Connect your cloud storage and data stack through dedicated integration system. Access any form of datasets and files through seamless APIs.
Datalier connects directly to your data stack. From where data can be ingested through buckets or databases, making every file validated, normalised, and versioned before getting exported AI-ready data to desired storage with ease.
Azure
AWS
Google Cloud
PostgreSQL
Any Open Source
Connect Amazon S3, Google Cloud Storage, Azure Blob Storage, PostgreSQL, or any open-source. Datalier will allow you to validate structure, normalises fields, and registers every dataset with schema metadata and source provenance.


Amazon S3, Google Cloud Storage, Azure Blob Storage, PostgreSQL, Snowflake and any open-source or self-hosted source can be connected directly, without a migration step.
No. Datalier connects to your storage in place, it reads, validates, and registers datasets without requiring you to move raw data into a separate system first.
Every file is validated, normalised, and registered with schema metadata and source provenance before it moves on to Transform, Label, or any other layer.
Structured formats like .jsonl and .parquet, media formats like .jpeg, .mp4, and .wav, and more — across image, video, audio, text, and document data.
Yes. Access rules, audit logging, and retention policy attach to a dataset the moment it's connected, inherited from the Govern layer but not configured separately per integration.