Datapot Query Language (DQL)
Advanced Data Querying
Datapot Query Language (DQL) enables users to easily retrieve specific file subsets from large repositories using complex criteria.
Navigate large repositories with DQL
Zero in
on your files.
What is Datapot Query Language?
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Why use Datapot Query Language?
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Repositories often contain millions of files dispersed across multiple directories. Finding specific files that meet multiple criteria can be challenging—DQL simplifies this process.
How does it work?
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DQL allows users to create precise queries to filter files based on defined parameters. It is supported accross all our client applications and our REST API.
Unlock the power of DQL
Versioned datasets
Save query results as versioned datasets to create fixed references, ensuring consistency across projects.
Track and replicate data versions used for each iteration of model training, enabling traceability.
Powerful metadata queries
Query repositories based on detailed metadata, such as image resolution, labels, or any custom metadata information, for more targeted results.
Retrieve files like daytime PNG images featuring a dog or nighttime drone footage in MP4 format, making complex searches intuitive.
Seamless accessibility and sharing
Once a query is saved as a dataset, browse the dataset directly without downloading the entire repository, saving time and storage.
Share datasets across teams or clusters using the BitTorrent protocol, ensuring fast data transfer.
Because guessing your way through millions of files is not fun.
Product
Data Version Control
Data Pipelines
Data Transfer
Datapot Query Language (DQL)
Metadata Support
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©2025 AItive Data GmbH. All rights reserved.
©2025 AItive Data GmbH. All rights reserved.
