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Unstructured data — images, video, logs, documents, and media files — is growing fast, pushing enterprise data volumes from terabytes into petabytes. Storage architectures are evolving alongside it, shifting from traditional file storage to object storage and, increasingly, to multi-cloud and multi-data-center setups.
Object storage has become the default choice for this growth, thanks to its scalability, cost efficiency, and fit for large file volumes. But storing data is only part of the challenge. Enterprises also need to migrate, synchronize, and manage that data over time — moving historical files from NAS to object storage, migrating between object storage platforms, or continuously syncing production data for protection and archiving.
At petabyte scale, with file counts reaching into the tens or hundreds of millions, traditional replication methods struggle to keep up. Info2soft’s i2DTO was built to solve this: a control node plus sync host architecture designed for fast, secure data movement between local storage, NAS, and object storage.
i2DTO separates task management from data transfer, splitting the system into two roles:
This design scales from single-storage migrations to complex, multi-node data flows. i2DTO also supports both shared storage and direct-attached storage deployment models, so enterprises can choose the option that fits their existing infrastructure.
The hardest part of object storage sync isn’t moving data — it’s accurately identifying what needs to move in the first place. Re-scanning and re-transferring an entire dataset on every sync cycle is both wasteful and puts heavy strain on the network, especially at petabyte scale with tens of millions of files.
i2DTO addresses this by scanning and comparing source and target data to identify new or changed files, then syncing only the differences. To ensure consistency, it supports several comparison methods:
Once an initial migration is complete, i2DTO’s incremental sync mechanism continuously captures new and changed data, transferring only what’s changed. Combined with second-level scheduled sync and near-real-time sync options, enterprises can move from a one-time migration to continuous data protection based on their specific needs.
Single-channel transfer struggles with large migrations — long transfer windows and limited maintenance windows are common pain points, and the overhead of handling massive numbers of small files in object storage only adds to the problem.
i2DTO addresses this with a combination of capabilities:
Enterprises can split migration jobs by data volume, bucket, or path structure, then run multiple sync tasks in parallel to boost overall throughput. For long-running, large-scale transfers, i2DTO also supports file-level retry: if a network interruption or task failure occurs, only the affected files are retransferred — not the entire job.
As cloud adoption matures, most enterprises now run multiple object storage platforms side by side — public cloud, private cloud, and S3-compatible storage. Migrating data between these platforms is critical during cloud migrations, storage replacements, or data consolidation projects.
i2DTO supports major object storage environments, including:
This cross-platform compatibility allows i2DTO to support a range of use cases — migrating local storage to object storage, syncing data between object storage platforms, and archiving historical data — helping enterprises connect data across different storage environments.
Beyond raw transfer performance, enterprises need stronger management tools as their sync operations scale. i2DTO’s latest updates include:
i2DTO is already deployed across multiple industries to support data protection, cross-region replication, and large-scale migration.
| Industry | Use Case | Outcome |
|---|---|---|
| Telecommunications | A large enterprise uses i2DTO for scheduled object storage backups, applying tiered policies based on data importance | Improved data protection efficiency through incremental sync and multi-channel transfer |
| Banking | A major state-owned bank syncs object storage data automatically from Tencent Cloud COS in Beijing to COS in Shanghai | Cross-region data protection with minimal manual intervention |
| Financial Services | Another financial institution migrated near-petabyte-scale data — spanning billions of file objects — from COS to a private object storage cluster during an infrastructure upgrade | Smooth, large-scale migration achieved through multiple sync hosts and task splitting |
As enterprise data volumes continue to grow, object storage is taking on a bigger role in data infrastructure. But storage capacity alone isn’t enough — what matters is the ability to move and manage that data efficiently across environments.
i2DTO combines a control node and sync host architecture with data comparison, incremental sync, multi-channel transfer, and consistency verification to help enterprises keep unstructured data moving, managed, and usable at scale.