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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.

DataUpload

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.