Skip to main content

Data Upload

Quick CSV Upload

Drag and drop a CSV file directly onto a Canvas, or click "Create new dataset" and select a file with Quick CSV Upload to bring in a CSV file with no fuss.


SQL Connections

Einblick supports native pushdown to a large number of data sources including:

  • Snowflake
  • MySQL
  • Postgres
  • Redshift
  • Oracle
  • Databricks
  • Dremio
  • Vertica

You can provide your credentials securely in the form of a data connector, and then reuse that data connector on any number of SQL Cells or datasets created on the home page.

Advanced CSV (or any flat file like TSV) Upload

Commonly, your delimited files might have other options. Using advanced CSV upload, you can:

  • Change the delimiter from , to some other field
  • Disable UTF-8 checking
  • Set an escape character
  • Set a null character
  • Skip rows

S3 Buckets

If you create an IAM account with access to the AWS S3 bucket and provide a secret and a key to Einblick, you can connect directly to your files in S3. This includes CSVs, parquet files, and partitioned parquet files.