Ask On Data : An Open Source Chat based Data Engineering tool, Powered by GenAI

Unleash the Power of Data without Technical Hudles

Welcome to the future of Data Engineering – New Gen Data Stack. At Ask On Data, we’re proud to introduce the world’s first Natural Language Processing (NLP) based GenAI powered data engineering tool with agentic capabilities. Say goodbye to the complexities of traditional data processing- now , anyone , from non-technical users to seasoned data professionals, can effortlessly harness the power of data without the need for coding skills. For enhanced controls there are options of writing SQL, YAML and Python as well.

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Why Ask On Data?

Chat-Based Interface

Communicate with your data like never before. Our intuitive, chat-based interface makes interacting with data as easy as having a conversation.

Zero Learning Curve

With Ask On Data, you don’t need to be a tech expert. Our revolutionary tool empowers users of all backgrounds to seamlessly engage in data engineering tasks.

Super Fast Development

Experience unparalleled speed in data engineering. Ask On Data accelerates development, allowing you to achieve more in less time.

Discover How Ask On Data Transforms Data Engineering: Key Features Unveiled

Unlock a world of possibilities with Ask On Data. Our groundbreaking features redefine the landscape of data engineering, making it accessible, intuitive, and incredibly powerful.

Key Features

Data Pipeline Mastery

Seamlessly create, manage and optimize Data Pipelines with an AI powered chat interface without the need to write code. Data pipeline at the speed of thoughts, thus saving time and money.

Chat Interface

Simple AI powered chat interface allowing to create data pipeline without the need to learn coding. No learning curve, no technical knowledge required. Turbocharge your data engineering work.

Managed Service on Cloud

Ask On Data is provided as a managed service model, thus no need to worry about infrastructure or maintenance. There are also options of deployment on the choice of your cloud.

Action History and Undo Functionality

Access a comprehensive history of all actions performed on your data. Gain insights into the evolution of your data workflow. Undo options for making any changes.

Data Preview

Have real time preview of the data with every transformation instruction you provide via chat, thus cross validate before committing changes. Undo in case of mistakes.

Job Scheduling

Create end to end Data Piplelines and schedule them jobs to run at specified frequency. Specify whether to do full load, incremental load, truncate and load etc while scheduling.

Cost Effective

Data Pipelines don’t have to be costly. Have more than 80% cost saving as compared to other Data Engineering tools. Save time in creating data pipelines. Reach out to us now for a demo and discussion

Code Control

For more control and changes, there are options of writing SQL, Python as well as editing the YAML file. This is especially useful for handling edge cases also.

Data Sources

Use varied data sources including flat files, API, Database, Data Lake & Data Warehouse, log files etc. Request us for custom data source support at support@askondata.com

Welcome to Ask On Data: Revolutionizing Data Engineering with NLP

Ready to transform the way you work with data? Click the "Try Now" button below to register for a free trial. Join the data revolution with Ask On Data and unlock a new era of simplicity, efficiency, and innovation.

Frequently asked questions

Ask On Data is pioneering Next gen data stack. It 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. Whether you’re a seasoned data professional or a newcomer, Ask On Data opens the door to streamlined and accessible data pipeline creation, empowering users to harness the power of their data with unparalleled ease.

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. Data engineers and analysts can streamline their workflow by simplifying the creation of complex data pipelines using natural language commands. Business analysts and decision-makers gain a user-friendly interface to interact with data without delving into coding intricacies. Data scientists can get the required preprocesssed data by themselves to further run the ML AI algorthims. Even those new to data engineering can benefit, as Ask On Data’s intuitive design allows them to create end-to-end data pipelines effortlessly. In essence, Ask On Data is tailored to empower both technical and non-technical users, democratizing the data engineering process for greater accessibility and efficiency.

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. Users can communicate their data engineering requirements in a conversational manner. Ask On Data’s sophisticated algorithms understand and interpret these commands, converts them into actionable data pipelines and then these jobs can be orchestrated and scheduled.

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.

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 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.

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 support@askondata.com for more questions.

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

AskOnData 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. What sets AskOnData apart is not just its innovative interface but also the unparalleled speed it brings to pipeline development. With a simple chat-based interaction, users can create end-to-end data pipelines swiftly, reducing the time and effort traditionally associated with data engineering tasks. Aside, the chat interface ensures that there is zero learning curve, simply type and start using. This emphasis on efficiency, coupled with its intuitive design, positions AskOnData as a frontrunner in transforming how data pipelines are conceived and developed

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. Small businesses with limited technical resources can benefit from the platform’s accessibility, enabling them to harness the power of data without the need for extensive coding knowledge.
Mid-sized enterprises seeking streamlined data engineering processes will find Ask On Data to be a valuable asset in enhancing efficiency and productivity. Larger corporations, dealing with complex data scenarios, can leverage Ask On Data’s capabilities to simplify and accelerate their data pipeline development.
In essence, Ask On Data’s versatility and scalability make it a suitable solution for businesses of all sizes, democratizing data engineering and ensuring that organizations, regardless of their scale, can unlock the full potential of their data with ease.

Yes, there is undo functionality. Once you login, at the top right you can see that option.

If you have any other questions regarding the demo or features or pricing or custom implementation or partnership or anything else, you can reach out on Support@AskOnData.com

Choose an affordable plan that's packed with the best features for streamlining your ETL pipelines and empowering data engineers

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