Ask On Data

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Introduction: Ask On Data is an open-source, AI-powered chat-based ETL tool designed for data engineering. It enables users to perform data migration, cleaning, and analysis through natural language commands, helping data scientists and engineers improve efficiency. As an NLP-driven, agentic GenAI tool, it allows users to manage data workflows without requiring manual coding.

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Ask On Data Product Information

What is Ask On Data?

Ask On Data is an AI-powered, open-source, chat-based ETL tool for data engineering. Through its chat interface, it facilitates tasks such as data migration, cleaning, and analysis, making these processes accessible for data scientists and engineers to enhance efficiency. It is an NLP-based, GenAI-powered data engineering tool with agentic capabilities, allowing users to leverage data without needing coding skills.

How to use Ask On Data?

Interact with the platform by entering plain English commands into the chat interface. The AI interprets these instructions, converts them into actionable data pipelines, and allows you to orchestrate and schedule the resulting jobs.

Ask On Data's Core Features

Chat-Based Interface
Zero Learning Curve
Super Fast Development
Data Pipeline Mastery
Managed Service on Cloud
Action History and Undo Functionality
Data Preview
Job Scheduling
Cost Effective
Code Control
Data Sources

Ask On Data Use Cases

#1 Data integration (unions, joins, etc.)

#2 Data cleaning

#3 Data wrangling

#4 Custom calculations

#5 Data transformation operations

FAQ from Ask On Data

What is Ask On Data? +

Ask On Data is an open-source, GenAI-powered data engineering tool. Its chat interface allows users to create data pipelines using plain English, eliminating the need for complex coding and providing an intuitive solution for data engineering tasks.

Who can benefit from Ask On Data? +

Ask On Data is designed for a wide range of users, including data scientists, machine learning engineers, BI professionals, data analysts, and individuals with limited technical expertise.

How does the chat-based interface work? +

The chat-based interface is powered by fine-tuned LLM models, allowing users to interact with the platform using plain English commands.

What kind of operations can I perform? +

You can perform various operations, including data integration (such as unions and joins), data cleaning, data wrangling, custom calculations, and data transformations.

Does this work on actual data in real time? +

When you connect to a database to create jobs, the system loads a data preview to help you understand how your instructions affect the data. You can build your entire pipeline using this preview, then orchestrate or schedule it. The job runs on the actual data when triggered, either automatically or manually.

Since it uses AI, how can I trust that it is performing the correct operations? +

As you provide commands, the platform builds an end-to-end data pipeline. You can view, validate, and edit the generated YAML file before running the jobs. Additionally, you can enable plugins in the settings, such as the SQL plugin for writing custom SQL, or use the option to write full Apache Spark code when scheduling.

How does the pricing work? +

The self-hosted version is free. For the enterprise version, pricing is based on data volume. Please contact support@askondata.com for further inquiries.

What is the technology stack behind Ask On Data? +

Ask On Data is built using Python and React. When you create data pipelines, the system generates Apache Spark jobs for orchestration. It also utilizes LangChain, Ollama, and Airbyte.

What sets Ask On Data apart from other data engineering tools? +

Ask On Data distinguishes itself through its chat-based interface and robust natural language processing capabilities. By allowing users to define data engineering needs in plain English, it removes coding barriers and improves accessibility.

Is Ask On Data suitable for businesses of all sizes? +

Yes, Ask On Data is designed to support businesses of all sizes, from small startups to large enterprises, by providing an intuitive interface for users across the organization.

Is there an undo functionality for data actions? +

Yes, undo functionality is available. You can access this option at the top right after logging in.

Ask On Data Pricing

Free

Free plan available.

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