agent · data analysis
Ask On Data vs NLSQL
55 fields both were evaluated on, 26 of them different — including where one discloses something the other does not. Every value links to the document it came from. 29 further fields are disclosed by neither and are listed at the end rather than tabled.
Assurance
| Field | Ask On Data | NLSQL |
|---|---|---|
| Audit trail· | “Action History and Undo Functionality Access a comprehensive history of all actions performed on your data.”askondata.com · checked Aug 2, 2026 | no public information nlsql.com · checked Aug 2, 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 | no public information nlsql.com · checked Aug 2, 2026 |
| Compliance certifications· | no public information askondata.com · checked Aug 2, 2026 | |
| Regulatory alignment· | no public information askondata.com · checked Aug 2, 2026 | |
| Outcome-based pricing· | based on the amount of data “our costing is based on the amount of data”askondata.com · checked Aug 2, 2026 | no public information nlsql.com · checked Aug 2, 2026 |
Agency
| Field | Ask On Data | NLSQL |
|---|---|---|
| Operating environment· | no public information askondata.com · checked Aug 2, 2026 | “deployed straight to your Azure subscription, with no data ever leaving your infrastructure.”nlsql.com · checked Aug 2, 2026 |
| Initiative· | no public information askondata.com · checked Aug 2, 2026 | “An intelligent agent that autonomously runs analytics, detects anomalies and delivers proactive insights right inside Microsoft Teams & Slack — no manual queries needed.”nlsql.com · checked Aug 2, 2026 |
Safety
| Field | Ask On Data | NLSQL |
|---|---|---|
| Safety evaluations· | no public information askondata.com · checked Aug 2, 2026 | “Microsoft-certified Enterprise-grade and GDPR-ready”nlsql.com · checked Aug 2, 2026 |
| Safety policy· | no public information askondata.com · checked Aug 2, 2026 | |
| Incident reporting· | Support@AskOnData.com “you can reach out on Support@AskOnData.com”askondata.com · checked Aug 2, 2026 | no public information nlsql.com · checked Aug 2, 2026 |
| Third-party evaluations· | no public information askondata.com · checked Aug 2, 2026 | |
| Data handling· | no public information askondata.com · checked Aug 2, 2026 |
Practicality
| Field | Ask On Data | NLSQL |
|---|---|---|
| Pricing model· | based on the amount of data “our costing is based on the amount of data”askondata.com · checked Aug 2, 2026 | |
| Price point· | ||
| Availability· | no public information askondata.com · checked Aug 2, 2026 | |
| 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 | |
| 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 | “Ask in plain English — get queries, data and visualizations in seconds across SQL Server, PostgreSQL, SAP HANA, Snowflake, Redshift, MySQL, Supabase & more.”nlsql.com · checked Aug 2, 2026 |
Foundation models
| Field | Ask On Data | NLSQL |
|---|---|---|
| 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 | no public information nlsql.com · checked Aug 2, 2026 |
| Model provider· | no public information 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 | no public information nlsql.com · checked Aug 2, 2026 |
Ecosystem
| Field | Ask On Data | NLSQL |
|---|---|---|
| API access· | no public information askondata.com · checked Aug 2, 2026 | “NLSQL Structured databases AI data analytics for structured datasets Natural Language to SQL API.”nlsql.com · checked Aug 2, 2026 |
| Marketplace presence· | no public information askondata.com · checked Aug 2, 2026 |
Impact
| Field | Ask On Data | NLSQL |
|---|---|---|
| User base· | no public information askondata.com · checked Aug 2, 2026 | “Trusted by data teams at 6,700 + Users on the platform — and growing 1,900 + Monthly active users every month”nlsql.com · checked Aug 2, 2026 |
| Deployment scale· | no public information askondata.com · checked Aug 2, 2026 | “Trusted by 6,700+ users across global enterprises”nlsql.com · checked Aug 2, 2026 |
| Target sectors· | no public information askondata.com · checked Aug 2, 2026 | “Healthcare NLSQL for Healthcare AI analytics for ICU and hospital information systems — real-time clinical data access for clinicians, with no SQL required and no data leaving the hospital network.”nlsql.com · checked Aug 2, 2026 |
| High-risk domains· | no public information askondata.com · checked Aug 2, 2026 | “Healthcare NLSQL for Healthcare AI analytics for ICU and hospital information systems — real-time clinical data access for clinicians, with no SQL required and no data leaving the hospital network.”nlsql.com · checked Aug 2, 2026 |
Disclosed by neither
Both Ask On Data and NLSQL publish nothing on these 29 fields. That is a finding about the category rather than a difference between them, so it is recorded here instead of as 29 identical table rows. Each is shown with its source check on the individual profiles.
- Autonomy level
- Human oversight
- Goal complexity
- Action space
- Documented incidents
- Supported regions
- Support model
- Model swappable
- Open weights
- Context window
- Protocols supported
- Tool use
- Multi-agent
- Open source
- Red teaming
- Usage restrictions
- Model or system card
- Insurance available
- Insurance carriers
- Coverage limits
- Indemnification
- Liability cap
- Tamper-evident log
- Runtime governance
- Permission scopes
- Settlement mechanism
- Dispute process
- SLA terms
- Evaluation coverage
Questions
- How do Ask On Data and NLSQL compare on base models?
- Ask On Data: fine tuned LLM models. NLSQL: no public information disclosed.
- How do Ask On Data and NLSQL compare on fine-tuning?
- Ask On Data: fine tuned LLM models. NLSQL: no public information disclosed.
- How do Ask On Data and NLSQL compare on incident reporting?
- Ask On Data: Support@AskOnData.com. NLSQL: no public information disclosed.
- How do Ask On Data and NLSQL compare on outcome-based pricing?
- Ask On Data: based on the amount of data. NLSQL: no public information disclosed.