Studio 3TL Bridge: Introduction
MongoDB-native CDC and ETL pipeline platform — visual pipeline management, AI-powered transformation studio, and real-time data masking.
MongoDB-native CDC and ETL pipeline platform — visual pipeline management, AI-powered transformation studio, and real-time data masking.
Deploy 3TL Bridge locally with Docker Compose or to production with Kubernetes Helm.
Platform components, data flow, and deployment topology for 3TL Bridge.
Monaco editor, Rhai scripting, workspaces, and assertion-based test suites — all in the browser.
Visual control plane for every pipeline — live metrics, start/stop/restart, and checkpoint-backed resume.
Drive a pipeline from a schema instead of a database — for a first pipeline, a demo, or a repeatable load run.
Read data that is already in a collection — to seed a new sink, re-load a range, or follow an append-only collection without a change stream.
Two AI interfaces — a guided assistant in Transform Studio and an autonomous agent for infrastructure operations — powered by the same backend engine.
Real-time PII masking at the transformation layer — before sensitive data reaches any sink.
Every pipeline records what it reads, what it writes and what it does to each field — and can produce a report of it for any moment in the past.