Data Transfer
Ultra-Fast Data Transfer for Any Scale
Datapot’s transfer system eliminates redundancy, optimizes bandwidth, and ensures fast data distribution across nodes.
Fast. Scalable. Reliable.
Whether uploading a single file or distributing massive datasets, Datapot’s system guarantees speed and reliability at any scale.
Upload
Before any file is uploaded, Datapot checks whether the file already exists in any of your repositories. If it does, the transfer is skipped, significantly reducing the time and bandwidth required for uploads.
Download
Distributing large datasets across multiple nodes, in an AI training cluster, can take days. Datapot reduces download tasks from days to hours by utilizing the integrated BitTorrent peer-to-peer (P2P) protocol.
Upload
Before any file is uploaded, Datapot checks whether the file already exists in any of your repositories. If it does, the transfer is skipped, significantly reducing the time and bandwidth required for uploads.
Download
Distributing large datasets across multiple nodes, in an AI training cluster, can take days. Datapot reduces download tasks from days to hours by utilizing the integrated BitTorrent peer-to-peer (P2P) protocol.
P2P vs Classical Distribution
Datapot reduces download tasks from weeks to hours by utilizing the integrated BitTorrent peer-to-peer (P2P) protocol.
By allowing nodes to exchange file segments, peer-to-peer (P2P) distribution dramatically accelerates delivery times and scales efficiently to large clusters, unlike traditional server-client downloads.
Cut egress cost
P2P downloads reduce expensive internet egress fees by efficiently reusing local data for repeated large repository transfers.
Block-level hashing
Before uploading, files are hashed locally, and only unique parts transferred, ensuring minimal duplication and significant time savings.
Leverage local networks
By redistributing data between nearby nodes, P2P significantly accelerates large file transfers compared to pulling data repeatedly from distant cloud storage.
Seamless upload resumes
Interrupted uploads restart from the last completed block, eliminating redundant transfers and guaranteeing efficient completion of even the largest files
Product
Data Version Control
Data Pipelines
Data Transfer
Datapot Query Language (DQL)
Metadata Support
Company
About Us
Contact
©2025 AItive Data GmbH. All rights reserved.
©2025 AItive Data GmbH. All rights reserved.
