Connection Reliability For An AI-Native SQL Workspace
Dory is an AI-native data workspace that connects databases for SQL, AI, and visualization, reaching 230 GitHub stars, but its issues cluster on the foundation any database client must nail: no option to toggle SSL for ClickHouse Cloud, PostgreSQL connections that fail after a successful connection test, and passwordless connections rejected as missing identity. Analysts will not trust an AI query layer that cannot reliably connect. The wedge is an AI SQL workspace whose connection handling across cloud databases is bulletproof, because the AI features are worthless if the client cannot log in.
Problem Statement
An analyst tries an AI SQL workspace to query ClickHouse Cloud but there is no way to set SSL to the value the server requires, a PostgreSQL connection fails to create even after the connection test passes, and a passwordless local database is rejected for a missing identity password. They cannot even connect, so the AI querying and visualization on top never get evaluated.
The Idea
An AI-native SQL workspace with bulletproof connection handling across cloud databases so analysts can trust the AI query and visualization layer on top.
Why Now
AI-assisted SQL became a real workflow in 2026 and a wave of AI data workspaces launched, but Dory's issues show they stumble on connection basics like ClickHouse SSL toggles and Postgres auth, which is the first thing an analyst tests and the fastest way to lose them before the AI features matter.
Target User
Data analysts and engineers who want AI-assisted SQL across cloud and local databases
Target Market
AI-assisted database clients and data workspaces
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