RhinoAgents AI Database Assistant
RhinoAgents AI Database Assistant turns plain-English questions into SQL and helps teams inspect query bottlenecks, schemas, and database metrics.
What RhinoAgents AI Database Assistant is
RhinoAgents AI Database Assistant turns plain-English questions into SQL and helps teams inspect query bottlenecks, schemas, and database metrics. Its tools include query-plan and index profiling, schema and ERD discovery, and a searchable data dictionary. Native connectors are listed for PostgreSQL, MySQL and MariaDB, Snowflake, MongoDB, BigQuery, Redshift and Aurora, SQL Server, Oracle, ClickHouse, Redis, Supabase, and PlanetScale. Results can be exported to CSV, Excel, or JSON, and scheduled metric digests can be sent to Slack or Microsoft Teams. By default, it permits SELECT queries, uses a maximum 15-second timeout and a 1,000-row limit, and requires human approval for state-changing actions. The product page says records are not stored or used to train public LLMs, and cites TLS 1.3 encryption and SOC 2 Type II compliance. The web-based cloud service has a free trial with 100 execution credits and a paid plan at $99 a month, including 1,000 monthly credits.
Good
- Turns plain-English questions into SQL.
- Profiles query plans and indexes.
- Supports a broad range of database connectors.
- Exports results to CSV, Excel, or JSON.
- Requires approval for state-changing actions.
Watch out
- No free plan is listed.
- The paid plan costs $99 a month.
- The free trial is limited to 100 execution credits.
Who it suits
It is presented for data analysts, software engineers, product managers, business operations teams, DBAs, and SREs. Its schema, query, and metrics tools suit teams that want to ask database questions in plain English.
Verdict
RhinoAgents combines natural-language SQL generation with query and schema inspection, reporting, and safeguards. The free trial offers 100 execution credits; continued use starts at $99 a month.
Plans and prices
From RhinoAgents AI Database Assistant's own pricing page, checked 4 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free Trial | Free | 100 execution credits · 100 free execution credits; zero credit card required |
| AI Database Assistant | $99 a month | 1,000 monthly credits · no setup fees · no long-term lock-in · $99 / month; 1,000 execution credits included every month |
The facts
Each one read from RhinoAgents AI Database Assistant's own pages, with the date it was checked.
What it does
- Credit use
- The page lists text-to-SQL generation at 1 credit, an EXPLAIN plan and index audit at 2 credits, scheduled Slack reports at 3 credits, and full schema and ERD cataloging at 5 credits.checked 4 Oct 2026
- Data privacy
- The product page says database records are not stored or used to train public LLMs and cites TLS 1.3 encryption and SOC 2 Type II compliance.checked 4 Oct 2026
- Exports and reports
- Query results can be exported to CSV, Excel, or JSON, and scheduled metric digests can be sent to Slack or Microsoft Teams.checked 4 Oct 2026
- Private connectivity
- Connection options include AWS PrivateLink, GCP VPC peering, and SSL-encrypted SSH bastion tunnels.checked 4 Oct 2026
- Query and schema tools
- Features include query plan and index profiling, schema and ERD discovery, and a searchable data dictionary.checked 4 Oct 2026
- Read-only safeguards
- By default, the assistant permits SELECT queries, applies a maximum 15-second query timeout and a default 1,000-row limit, and requires human approval for state-changing actions.checked 4 Oct 2026
- Security controls
- RhinoAgents’ security page lists AES-256 encryption, role-based access controls, detailed audit logs, and data residency and retention controls.checked 4 Oct 2026
- Setup
- The listed setup flow connects a database, indexes schema metadata, and starts plain-English chat; Slack or Microsoft Teams connection is optional.checked 4 Oct 2026
- Support
- The product page offers a technical demo, and RhinoAgents’ pricing page describes custom enterprise deployments with dedicated engineering support.checked 4 Oct 2026
- Supported databases
- Native connectors are listed for PostgreSQL, MySQL and MariaDB, Snowflake, MongoDB, BigQuery, Redshift and Aurora, SQL Server, Oracle, ClickHouse, Redis, Supabase, and PlanetScale.checked 4 Oct 2026
- What it does
- The assistant turns plain-English questions into SQL and can analyze query bottlenecks, audit schemas, and retrieve database metrics.checked 4 Oct 2026
- Who it is for
- The product is presented for data analysts, software engineers, product managers, business operations teams, DBAs, and SREs.checked 4 Oct 2026
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