AI for Database
aifordatabase.com
What it is
AI for Database lets teams question live databases or spreadsheets in plain English and build dashboards and alerts without writing SQL. It creates natural-language queries, accepts follow-up questions, and exports results to Sheets or CSV. Answers can become charts, scheduled reports, or shareable dashboards. Database workflows can send Slack alerts and email, call webhooks, or update CRM systems. Connectors listed include PostgreSQL, MySQL, MariaDB, MongoDB, SQL Server, SQLite, Oracle, Firebase, Firestore, Redis, and Google Sheets, alongside integrations such as BigQuery, Salesforce, HubSpot, Notion, and Airtable. Access is available through Claude, ChatGPT, Muse, and a public REST/OpenAPI interface. Connections begin read-only, with configurable permissions for specific actions. The security page describes AES-256 at rest, TLS 1.3 in transit, query and action logs, and schema-only sharing with AI providers. A free plan is listed; Pro costs $20 a month per user and Team costs $50 a month per user.
Spec sheet
- Purpose
- It lets teams ask questions of live databases or spreadsheets in plain English and create dashboards and alerts without writing SQL.Read 4 Oct 2026 · aifordatabase.com
- Intended users
- The site describes the product as built for teams without a data team, including sales managers, operations teams, product managers, and founders.Read 4 Oct 2026 · aifordatabase.com
- Compliance
- The security page labels SOC 2 as enterprise ready, GDPR as designed for, HIPAA as enterprise available, and ISO 27001 as aligned.Read 4 Oct 2026 · aifordatabase.com
- Support
- The pricing page lists support as contact-based for Pro and Team, with enterprise support terms agreed by contract.Read 4 Oct 2026 · aifordatabase.com
- AI assistants
- The site describes access through Claude, ChatGPT, and Muse, as well as a public REST and OpenAPI interface for agents.Read 4 Oct 2026 · aifordatabase.com
- AI data handling
- The security page says only schema metadata is sent to AI providers and query results stay in the user's environment.Read 4 Oct 2026 · aifordatabase.com
- Answers and queries
- The product generates natural language queries, supports follow-up questions, and can export results to Sheets or CSV.Read 4 Oct 2026 · aifordatabase.com
- 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.Read 4 Oct 2026 · aifordatabase.com
- Dashboards
- Answers can be turned into charts, scheduled reports, and shareable dashboards.Read 4 Oct 2026 · aifordatabase.com
- Database integrations
- Listed connectors include PostgreSQL, MySQL, MongoDB, SQL Server, SQLite, Oracle, Firebase, Redis, and Google Sheets.Read 4 Oct 2026 · aifordatabase.com
- 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.Read 4 Oct 2026 · aifordatabase.com
- Other integrations
- Listed analytics and action integrations include Mixpanel, Amplitude, CleverTap, MoEngage, Braze, Sentry, BigQuery, Slack, Salesforce, HubSpot, Notion, and Airtable.Read 4 Oct 2026 · aifordatabase.com
- Read-only access
- Database connections start read-only, with permissions configurable to enable specific actions as needed.Read 4 Oct 2026 · aifordatabase.com
- Workflows
- Database-driven workflows can trigger Slack alerts, email notifications, webhooks, and CRM updates.Read 4 Oct 2026 · aifordatabase.com
Plans and prices
Strong points and limits
Strong points
- Plain-English database and spreadsheet queries
- Broad database connector list
- Charts, reports, and shareable dashboards
- Read-only connections by default
- Free plan available
Limits
- Write operations are not supported
- AI usage pauses when credits run out
- Top-ups cost $10, $25, $50, or $100
- Enterprise pricing is agreed separately
Who it suits
The product is aimed at teams without a dedicated data team, including sales managers, operations teams, product managers, and founders. It suits users who need database answers, visualizations, and workflow alerts without writing SQL.
Verdict
AI for Database combines natural-language analysis with dashboards, alerts, and many connectors. Buyers should account for per-user credits and the product’s read-only starting model when planning usage.
Where Specifiction places it
- AI Database Assistants#6 of 218.0