Connect Any Source,
Optimize Any Target
BimlFlex's metadata-driven architecture connects to any data source
while delivering optimized automation for Azure Data Services, Snowflake, and SQL Server.
Universal Sources, Perfected Targets
Any sources can feed into your solution, with peak acceleration achieved on leading modern data platforms.
Any Source System
BimlFlex treats any system with accessible metadata as a source. Whether it's a relational database (SQL Server, Oracle, MySQL, PostgreSQL), a NoSQL store, flat files (CSV, JSON, XML), APIs, or even mainframe and legacy systems. If you can describe the structure, BimlFlex can ingest and model it.
Optimized Target Platforms
BimlFlex's true strength is taking any data source and effortlessly automating it to fit modern data platforms. The platform is optimized with out-of-the-box automation templates and patterns for building modern data solutions on Azure Data Services, Snowflake, and SQL Server.
Built for Leading Data Platforms
Feed any source into your solution.
Experience peak acceleration with leading modern data platforms.
Natively support for Azure's data ecosystem with built-in templates that align with Microsoft's architecture standards:
- Azure Data Factory for orchestrating data movement
- Synapse Analytics for SQL pool transformations
- Azure Databricks for complex processing at scale
Purpose-built templates that leverage Snowflake's unique architecture:
- Virtual warehouse optimization patterns
- Scalable compute and zero-copy cloning workflows
- Snowflake-optimized transformations and orchestration
For teams embracing lakehouse architecture or scaling advanced analytics:
- Metadata-driven generation supports PySpark and SQL-based transformations
- Integration with orchestration tools like ADF for end-to-end pipeline automation
- Standardized governance without sacrificing flexibility or performance
How It Works
From metadata discovery to automated deployment. In days, not weeks.
1. Metadata Discovery
BimlFlex analyzes your source systems and captures metadata in a platform-agnostic format.
2. Business Logic Definition
Define transformation logic, data models, and business rules once in BimlFlex's metadata repository.
3. Native Code Generation
Automatically generate platform-specific code optimized for your target environment's unique capabilities.
4. Automated Deployment
Deploy with integrated monitoring and orchestration through each platform's native tools.
How BimlFlex Optimizes for Each Platform
BimlFlex generates native artifacts like SQL scripts, ADF pipelines, Databricks notebooks, all designed to run efficiently on each target platform.
It goes beyond generic compatibility by leveraging platform-specific features like Delta Lake for Databricks or dedicated SQL pools in Synapse. Orchestration, transformation, and deployment patterns are all built with your platform’s strengths in mind. You’re not just supported, you’re optimized.
Any system can feed your solution.
But the real speed, scale, and stability come when BimlFlex targets platforms it's built to accelerate.
Get Started
Schedule a demo to see first-hand how BimlFlex can transform your data development
and accelerate your data projects for your specific platform environment.
