Ask On Data
AI-powered, open source chat-based ETL tool for data engineering.
Source rating 5.0
(91)
0 views
0 saves
Unknown
Verdict
A quick read before you dig into the full page.
- Best if
- AI-powered, open source chat-based ETL tool for data engineering
- Pick this when
- Unknown · Free
Overview
Ask On Data is an AI-powered, open source chat based ETL tool for data engineering. Via chat, it enables tasks like data migration, cleaning, and analysis, making it accessible for data scientists and engineers to enhance efficiency effortlessly. It is a Natural Language Processing (NLP) based GenAI powered data engineering tool with agentic capabilities, allowing users to harness the power of data without coding skills.
Access & connections
Where you can use Ask On Data.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- 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
Show 3 more
- Cost Effective
- Code Control
- Data Sources
FAQ 12
What is Ask On Data?
Ask On Data is an AI-powered, open source chat based ETL tool for data engineering. Via chat, it enables tasks like data migration, cleaning, and analysis, making it accessible for data scientists and engineers to enhance efficiency effortlessly. It is a Natural Language Processing (NLP) based GenAI powered data engineering tool with agentic capabilities, allowing users to harness the power of data without coding skills.
How to use Ask On Data?
Interact with the platform using plain English commands via the chat interface. The AI understands and interprets these commands, converts them into actionable data pipelines, and then these jobs can be orchestrated and scheduled.
What is Ask On Data?
Ask On Data is an Open Source chat based GenAI powered data engineering tool. With simple chat interface, it allows anyone to create data pipelines by using plain English language. This innovative platform eliminates the need for intricate coding, offering an intuitive and efficient solution to transform data engineering tasks.
Who can benefit from Ask On Data?
Ask On Data is designed to benefit a broad spectrum of users, ranging from Data Scientists & ML AI Enggs, BI users and data analyst, data professionals to individuals with limited technical expertise.
How does the chat-based interface work?
The chat-based interface of Ask On Data is powered by fine tuned LLM models. It allows users to interact with the platform using plain English commands.
What all kind of operations I can do?
You can do all kind of operations which includes data integration (like union, joins etc), data cleaning, data wrangling, custom calculations, data transformations operations etc.
Will this work happen on actual data on real time basis?
As soon as you connect to the database to create certain jobs, we load a preview of the data. This preview is helpful because it allows you to understand how your instructions are affecting the data as such. So you can type and create your entire pipeline. When done, then you can orchestrate/schedule it.When this job gets actually triggered, then it will work on the actual data. You even have options of triggering the job also manually as well.
As this is using AI, how do I trust if it doing correct operations?
As you keep on instructing the platform with your commands, it also keeps on creating end to end data pipeline. You also have an option of seeing the YAML file, that YAML file you can view, validate and even edit before orchestrating and running those jobs. Further, by going to settings, you can enable certain kind of plugins. One of the plugin is SQL plugin. When enabled, it can allow you to even write full SQL code also. Aside, while scheduling we also give you an option to write full fledged Apache Spark code also.
How does the pricing work?
If you are self hosting, then it is fully free. However if you would like to use our enterprise version, then our costing is based on the amount of data. You can reach out to us on [email protected] for more questions.
What is the technology stack on which Ask On Data is built on?
Ask On Data is built on top of Python and frontend is React. When you type and create data pipelines, we are creating Apache Spark jobs which then gets orchestrated. Other technologies used are Langchain, Olama, Airbyte
What sets Ask On Data apart from other data engineering tools?
Ask On Data stands out from other data engineering tools through its pioneering chat-based interface and robust natural language processing (NLP) capabilities. By allowing users to communicate their data engineering needs in plain English, the platform eliminates the complexities of coding, making it exceptionally user-friendly and accessible.
Is Ask On Data suitable for businesses of all sizes?
Absolutely, Ask On Data is tailored to cater to businesses of all sizes. Whether you’re a small startup, a mid-sized enterprise, or a large corporation, Ask On Data’s intuitive and user-friendly interface empowers users across various business scales.
Related tools
Recommended
Ask On Data
Free