Your storage, our processing
For teams whose answer to “where does the data live” has to be “in our own account”, DataLens reads from and writes back to object storage you control.
How it works
Bring your own lake
Point the platform at storage you own. Processed output is routed back there rather than accumulating in ours.
Read and write
A lake is both a source and a destination — land from it, publish back to it.
Common formats
The columnar and delimited formats a lake actually holds, read directly rather than through an export step.
Same catalogue
A lake-backed dataset is profiled, transformed, governed and published exactly like any other.
What happens after it lands
Once rows are in the catalogue, the connector that produced them stops mattering. The dataset is profiled, can be cleaned, modelled, put in a flow, governed and published exactly like every other dataset — which means switching how data arrives never means rebuilding what happens to it afterwards.
Questions about this connector
Does my data have to leave my account?
With bring-your-own-lake configured, processed data is written back to your storage. The platform reads what it needs to do the work you asked for.
Is bring-your-own-lake included in the free tier?
No — routing storage to a lake you own is a Pro capability.
Can I publish a data product back to the lake?
Yes. Publishing to your own storage is a supported delivery target alongside links and the API.
Other ways in
CSV & Excel upload
Drag a file in and start working. Profiled on arrival, no schema declared up front.
Database
Read from your existing relational database and pull tables in as datasets.
REST API
Point at an endpoint, map the response shape, and land it as rows.
FTP & SFTP
Collect the drops that still arrive as files on a server.
CDC sync
Change data capture, so the dataset follows the source instead of ageing.
CRM
Bring customer records across without exporting them to a spreadsheet first.
Documents
PDFs and documents stored whole, for retrieval and generation rather than rows.
AI model providers
Your own model credentials, held as a connection like any other source.
See it on your own data
DataLens is in private beta. Bring a file, a database or an API and work through the whole lifecycle in one sitting.
Request beta access