ask-on-data
Ask On Data is an open-source, GenAI- and NLP-powered chat-based data engineering tool that enables technical and non-technical users to create, preview, schedule, and manage end-to-end data pipelines using natural language, with options to edit SQL, YAML, or Python for advanced control.
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Quick Overview
Best for: Business Intelligence
What it does
Business Intelligence software for decision-makers comparing workflow fit and alternatives.
Best fit
Business Intelligence
Pricing snapshot
Freemium from Free
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ask-on-data
Ask On Data is an open-source, chat-driven data engineering platform that uses NLP and fine-tuned LLMs to convert plain-English instructions into end-to-end data pipelines. Intended for both non-technical users and data professionals, the platform provides a conversational interface to create, preview, validate, edit and schedule data transformation jobs, while offering the option to inspect or modify generated YAML, SQL or Python/Spark code for edge cases and deeper control. It is offered as a self-hosted open-source product (free) and as a managed cloud service (paid enterprise tier), and it integrates with common data sources such as files, APIs, databases, data lakes/warehouses, and log files.
AI-powered, open source chat-based ETL tool for data engineering.
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Claim this listing for $29Key Features
Chat-Based Pipeline Creation
Create, manage and optimize data pipelines using a natural-language chat interface powered by fine-tuned LLM models—no coding required for most workflows.
Code Control (SQL / Python / YAML)
For advanced control or edge cases, view and edit the generated YAML, write full SQL via a SQL plugin, or author Apache Spark code before orchestration.
Data Preview and Action History
Real-time data preview for every transformation instruction and a comprehensive action history with undo functionality to validate and revert changes before committing.
Job Scheduling & Orchestration
Create end-to-end pipelines and schedule jobs with options such as full load, incremental load, truncate-and-load, and manual triggers.
Managed Service & Self-Host Options
Available as a managed cloud hosting service (automatic upgrades, backups, monitoring) or as open-source self-hosted software (manual patches/upgrades).
Wide Data Source Support
Supports flat files, APIs, databases, data lakes, data warehouses, and log files; custom data source support available on request.
Cost Efficiency
Claims up to 80%+ cost savings compared to other data engineering tools by accelerating pipeline development and reducing overhead.
Pricing
Self-hosted/open-source edition is fully free; managed free tier limited to Excel/CSV (5MB) with restricted features.
Open Source — Self hosted
Free- All databases supported as source and destination
- Scheduling feature available
- Community support
- Patches and upgrades to be deployed manually
Managed (Free tier / Cloud)
Free (limited)- Managed cloud hosting by Ask On Data
- Excel & CSV support only (5MB limit)
- No job scheduling
- Community support
Enterprise
Contact [email protected] (pricing based on data volume)- Managed cloud hosting by Ask On Data
- All databases supported as source and destination
- Scheduling feature available
- Enterprise support
Use Cases
Data Engineers
Rapidly build, inspect, and schedule production data pipelines with the option to edit generated YAML/SQL/Python and orchestrate Spark jobs.
Data Analysts & BI Users
Use plain-English commands to perform integration, cleaning, transformations and preview results without writing code.
Data Scientists
Self-prepare and preprocess data required for ML workflows by conversing with the tool to generate the required transformations and datasets.
Non-technical Users / Business Stakeholders
Democratize access to data engineering by enabling non-technical users to create pipelines, preview changes and schedule jobs using natural language.
Integrations
Apache Spark
Generated pipeline steps are converted into Apache Spark jobs which are then orchestrated.
LangChain
Used as part of the LLM/agentic capabilities within the platform (listed in technology stack).
Olama
Listed as a technology used in the platform's stack for model hosting or inference.
Airbyte
Included in the technology stack for data integration/connectors.
Data Sources (Files, APIs, Databases, Data Lakes/Warehouses)
Supports a variety of data sources and custom source requests via support.
Benefits
Limitations
Frequently Asked Questions
What is Ask On Data?
Who can benefit from Ask On Data?
How does the chat-based interface work?
Will this work happen on actual data in real time?
How can I trust AI-generated operations are correct?
How does pricing work?
What is the technology stack?
Is there an undo functionality?
Getting Started
- 1 Step 1: Click 'Try Now' or register on the Ask On Data website to start a free trial or obtain the self-hosted package.
- 2 Step 2: Connect a data source (flat files, API, database, data lake/warehouse, or logs).
- 3 Step 3: Use the chat interface to describe your pipeline in plain English, preview transformations, edit YAML/SQL/Python if needed, then orchestrate and schedule jobs.
Support
Primary contact for demos, pricing, custom implementation and partnerships: [email protected]
community
Open-source self-hosted edition: community support is listed for the self-hosted tier.
enterprise support
Enterprise customers receive enterprise support (contact via support email).
API
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