Ask On Data

Ask On Data is an open source data engineering tool that lets you build data pipelines by chatting in plain English. Instead of writing complex SQL or Python scripts, you describe what you want — like "join the sales table with the customer table and filter for last month" — and the tool generates the pipeline for you. It's built on top of Apache Spark and uses fine-tuned LLMs to interpret your commands. You can also write SQL, Python, or edit YAML if you need more control.

The tool works as a managed cloud service, so you don't have to worry about infrastructure. It supports a wide range of data sources including flat files, databases, data lakes, APIs, and log files. Key features include real-time data preview as you build your pipeline, an action history with undo functionality, job scheduling for recurring runs, and the ability to validate and edit the generated YAML before execution. The platform claims up to 80% cost savings compared to traditional data engineering tools.

Ask On Data is ideal for data engineers who want to speed up pipeline creation, business analysts who need to work with data without deep technical skills, and data scientists who need preprocessed data quickly. The self-hosted version is completely free, while the enterprise version is priced based on data volume. It's a practical tool for teams that want to democratize data engineering without sacrificing control.