Text-to-SQL built for data teams.
Connect your warehouse in minutes — no imports or semantic modeling required. Business users ask in plain English to generate SQL and visualizations. Data teams stay in control with fine-grained access and audit trails.
We tried building Text‑to‑SQL before but it was hard to manage. TablePrompt was exactly what we needed.
A. PatelHead of DataI get insights without asking analytics for yet another report. Answers arrive faster and with context I can trust.
M. RiveraOps LeadOur team gets the answers they need in a fraction of the time. It’s become a daily habit across the company.
J. KimFounder
Why TablePrompt
Not BI, by design
Traditional BI was built for dashboards, not natural language. TablePrompt was built for generative AI and self-serve access. Stakeholders get insights in plain English, and data teams stay in control.
Another data model? No thanks.
Data teams already spend months building and testing trusted data models. TablePrompt connects directly to that work — auto-generating metadata and PII tags — so stakeholders can ask questions in natural language and get governed answers instantly.
Say yes to AI, securely.
When leadership asks about AI, you don’t need to stall or experiment with in-house tools. TablePrompt delivers a real solution: natural-language queries, trusted datasets, and controls your data team can stand behind.
Your data, your rules
We don’t replicate data or expose unnecessary data. Data teams decide exactly which datasets, columns, and rows users can query. Admins stay in control with fine-grained policies like query timeouts, row limits, and retention settings.
Yet another Text-to-SQL tool?
We hear this a lot, and honetsly we get it. TablePrompt isn’t an MCP server for your data warehouse, and it isn’t an “AI analyst agent”. It’s built specifically for data teams who need to deliver self-serve insights using natural language while staying in control.
Skip the sales call
14-day free trial, no long-term contracts, no enterprise sales process. Forget surprise fees or confusing credit models. You get straightforward seat based pricing, unlimited LLM queries, and costs you can actually forecast.
Connect sources
Snowflake, BigQuery, Redshift, Postgres and more. Query on your own connections — no imports or copies. Use read-only credentials so data stays in your environment. Unlimited connections included.
Frictionless datasets
No semantic layers, YAML, or complex modeling. Out of the box, AI generates field descriptions, profiles data, tags PII, and lets you customize any detail.
Natural‑language SQL
Ask in plain English. AI finds the right datasets and columns, generates SQL with retries and syntax checks, and always shows you the final query. Admins can audit every response.
Answers you can trust
Each result includes a clear summary, a filterable/sortable table, and a suggested visualization you can adjust. Follow up with more questions — context is preserved.
Observability
Dashboards show which datasets and users are most active. Audit responses, collect feedback, and pair with granular access controls so the right people see the right data.
Security & governance
Control access with dataset groups (Finance, Sales, Ops, etc.) and column-level permissions. Hide PII or restrict sensitive fields as needed, with audit logs for compliance.
- Unlimited connections & datasets
- Unlimited ai credits
- Text‑to‑SQL with explanations
- 14‑day free trial
- Includes 10 users
- $25 per additional user
- Unlimited connections & datasets
- Unlimited ai credits
- Priority email support
- 14‑day free trial
- Private deployments
- Annual pricing
- Large user base
- White labeling
Prices in USD. 14‑day free trial on all plans. Cancel anytime. Taxes may apply.
Can I cancel anytime?
Yes. You can cancel directly from the billing page at any time, and you won't be charged again. No contracts, no sales calls, no hidden fees.
Do you offer a free plan?
No, but we include a 14-day free trial for new organizations.
Is my data secure?
Absolutely. TablePrompt queries your warehouse in read-only mode — we don't replicate your data or require imports. Data teams control which datasets and columns are exposed. All connections use encryption, and audit logs are available for compliance.
What is Text-to-SQL and how does TablePrompt use it?
Text-to-SQL lets users write queries in plain English and automatically generates SQL. Unlike generic tools, TablePrompt is built for data teams: it connects directly to your warehouse, applies governance and access controls, and always shows the final SQL for full transparency.
Which data warehouses and databases are supported?
TablePrompt connects to Snowflake, BigQuery, Redshift, Postgres, and more. You can add unlimited connections with read-only credentials, so all queries run directly in your environment.
Does TablePrompt replace my BI tool?
No. Traditional BI is built for dashboards and tracking metrics; TablePrompt is built for natural-language and ad-hoc questions. Most teams use them side-by-side — BI for standarized reports, TablePrompt for instant, self-serve insights.
Does AI see our data?
Yes and no. TablePrompt generates metadata from your datasets and only passes the necessary context to Large Language Models (such as OpenAI or Anthropic) to improve query accuracy. In some cases, a summarization stage may send condensed results to the model — but this can be turned off at any time.
Can non-technical users use TablePrompt?
Yes. Business users can ask questions in plain English without learning SQL. Data teams configure which datasets are available, so results are always accurate, secure, and governed.
How does TablePrompt handle PII and sensitive data?
Data teams can tag PII fields, hide specific columns, and enforce row limits or query timeouts. This ensures sensitive data is never exposed to the wrong users.
Can I self-host?
Not at this time but we have it on our roadmap
Get Started
Ready to get started?
Join teams using TablePrompt to move faster with data.
Start 14‑day free trial