See Your Data Pipeline Build Itself
Book a personalized walkthrough of BimlFlex to watch your metadata become native, production-ready assets
for Fabric, Databricks, Snowflake, and SQL, with built-in standards, lineage, and governance.
Trusted by teams delivering governed data at scale.
Why Book a Demo
Model Once, Ship Everywhere
Define intent in metadata and generate native pipelines, tests, and docs across cloud and warehouse targets.
Standards by Default
Built-in patterns for Lakehouse/Lakeflow, naming, and governance eliminate glue work and rework.
Change at the Speed of Metadata
Update rules, regenerate, and keep code, docs, and lineage in lockstep.
What You'll See
A comprehensive walkthrough of BimlFlex capabilities
Rapid modeling of sources/targets and business rules
One-click generation of native assets (Fabric, Databricks, Snowflake, SQL)
Automated lineage, documentation, and CI/CD-friendly structure
Lakehouse/Lakeflow templates that replace boilerplate and hand-wiring
Governance and naming standards applied automatically
How a single change in metadata propagates across environments
Tailor the Walkthrough
Choose the paths that fit your role and stack. We'll customize live.
Builders
Author once in metadata, generate native code across platforms, validate with automated tests and preview builds
Project Owners
Set a predictable delivery cadence, reduce risk with templates, keep review flow clear and measurable
Databricks/Fabric Adopters
Use proven Lakehouse patterns, manage workspaces cleanly, hand off governed datasets to downstream marts
Governance Leaders
Bake in lineage and documentation, enforce standards consistently across teams and environments
Platforms We Can Demo
What You'll Leave With
Clear Understanding
A clear picture of how metadata drives code, tests, and docs
Example Artifacts
Example project artifacts and next-step recommendations
Session Recording
A recorded session (on request) so your team can review
Book Your Demo
No pressure
This is a hands-on walkthrough, not a sales script.
Time well spent
We'll focus on your platform and priorities.
Privacy
No customer data required. We’ll showcase automation using sample metadata.
