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Chat with Aurora Postgres or Aurora MySQL in plain English.
Amazon Aurora is fully wire-compatible with PostgreSQL and MySQL, and iDBQuery connects the same way it does to any Postgres or MySQL source. Whether you're on Aurora PostgreSQL, Aurora MySQL, Aurora Serverless v2, or a Global Database with cross-region replicas, paste the cluster endpoint (writer or a reader for analytical workloads) and credentials, and the schema is introspected in seconds. Every chat question is translated to safe parametrized SQL, executed read-only, and returned as a chart, table, stat card, or dashboard. JSONB, arrays, window functions, CTEs, materialized views, ENUMs, and PostGIS on Aurora Postgres all surface to the model; on Aurora MySQL, JSON columns, virtual columns, and spatial types are picked up. For clusters in private VPCs, an SSH tunnel through a bastion host keeps the connection private. We recommend pointing iDBQuery at a reader endpoint with a read-only IAM-authenticated database user for production-grade least-privilege. Credentials are encrypted at rest with strong symmetric encryption, decrypted only at query time, and never returned by any API. The free tier — 1M tokens per month, three sources, five reports, no credit card — lets you validate the integration on a real Aurora cluster before committing. iDBQuery turns Aurora into a conversational analytics surface for your whole team.
Everything iDBQuery's Amazon Aurora connector supports out of the box.
Project → Add source → PostgreSQL (Aurora Postgres) or MySQL (Aurora MySQL).
From the RDS console grab the cluster's reader endpoint for analytical workloads. Default ports: 5432 (Postgres) or 3306 (MySQL).
If the cluster lives in a private VPC, toggle SSH tunnel and provide an EC2 bastion host plus key or password.
Ask 'Show monthly revenue per region for the last 12 months' — the AI writes the SQL and renders the chart.
Free tier covers most teams. No credit card.
No credit card required · 1M tokens / month free