Move, mask, and govern your data

3TL Bridge moves your data, masks the sensitive parts, and logs everything, deployed on your infrastructure, not ours.

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One platform for every MongoDB data pipeline

Most ETL tools weren’t built for MongoDB, 3TL Bridge was. Pick up every change in real time, give engineers a proper studio to write and test transformation logic, and mask sensitive fields before data goes anywhere. No more scripts nobody else understands, just a pipeline platform your whole team can see and trust.

End-to-end pipeline governance

Every pipeline, script, and configuration lives in one place, versioned, auditable, and visible to all who need it.

Compliance-ready from deployment

Data masking, audit logging, and OIDC authentication meet enterprise security requirements from the start.

AI that operates, not just advises

Describe what you need, and the AI writes the script. Your engineers review it and ship it.

 Pipelines that survive production, no bespoke scripts

Custom MongoDB ETL scripts cost more than you think. Connectors break, nothing’s tested, transformation logic lives in code nobody else understands, and when something goes wrong at 2am there’s nothing to go on. 3TL Bridge gives engineers a proper studio to write your transformation logic once, test it against real data, and ship it knowing it works. 

Test before you deploy

Write assertions against the expected output, run them before every deployment, and catch problems before they reach production.

Checkpoint recovery

Pipelines resume from their exact position after restart or failover. No re-processing, data loss, or manual intervention.

Edit live pipelines

Import any running pipeline directly into the Transform Studio workspace, change the transformation logic, and redeploy while data continues to flow.

PII masked, credentials encrypted, actions logged

Your compliance team needs evidence, your security team needs one access pathway, and your platform team needs a deployment they can actually manage. 3TL Bridge gives all three, with PII masked before data goes anywhere, credentials encrypted, and every action logged and exportable. Security isn’t configured after the fact, it’s already there.

Real-time data masking

PII and sensitive fields are masked as data moves, not after it arrives. Built-in templates cover common GDPR, HIPAA, and CCPA use cases out of the box.

Structured audit logging

Every operation is logged with who does it, what they do, and when. Export it straight to your SIEM.

Multi-provider OIDC

Works with Google Workspace, Azure AD, or any standards-compliant OIDC provider. Runtime configuration means no per-customer image builds and no hardcoded credentials.

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MongoDB pipelines, done properly

Fivetran

Generic connector catalogue adapted for MongoDB, no transformation studio, no Change Stream-native CDC, limited flexibility for complex transformation logic.

3TL Bridge

MongoDB-native CDC via Change Streams, embedded Transform Studio with full Rhai scripting, AI assistance, and test-driven deployment.

Airbyte

Open-source connector framework with broad source coverage, but no purpose-built transformation IDE; transformation requires dbt or custom code outside the platform

3TL Bridge

End-to-end pipeline and transformation in a single platform. AI-generated scripts, assertion-based test suites, and versioned workspaces reduce time-to-deploy without external tooling.

Kafka Connect

Low-level connector framework requiring manual connector configuration, no UI, no transformation studio, no data masking, no audit trail out of the box.

3TL Bridge

Complete operational interface: visual pipeline management, Transform Studio, real-time metrics, data masking, and OIDC auth — without infrastructure assembly.

Custom scripts

Fragile, untested, undocumented, no audit trail, no checkpoint recovery, and invisible to everyone except the engineer who wrote them

3TL Bridge

Versioned transformation logic, proper test coverage, and a full audit log, built for the whole team.

Deployable in minutes, on your infrastructure

Kubernetes (Helm)

The production path — one Helm chart handles everything from ingress and secrets to monitoring and high availability. Multi-customer deployments get their own namespace and Helm release.

Docker Compose

For teams that don’t need Kubernetes, one command and you’re running.

OIDC authentication

Works with Google Workspace, Azure AD, or any standards-compliant identity provider. Set it up through environment variables, no rebuilds needed.

Observability Integration

Exposes Prometheus-compatible metrics out of the box, with a Kubernetes ServiceMonitor for automatic scraping and plugs into Grafana, Datadog, or whatever you’re already running. 

High availability

The application tier scales horizontally. If a pipeline stops for any reason, it picks up exactly where it left off.

Talk to us about your setup