Ask On Data
Simplify data pipeline creation through AI-powered chat interface
Target Audience
- Data Engineers
- Business Analysts
- Data Scientists
- BI Teams
Hashtags
Social Media
Overview
Ask On Data lets anyone build data pipelines using plain English instead of code. It uses generative AI to turn chat commands into automated data workflows, with real-time previews and undo functionality. The open-source platform helps teams save time and reduce costs while maintaining control through code options.
Key Features
Chat Pipelines
Create data workflows through natural language conversations
Data Previews
See transformation impacts instantly before committing changes
Undo History
Roll back any step in pipeline creation process
Multi-Cloud
Deploy on your cloud or use managed service
Code Control
Edit underlying SQL/Python/YAML for advanced users
Use Cases
Build ETL pipelines via chat
Clean and transform datasets
Schedule automated data jobs
Validate data transformations
Migrate databases without coding
Pros & Cons
Pros
- Eliminates coding requirements for data engineering
- 80% cost savings claimed vs traditional tools
- Real-time data validation during pipeline creation
- Open-source self-hosted option available
Cons
- Free cloud version limited to Excel/CSV (5MB)
- Open-source version not yet available (planned Nov 2024)
- Enterprise pricing requires direct consultation
Pricing Plans
Open Source
one-timeFeatures
- Self-hosted deployment
- Full database support
- Job scheduling
- Community support
FREE
monthlyFeatures
- Managed cloud hosting
- Excel/CSV only (5MB limit)
- No job scheduling
- Community support
ENTERPRISE
monthlyFeatures
- Full database support
- Priority enterprise support
- Automatic cloud maintenance
- Custom SLA agreements
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
How does the AI ensure accurate data operations?
Users can review and edit generated YAML/SQL code, with options to write custom Apache Spark code during scheduling
Can I undo mistakes in pipeline creation?
Yes, full action history and undo functionality are available in the interface
Is this suitable for large enterprises?
Yes, scales from startups to corporations with managed cloud and self-hosted options
Reviews for Ask On Data
Alternatives of Ask On Data
Chat with your data to generate BI insights instantly
Streamline data management through conversational AI insights
Deliver instant trustworthy answers to data questions through conversational AI
Build custom data apps and workflows using natural language commands