Use case

Query CSV files with SQL locally.

Bendit lets you treat CSV files like queryable tables, so you can filter, group, aggregate and join them with DuckDB SQL without setting up a database server.

Typical cases

• Large CSV files that are slow in Excel
• Delimiter or type detection issues
• One-off analysis that still needs repeatability

Example SQL

select
  product_code,
  sum(quantity) as total_quantity,
  sum(amount) as total_amount
from imported_csv
where order_date >= date '2026-01-01'
group by product_code
order by total_amount desc;

How Bendit helps

1. Import the file directly into the local workbench.
2. Inspect columns, types and preview rows.
3. Transform with DuckDB SQL.
4. Export a clean CSV or Parquet result.