Your data stack, in plain English.
JESTR connects to BigQuery, Snowflake, and Databricks. Ask questions and request dbt corrections — no SQL, no ticket, no waiting.
Built by an analytics architect with 10 years in marketing data.
Not sure if your stack is ready? Take the free AI Readiness Assessment.Live demo — rotates through corrections and data questions automatically
The old way is exhausting. There's a better one.
Two capabilities. Both in plain English.
Ask Your Data
Type a question in plain English. JESTR reads your schema and generates a dialect-aware query against your warehouse.
Results come back as a clear, readable response. Admins can see the SQL that ran. No BI tool required.
Request a Correction
Tell JESTR what needs to change. No SQL, no dbt syntax — just describe the problem and the desired outcome.
JESTR generates the exact file change and shows you a diff. An admin approves it, and a pull request is opened automatically.
See how teams are using JESTR to move faster.
JESTR already works with BigQuery and dbt. Here's what's expanding next.
The same natural language query experience, extended to Snowflake and Databricks warehouses. Dialect-aware SQL generation. Same simple interface.
For teams not using dbt, describe a data change in plain English. JESTR generates the DML, an admin approves it, and it runs against your Delta Lake table with a full audit trail.
Built for analysts, not just engineers.
Anyone on the team can ask questions or submit corrections — no SQL, no dbt, no BI tool required.
Every data change is reviewed by an admin before it touches your warehouse. No surprises, no unauthorized edits.
Cut the back-and-forth with engineering. Ask a data question or submit a correction in minutes, not days.
Every request — query or correction — is logged with context, who asked, and what happened.
Watch a walkthrough of the data correction workflow — from plain English request to approved pull request.
Your data and infrastructure are sensitive. Here's what we do to keep them protected.
Every piece of data — clients, requests, and users — is scoped to your organization. Users from other organizations cannot see or access your data, even with a valid account.
All AI-generated file paths are validated against a known whitelist before use. No crafted input can direct the system to access or modify files outside your SQL model directory.
No data change — whether a SQL model edit or a DML operation — is ever applied without an admin reviewing and approving it first. Users can propose. Only admins can execute.
AI-generated queries are validated to be SELECT-only before execution across all supported warehouses. No write, delete, or schema-altering operations are possible through the Ask Data feature.
Questions about fit for your stack, your organization's setup, or want a walkthrough? Reach out.