Ask On Data
Last Updated on: Dec 5, 2025
Ask On Data
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AI Workflow Management
No-Code & Low-Code
AI Developer Tools
AI Code Generator
AI SQL Query Builder
What is Ask On Data?
Ask On Data is a GenAI-powered, open-source, chat-based data engineering tool that revolutionizes the creation of ETL (Extract, Transform, Load) pipelines. It allows users—from business analysts to data engineers—to instruct the system via natural language, bypassing the need for complex code. The platform supports data migration, cleaning, transformation, integration, and orchestration (SQL, Python, YAML), all within a conversational interface. Building pipelines becomes intuitive, rapid, and accessible to non‑technical users while delivering powerful functionality on par with engineers.
Who can use Ask On Data & how?
  • Data engineers & analysts: Build pipelines fast with chat-driven interface.
  • BI users & data scientists: Interact with datasets without coding by hand.
  • Business professionals: Query and prep data using conversational commands.
  • Startups & SMEs: Launch pipelines quickly without hiring expensive talent.
  • Enterprises: Benefit from cost-efficient deployments on-prem or in cloud.

How to Use It?
  • Register for free or self-host: Choose managed cloud or open‑source.
  • Connect your data source: Link databases, flat files, APIs, or lakes.
  • Ask in plain English: Command pipeline actions like “join tables,” “clean data.”
  • Review previewed results: Snapshots show ongoing transformation before execution.
  • Schedule & orchestration: Define triggers or incremental loads.
  • Inspect code: View/edit YAML, SQL, or Spark code behind the transformation.
What's so unique or special about Ask On Data?

  • Natural-language ETL: No coding—just conversational instructions.
  • Transparent pipeline building: Preview and edit generated pipelines before deployment.
  • Flexible deployment: Self-hosted or managed cloud with scheduling and orchestration.
  • Wide data sourcing: Works with diverse sources—databases, files, APIs.
  • High cost efficiency: Claims over 80% savings in development time and cost.
Things We Like
  • Dramatically simplifies ETL for non-technical staff.
  • Supports deployment flexibility and automation.
  • Transparent control via code inspection.
  • Schedule pipelines easily—ideal for production use.
  • Open‑source option gives full control and visibility.
Things We Don't Like
  • User experience and UI maturity may vary between versions.
  • Documentation or community size unclear.
  • Scheduling and integrations may need setup.
Photos & Videos
Screenshot 1
Screenshot 2
Pricing
Freemium

Free(OpenSource)

Free

  • Managed cloud hosting by Ask On Data
  • Excel & CSV support only (5MB limit)
  • No job scheduling
  • Community support
  • PRICE : Free
  • Automatic upgrades, patches, backups, and monitoring all done for you

Enterprise

Custom

  • Managed cloud hosting by Ask On Data
  • All databases support as source and destination
  • Scheduling feature available
  • Enterprise support
  • PRICE : Reach out on support@askondata.com
  • Automatic upgrades, patches, backups, and monitoring all done for you
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Popular Mention

FAQs

Yes—self-hosting version is completely free and open-source.
Data cleaning, joins, transformation, migration, incremental loads—via plain chat.
Yes—each instruction offers preview results and undo capability.
Absolutely—you can access and edit the YAML, SQL, or Spark code.
Yes—you can schedule jobs for full or incremental loads.

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