AI for Database
AI for Database lets teams ask questions about live databases or spreadsheets in plain English, then build dashboards and alerts without writing SQL.
What AI for Database is
AI for Database lets teams ask questions about live databases or spreadsheets in plain English, then build dashboards and alerts without writing SQL. It generates natural-language queries, supports follow-up questions, and can export results to Sheets or CSV. Answers can become charts, scheduled reports, or shareable dashboards. Workflows can send Slack alerts and email, call webhooks, or update CRMs. Listed database connections include PostgreSQL, MySQL, MariaDB, MongoDB, SQL Server, SQLite, Oracle, Firebase, Firestore, Redis, and Google Sheets. Access is also described through Claude, ChatGPT, Muse, and a public REST and OpenAPI interface for agents. Database connections begin read-only, with permissions configurable for specific actions. The security page says data is encrypted at rest and in transit, with queries and actions logged; it also says only schema metadata is sent to AI providers while query results stay in the user's environment. A free plan is available; Pro costs $20 a month per user and Team costs $50 a month per user.
Good
- Plain-English questions generate database queries
- Answers can become charts and scheduled reports
- Workflows can trigger alerts and CRM updates
- Connections start read-only
- A free plan is available
Watch out
- AI usage pauses when credits run out
- Pro costs $20 a month per user
- Team costs $50 a month per user
Who it suits
It is aimed at teams without a data team, including sales managers, operations teams, product managers, and founders. It may suit users who want to explore connected data and create reports without writing SQL.
Verdict
AI for Database combines natural-language querying with reports, dashboards, and workflow actions across listed database and business integrations. Check the credit model and paid plan details if your team expects sustained AI usage.
Plans and prices
From AI for Database's own pricing page, checked 4 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Pro | $20 a month | per user · $20 credits per payment · unlimited workflows · credits do not expire · billed monthly; annual billing is $192 per user |
| Team | $50 a month | per user · $50 credits per payment · unlimited workflows · credits do not expire · billed monthly; annual billing is $480 per user |
| Enterprise | Priced on request | custom usage and seats · support and deployment terms by contract · Terms agreed separately |
The facts
Each one read from AI for Database's own pages, with the date it was checked.
What it does
- AI assistants
- The site describes access through Claude, ChatGPT, and Muse, as well as a public REST and OpenAPI interface for agents.checked 4 Oct 2026
- AI data handling
- The security page says only schema metadata is sent to AI providers and query results stay in the user's environment.checked 4 Oct 2026
- Answers and queries
- The product generates natural language queries, supports follow-up questions, and can export results to Sheets or CSV.checked 4 Oct 2026
- Compliance
- The security page labels SOC 2 as enterprise ready, GDPR as designed for, HIPAA as enterprise available, and ISO 27001 as aligned.checked 4 Oct 2026
- Credit limits
- Subscription payments become per-user credits that do not expire; AI usage pauses when the balance runs out, and top-ups are offered in $10, $25, $50, and $100 amounts.checked 4 Oct 2026
- Dashboards
- Answers can be turned into charts, scheduled reports, and shareable dashboards.checked 4 Oct 2026
- Database integrations
- Listed connectors include PostgreSQL, MySQL, MongoDB, SQL Server, SQLite, Oracle, Firebase, Redis, and Google Sheets.checked 4 Oct 2026
- Encryption and audit
- The security page states that data is encrypted at rest with AES-256 and in transit with TLS 1.3, and that queries and actions are logged.checked 4 Oct 2026
- Intended users
- The site describes the product as built for teams without a data team, including sales managers, operations teams, product managers, and founders.checked 4 Oct 2026
- Other integrations
- Listed analytics and action integrations include Mixpanel, Amplitude, CleverTap, MoEngage, Braze, Sentry, BigQuery, Slack, Salesforce, HubSpot, Notion, and Airtable.checked 4 Oct 2026
- Purpose
- It lets teams ask questions of live databases or spreadsheets in plain English and create dashboards and alerts without writing SQL.checked 4 Oct 2026
- Read-only access
- Database connections start read-only, with permissions configurable to enable specific actions as needed.checked 4 Oct 2026
- Support
- The pricing page lists support as contact-based for Pro and Team, with enterprise support terms agreed by contract.checked 4 Oct 2026
- Workflows
- Database-driven workflows can trigger Slack alerts, email notifications, webhooks, and CRM updates.checked 4 Oct 2026
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