024. 10. 14. |
| metadata.json | 12 MB | 2024. 10. 13. |
OBJECT STORAGE TRANSFER
From Amazon S3, Azure Blob and Google Cloud Storage to private and On-premises object storage.
Choose a Bucket and a storage path and transfer your files. Data movement between different Accounts, Regions and cloud environments runs on one platform.
/ production-data
| Name | Size | Modified |
|---|---|---|
| datasets | 1.2 TB | 2024. 10. 15. |
| models | 450 GB | 2024. 10. 14. |
| logs | 320 GB | 2024. 10. 14. |
| metadata.json | 12 MB | 2024. 10. 13. |
/ ai-training-data
| Name | Size | Modified |
|---|---|---|
| datasets | 1.2 TB | 2024. 10. 15. |
| training | 680 GB | 2024. 10. 14. |
| archive | 210 GB | 2024. 10. 13. |
| README.md | 6 KB | 2024. 10. 12. |
STORAGE CONNECTIVITY
Transfer between different Buckets, Accounts and Regions inside the same Amazon S3, and connect object storage across different clouds such as AWS, Azure and Google Cloud. Private storage inside your company and S3-compatible storage can be set as Source and Target too.
Choose the pair of storages to transfer between and the data path is composed to suit each environment. Data can be migrated or replicated without being tied to one cloud or one region, which leaves you free to handle cloud migration, data consolidation and cross-region movement as they come.
TRANSFER PREVIEW
Select a different object storage environment to see how the transfer is configured.Object storage across different public clouds can be connected and transferred.Object storage in a private cloud and in internal enterprise environments can be connected and transferred.A range of S3 API-based compatible storage can be connected and transferred.
DIRECT DATA PATH
There is no need to download a cloud file to a local server and upload it again to another storage the way the old approach did: it transfers straight from Source to Target. Removing staging space and needless data copies keeps the transfer structure simple.
The file data itself travels the configured path, while the INNORIX Platform manages the run, the progress and the result centrally. Moving large data between different clouds or regions no longer means operating an intermediate storage server of your own.
INNORIX PlatformHandles transfer control and monitoring; it is not a waypoint where files are held.
SELECTIVE OBJECT TRANSFER
Migrate a whole Bucket, or pick only the files under a particular Prefix. Narrow the targets by conditions such as file name pattern and modified date, and select the files you want directly from the actual object list.
Rather than copying all the data again, only the objects you need are delivered to the other storage, which suits dataset moves and pulling out the data for a given period. Check the selected file count and the total volume before you run the transfer, so even a large body of objects is managed to purpose.
| Name | Size | Modified | |
|---|---|---|---|
| training-001.parquet | 24 GB | 2024. 10. 15. 14:21 | |
| training-002.parquet | 18 GB | 2024. 10. 14. 09:12 | |
| training-003.parquet | 12 GB | 2024. 10. 13. 18:45 | |
| metadata.json | 8 MB | 2024. 10. 12. 11:30 | |
| config.yaml | 4 KB | 2024. 10. 12. 11:20 | |
| access-2024-10.log | 2 GB | 2024. 10. 15. 03:00 | |
| resnet-50.ckpt | 6 GB | 2024. 10. 09. 17:40 | |
| vit-base.ckpt | 9 GB | 2024. 09. 28. 10:05 |
CONTINUOUS DATA MOVEMENT
Move the data in your existing object storage to a new environment in one pass, or deliver the files you need over and over on a schedule or by event. After the first migration, newly created and changed files can be set to keep moving to other clouds and storages.
When a transfer completes it can connect to the next job, Processing or Archive among them, and be automated as a single Flow. It does not end at a storage migration: the whole cycle of data moving and being used across environments is operated on one platform.
Files in existing storage are migrated to the new environment.
The files you need are transferred repeatedly on a schedule or by event.
When a transfer completes, it connects to follow-up work such as Processing and Archive.
Connect the devices and build the distribution flow.
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TECHNICAL FAQ
You can connect Amazon S3, Azure Blob Storage, Google Cloud Storage, Alibaba OSS, Cloudflare R2 and supported S3-compatible storage. The features available in detail can differ by storage type and connection method.
Yes. Object storage in different buckets, accounts and regions can be set as source and target. The access rights and the network connection needed have to be configured.
Supported cloud object storage services can be connected to each other and transferred between. The authentication and API connection conditions for each have to be confirmed.
Supported S3 API-compatible storage can be connected. Actual compatibility has to be verified against that storage's API implementation, authentication method and network environment.
INNORIX supports a direct transfer setup that removes the separate steps of storing files locally and uploading them again. The actual data path has to be confirmed against the storage type and the network configuration.
Yes. Use the supported bucket, prefix, file pattern and file selection conditions to transfer only the objects you need.
INNORIX supports both very large and very numerous file transfers. The scale and performance you actually get depend on the storage API, the network, the object characteristics and the transfer settings.
The capability on this page is one of the many file transfer features INNORIX Platform provides. From file transfer to automation and unified operations, try every feature free.
Start FreeWe'll help you review a transfer setup that fits your Object Storage and Data Path in use.