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Ask On Data

Ask On Data

An open-source, AI-driven chat-based ETL tool designed for efficient data engineering and transformation tasks.

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About Ask On Data

Ask On Data is an AI-powered, open-source chat-based ETL platform that simplifies data engineering. Using natural language commands, it enables users to perform data migration, cleaning, and analysis effortlessly. Its agentic capabilities allow data professionals and data scientists to build and manage data pipelines without extensive coding knowledge, boosting productivity and efficiency.

How to Use

Simply communicate with the platform using plain English through the chat interface. The AI interprets your commands, creates data pipelines, and allows you to schedule or orchestrate data workflows with ease.

Features

  • Supports multiple data sources
  • Managed cloud hosting for ease of use
  • Real-time data preview
  • Comprehensive data pipeline management
  • History tracking and undo options
  • Rapid development process
  • Code control via SQL, Python, and YAML
  • Intuitive chat-based interface
  • Cost-effective solution
  • Flexible job scheduling

Use Cases

  • Custom data calculations
  • Data transformation workflows
  • Data integration with unions and joins
  • Data cleaning and validation
  • Data wrangling and preprocessing

Best For

Business Intelligence UsersMachine Learning EngineersData AnalystsData ScientistsData ProfessionalsData Engineers

Pros

  • Accelerates data pipeline development
  • Reduces costs associated with data workflows
  • No coding required for setup
  • Supports diverse data sources
  • Managed cloud hosting simplifies deployment
  • User-friendly chat interface
  • Allows code control via SQL, Python, and YAML

Cons

  • Limited CSV and Excel support in the free managed cloud plan
  • AI accuracy depends on user validation
  • Manual management required for updates in self-hosted open-source version

Pricing Plans

Choose the perfect plan. All plans include 24/7 support.

Open Source

Free

Self-hosted solution supporting all database types as sources and destinations. Includes scheduling features. Community support. Manual deployment of updates and patches.

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Most Popular

FREE

Free

Managed cloud hosting by Ask On Data with support for Excel and CSV files (up to 5MB). No job scheduling included. Automatic updates, backups, and monitoring. Community support.

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ENTERPRISE

Contact support@askondata.com

Managed cloud hosting with full database support, scheduling, enterprise support, and automated maintenance. Custom solutions tailored to organizational needs.

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FAQs

What is Ask On Data?
Ask On Data is an open-source, AI-powered chat-based data engineering platform. It enables users to create data pipelines using plain English, eliminating complex coding requirements and streamlining data tasks.
Who benefits from using Ask On Data?
It is ideal for data scientists, machine learning engineers, BI professionals, data analysts, and anyone with limited coding skills needing efficient data pipeline management.
How does the chat interface function?
Powered by advanced language models, the chat interface allows you to interact with the platform using simple English commands to build and manage data workflows.
What types of operations can I perform?
You can perform data integration, cleaning, wrangling, custom calculations, and transformations, all through natural language commands.
Does the platform process data in real-time?
Yes. It provides a data preview when connecting to databases, allowing you to verify instructions before executing jobs on actual data. You can trigger jobs manually or schedule them for automation.
How do I ensure AI-driven operations are accurate?
You can review, validate, and edit generated YAML or SQL code before execution. Additional plugins enable writing full SQL or Spark code, ensuring precise control over data processes.
What is the pricing structure?
Self-hosted version is free. For enterprise solutions, pricing depends on data volume. Contact us at support@askondata.com for detailed quotes.
What technology stack powers Ask On Data?
It is built using Python for backend processing, React for the frontend, and incorporates Apache Spark, Langchain, Olama, and Airbyte for data orchestration and integrations.
How does Ask On Data differ from other tools?
Its innovative chat-based user interface and NLP capabilities allow users to manage data workflows through plain language, simplifying traditional coding-intensive processes.
Is Ask On Data suitable for all business sizes?
Yes. Its scalable design makes it suitable for startups, mid-sized companies, and large enterprises alike.