Move data in real time, mask the sensitive parts
Move data between your MongoDB environments, transform it in a professional studio, and mask sensitive fields. With 3TL Bridge, everything is tracked, so you have a clear audit trail, without relying on custom scripts or risking exposed data.
One place to control every data pipeline
Instead of tracking issues across multiple tools, 3TL Bridge brings everything together. You can see all pipelines, transformations, and masking rules in one place, so problems like schema changes, new PII, or failed jobs are easier to spot and fix.
End-to-end pipeline control
All your pipelines, scripts, and masking rules are managed in one place, with full version history and audit tracking.
Built-in compliance from the start
Masking, audit logs, and secure access are included by default, so you don’t need to add them later.
AI that builds, not just suggests
Describe what you need in plain English, and AI generates the transformation script. Your engineers then review and deploy it.
Ship with confidence
Custom MongoDB ETL scripts often take more time and effort than expected. Connectors fail, testing is limited, and when something breaks, it’s hard to trace what went wrong. 3TL Bridge gives engineers a proper workspace to build transformation logic, test it with real data, and deploy it knowing it will work.
Secure data as it moves through your pipelines
Security is built into 3TL Bridge, not added afterwards. Sensitive fields are automatically masked before data is shared, credentials are encrypted, and every pipeline action is fully logged for auditing and reporting.
Mask sensitive data before it moves
Automatically hide personal data before it reaches any destination, with built-in templates for GDPR, HIPAA, and CCPA.
Clear audit logs
Track every action with full details of who did what and when, with export options for security tools.
Simple, secure sign-in
Works with Google Workspace, Azure AD, and other providers, with easy configuration and no infrastructure changes.
Sensitive data in the wrong place is a compliance risk
This usually happens because pipelines weren’t designed to handle masking, or because a schema change introduced new sensitive fields that went unnoticed. 3TL Bridge helps prevent this by detecting sensitive data early and masking it as data moves, so nothing is exposed by default.
Other tools move data, 3TL Bridge governs it
Move it, mask it, and prove it.
Airbyte
Not MongoDB-native, no built-in PII scanner, no transformation IDE, and nothing to govern who sees what.
3TL Bridge
MongoDB-native, PII masked in-stream, and AI-assisted transformation, all in one platform.
Airflow
Heavy to run and not built for MongoDB, every governance requirement means a separate implementation.
3TL Bridge
MongoDB-native pipelines with in-stream masking and a proper transformation studio, without the infrastructure overhead.
Databricks Pipelines
Built for large-scale analytics, not MongoDB data movement, no native Change Stream support, and no pipeline-layer masking.
3TL Bridge
Built for MongoDB teams that need governed pipelines by default, PII masked, audit trail included, ready in minutes.
Custom scripts
No PII discovery, no tests, no version control, no audit trail, and schema changes introduce new sensitive fields nobody catches.
3TL Bridge
Versioned, tested masking logic that’s auditable, consistently applied, and owned by the platform, not one engineer.
Fits your stack, not the other way around
3TL Bridge governs every person and every AI agent interacting with your MongoDB data, with PII masked at the point of movement and a full audit trail of everything that flows.
