AI Dispatch
agent · data analysis

Ask On Data vs Wren AI

55 fields both were evaluated on, 21 of them different — including where one discloses something the other does not. Every value links to the document it came from. 34 further fields are disclosed by neither and are listed at the end rather than tabled.

Assurance

FieldAsk On DataWren AI
Audit trail·
Action History and Undo Functionality Access a comprehensive history of all actions performed on your data.
askondata.com · checked Aug 2, 2026
Role-based access with full activity logs. Provable who saw what, which query produced which number.
www.getwren.ai · checked Aug 9, 2026
Explainability·
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.
askondata.com · checked Aug 2, 2026
Permission scopes·
Outcome-based pricing·
based on the amount of data
our costing is based on the amount of data
askondata.com · checked Aug 2, 2026

Agency

FieldAsk On DataWren AI
Goal complexity·
Multi-step reasoning in a sandbox, positioned against single-turn chat
Agentic Design 01 Not just chat. Sandboxed, multi-step reasoning.
www.getwren.ai · checked Aug 9, 2026
Action space·
Tools and scripts run inside an isolated environment. Agents query, chart, extract from PDFs, build dashboards, save skills.
www.getwren.ai · checked Aug 9, 2026
Operating environment·
20+ data sources: BigQuery, PostgreSQL, ClickHouse, Amazon Redshift, and dialect-agnostic.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Safety

FieldAsk On DataWren AI
Incident reporting·
Support@AskOnData.com
you can reach out on Support@AskOnData.com
askondata.com · checked Aug 2, 2026

Practicality

FieldAsk On DataWren AI
Pricing model·
based on the amount of data
our costing is based on the amount of data
askondata.com · checked Aug 2, 2026
Start free with open-source GenBI. Upgrade to full Agentic GenBI for governance, embedded API, and enterprise support.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Price point·
Deployment options·
self hosting, enterprise version
If you are self hosting, then it is fully free. However if you would like to use our enterprise version
askondata.com · checked Aug 2, 2026
Multi-tenant cloud, private cloud, and air-gapped on-prem.
www.getwren.ai · checked Aug 9, 2026
Integrations·
flat files, API, Database, Data Lake & Data Warehouse, log files
Data Sources Use varied data sources including flat files, API, Database, Data Lake & Data Warehouse, log files etc.
askondata.com · checked Aug 2, 2026
20+ data sources including BigQuery, PostgreSQL, ClickHouse and Amazon Redshift
20+ data sources: BigQuery, PostgreSQL, ClickHouse, Amazon Redshift, and dialect-agnostic.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Support model·
"Enterprise support" named as a paid-tier feature; no response times or remedies published
Upgrade to full Agentic GenBI for governance, embedded API, and enterprise support.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Foundation models

FieldAsk On DataWren AI
Base models·
fine tuned LLM models
The chat-based interface of Ask On Data is powered by fine tuned LLM models.
askondata.com · checked Aug 2, 2026
Fine-tuning·
fine tuned LLM models
The chat-based interface of Ask On Data is powered by fine tuned LLM models.
askondata.com · checked Aug 2, 2026

Ecosystem

FieldAsk On DataWren AI
Protocols supported·
MCP; MDL, text-to-SQL and a CLI listed in the same capability row
MDL · text-to-SQL · MCP · CLI · 20+ connectors
www.getwren.ai · checked Aug 9, 2026
API access·
Embedded AI API REST Build your own UX on the raw endpoints: natural language to governed SQL with execution, plus chart specs you render in your stack.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Open source·
Engine self-described as open source; no licence named on the page checked
The engine is open source. That's the difference.
www.getwren.ai · checked Aug 9, 2026

Impact

FieldAsk On DataWren AI
User base·
Self-reported 15,000+ data experts and analytics teams. The same page separately claims 50,000+ users (see deployment_scale); the two figures are not reconciled on the page
Trusted by 15,000+ data experts and analytics teams worldwide.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Deployment scale·
Trusted by 50,000+ users worldwide. Public companies across the US, EU, Middle East, and Asia.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Target sectors·
Manufacturing, healthcare, finance, retail and media
Use cases in production across industries How companies across manufacturing, healthcare, finance, retail and media ship governed answers to humans and agents.
www.getwren.ai · checked Aug 9, 2026

Not in our latest capture. We captured this page again on Sep 17, 2026 and this quote was not there. How we re-check citations

Disclosed by neither

Both Ask On Data and Wren AI publish nothing on these 34 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 34 identical table rows. Each is shown with its source check on the individual profiles.

  • Autonomy level
  • Human oversight
  • Initiative
  • High-risk domains
  • Documented incidents
  • Availability
  • Supported regions
  • Model provider
  • Model swappable
  • Open weights
  • Context window
  • Tool use
  • Multi-agent
  • Marketplace presence
  • Safety evaluations
  • Red teaming
  • Safety policy
  • Usage restrictions
  • Model or system card
  • Third-party evaluations
  • Data handling
  • Insurance available
  • Insurance carriers
  • Coverage limits
  • Indemnification
  • Liability cap
  • Tamper-evident log
  • Runtime governance
  • Compliance certifications
  • Regulatory alignment
  • Settlement mechanism
  • Dispute process
  • SLA terms
  • Evaluation coverage

Questions

How do Ask On Data and Wren AI compare on goal complexity?
Ask On Data: no public information disclosed. Wren AI: Multi-step reasoning in a sandbox, positioned against single-turn chat.
How do Ask On Data and Wren AI compare on user base?
Ask On Data: no public information disclosed. Wren AI: Self-reported 15,000+ data experts and analytics teams. The same page separately claims 50,000+ users (see deployment_scale); the two figures are not reconciled on the page.
How do Ask On Data and Wren AI compare on target sectors?
Ask On Data: no public information disclosed. Wren AI: Manufacturing, healthcare, finance, retail and media.
How do Ask On Data and Wren AI compare on price point?
Ask On Data: Free. Wren AI: no public information disclosed.
How do Ask On Data and Wren AI compare on integrations?
Ask On Data: flat files, API, Database, Data Lake & Data Warehouse, log files. Wren AI: 20+ data sources including BigQuery, PostgreSQL, ClickHouse and Amazon Redshift.
How do Ask On Data and Wren AI compare on support model?
Ask On Data: no public information disclosed. Wren AI: "Enterprise support" named as a paid-tier feature; no response times or remedies published.