Ask Claude or ChatGPT about the numbers in Redshift and get read-only answers from the tables you approved for each team.
Read from Amazon Redshift when someone asks. Nothing exported, nothing copied, and nothing in Amazon Redshift ever changes.
What was revenue by product line each month this year, and which line grew fastest?
Which accounts have not placed an order in the last 90 days?
What share of last month’s orders used a discount code, by sales channel?
The Amazon Redshift connection has no write actions. Nothing in Amazon Redshift changes because someone asked a question.
Already on dbt? We import the project (dbt Core is enough), and its definitions guide every answer from Amazon Redshift.
Your reporting already runs on Redshift, but every new question waits for someone who writes SQL. With FrontierOps, anyone can ask in plain English. Each team gets its own approved tables, your definitions guide the answer, and nothing can change the warehouse: the connection only reads.
An admin connects Amazon Redshift one time. Nobody hands over a personal login.
Each answer is read at the moment of the question. Nothing is exported or copied, so there is nothing to keep in sync.
What each role can see and do holds in every AI your team uses, and in your own agents.
Every question and every action, by every person and agent, in one audit trail.
No. The Redshift connection is read-only: one SELECT, WITH or EXPLAIN statement per call. UNLOAD, COPY and SELECT INTO are refused, so it cannot write a table or export a file.
Yes. It connects to a Redshift cluster or a Serverless workgroup, and reads tables in datashare and external schemas once you approve them by their full database, schema and table name.
Yes. You approve tables per team, by schema and table. A query that reaches into another schema, or tries to read the system catalog, is refused before Redshift runs it.
Yes, and one built for a whole company. FrontierOps gives Claude, ChatGPT and any other MCP client one connection to Amazon Redshift, set up once by an admin. What each role can read or change is decided in FrontierOps, and every call is on record, instead of each person running their own server with their own login.
A direct connection links one AI to Amazon Redshift through one person’s login, with that person’s settings. That works for one person. For a team it means no shared definitions, no single place to decide who can see or change what, and starting over when you switch AI. Through FrontierOps, Amazon Redshift is connected once, for every AI and every agent, under one set of permissions, with every call on record.