Ask On Data
Overview
Chat-assisted ETL and Spark pipelines with previews, undo and optional code editing.
Best For Professions:
Ask On Data helps data teams build ETL transformations and Spark pipelines through chat. It provides previews, undo, action history and optional SQL, YAML or Python editing, so users can inspect and refine the generated transformation.
The managed Free plan supports Excel and CSV files up to 5 MB without scheduling. Enterprise adds database sources and destinations, scheduling and custom volume-based pricing.
A managed cloud service is available. The vendor also advertises self-hosting, but the linked public repository is empty; a downloadable source release is not currently available there.
Product overview
Capabilities, pricing and fit
Ask On Data helps data teams build ETL transformations and Spark pipelines through chat. It provides previews, undo, action history and optional SQL, YAML or Python editing, so users can inspect and refine the generated transformation.
Information as of October 7, 2026
What it can do
- Core workflow
Chat-assisted ETL creates transformations and Spark pipelines with previews, undo, action history and optional SQL/YAML/Python edits. This is data preparation, rather than a general warehouse-question or collaboration agent.[1], [2], [3]
- Availability
Managed cloud access and configuration docs are available. Although the vendor advertises free open-source self-hosting, its own homepage says the linked public repository is empty; GitHub confirms no source contents or licence.[1], [2], [3]
- Connections
CSV/Excel imports and configurable database/job workflows are documented. Confirm required connections and plan access with the provider. Spark, LangChain, Ollama and Airbyte are implementation components, not native Slack/Teams/GitHub integrations.[1], [2], [3]
Pricing and availability
The managed Free plan accepts Excel/CSV files up to 5 MB without scheduling. Enterprise adds database sources/destinations and scheduling with volume-based custom pricing. Self-host licence and deliverable availability are unresolved, so useful ETL scope has only moderate cost clarity.[1], [2], [3]
Platforms: Managed cloud access and configuration docs are available. Although the vendor a[1], [2], [3]
Access: Managed cloud service; self-hosted source release unavailable in the linked repository[1], [2], [3]
Sources (3)
- Product evidence: askondata.comOfficial site · checked 2026-10-07
- Product evidence: askondata.comOfficial site · checked 2026-10-07
- Product evidence: github.comOfficial site · checked 2026-10-07
Autonomy level
68/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of Ask On Data:
- Data teams preparing and scheduling transformation pipelines.
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Popularity level: 61%
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AI Agent Store · Specialist AI agentsFor data engineering consultancies
Follow the pipeline change through to client acceptance.
For data-engineering consultants, reconcile sources and transformations, work through exceptions and maintain the checks behind each client delivery.
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Tailored starting setup. Chat on our site. See the workflow and monthly plan.