Ask On Data is the world's first NLP-based, GenAI-powered data engineering tool. It enables users, irrespective of technical skills, to create and manage data pipelines using plain English commands, making data engineering accessible and efficient.
Ask On Data is the world's first NLP-based, GenAI-powered data engineering tool. It enables users, irrespective of technical skills, to create and manage data pipelines using plain English commands, making data engineering accessible and efficient.
Ask On Data transforms data engineering by eliminating the need for intricate coding, offering an intuitive and efficient solution to creating data pipelines using plain English commands. This innovative platform is powered by advanced natural language processing and AI capabilities, allowing non-technical users and data professionals alike to harness the power of their data effortlessly. With features like chat-based interface, managed cloud service, job scheduling, and actionable functionalities, Ask On Data stands out as a user-friendly tool to streamline and accelerate data engineering tasks.
Who will use Ask On Data?
Data scientists
ML/AI engineers
BI users
Data analysts
Business analysts
Non-technical users
How to use the Ask On Data?
Step1: Register for an account on Ask On Data.
Step2: Log in and access the chat-based interface.
Step3: Connect your data sources (e.g., databases, flat files).
Step4: Provide plain English commands to create data pipelines.
Step5: Preview and validate data transformations.
Step6: Schedule or manually run data pipelines.
Step7: Access action history and make edits as needed.
Step8: Monitor and manage data workflows using the managed cloud service.
Platform
web
Ask On Data's Core Features & Benefits
The Core Features of Ask On Data
AI-powered chat interface
Zero learning curve
Data pipeline mastery
Managed service on cloud
Action history and undo functionality
Real-time data preview
Job scheduling
Cost-effective
Code control for customization
Support for varied data sources
The Benefits of Ask On Data
Simplified data engineering
No coding required
Efficiency and speed
Reduced costs
Accessibility for non-experts
Real-time validation and preview
Customizable and flexible
Ask On Data's Main Use Cases & Applications
Creating and managing data pipelines for ETL processes
Data integration and cleaning
Data transformation and wrangling
Job scheduling and automation
Custom data processing for ML/AI models
Business intelligence reporting
FAQs of Ask On Data
What is Ask On Data?
Ask On Data is an open-source, chat-based, GenAI-powered data engineering tool that allows users to create data pipelines using plain English commands.
Who can benefit from Ask On Data?
Data scientists, ML/AI engineers, BI users, data analysts, business analysts, and non-technical users can all benefit from Ask On Data.
How does the chat-based interface work?
The chat-based interface allows users to interact with the platform using plain English commands to create data pipelines and other data engineering tasks.
What kind of operations can be performed?
Operations such as data integration, cleaning, wrangling, custom calculations, and transformations can be performed.
Will the work happen on actual data in real-time?
A preview of the data is loaded for validation and the actual data processing occurs when the job is triggered.
How do I trust the AI operations?
You can preview, validate, and edit the YAML file generated by the platform before running the jobs.
How does the pricing work?
Self-hosting is free, while enterprise version pricing is based on data usage. Contact support for more details.
What is the technology stack used?
The platform is built on Python, React, Apache Spark, Langchain, Olama, and Airbyte.
What sets Ask On Data apart from other tools?
Its chat-based interface, NLP capabilities, speed, and zero learning curve differentiates it from other data engineering tools.
Is there an undo functionality for data actions?
Yes, there is an undo functionality available for data actions.