BMC Control-M
Control-M for the Modern Data Stack
Snowflake, Databricks, and dbt are exceptional platforms for building data pipelines. Control-M is the enterprise orchestration and governance layer that makes those pipelines reliable in production: enforcing SLAs, managing cross-system dependencies, and connecting the data stack to ERP systems, file transfers, AI workloads, and downstream consumers.
Talk to a SpecialistWhat It Does
Unify Your Modern Data Stack
BMC Control-M's data pipeline orchestration capabilities let you manage dbt, Snowflake, Databricks, Spark, and other modern data tools from a single control plane, alongside your existing enterprise workloads.
VPMA's data engineering consultants bring deep experience in modern data architectures and Control-M integration to design orchestration solutions that scale with your data strategy.
Capabilities
Common Use Cases
Built for Modern Data Operations
ELT Pipeline Management
Orchestrate extract-load-transform pipelines across cloud data warehouses with dependency control and failure recovery.
Real-Time Streaming
Coordinate streaming pipeline workflows alongside batch jobs for unified data operations management.
Data Mesh Orchestration
Enable self-service data product delivery while maintaining enterprise-grade governance and SLA compliance.
Platform Integrations
How Control-M Connects to Your Stack
Snowflake
Execute SQL statements, stored procedures, and Snowpark Python scripts as Control-M jobs. Trigger Dynamic Table refreshes and Snowflake Tasks as governed workflow steps. Manage Snowflake Cortex AI functions as part of the same pipeline as your data loads.
Databricks
Run notebooks, JARs, Python scripts, and Delta Live Tables pipelines as Control-M jobs. Orchestrate multi-task Databricks Workflow runs with enterprise SLA management and cross-system dependency visibility above the Databricks layer.
dbt
Trigger dbt Cloud runs and dbt Core CLI executions as Control-M workflow steps. Chain dbt model runs with upstream Snowflake/Databricks loads and downstream BI dashboard refreshes, with SLA alerting if the model doesn't finish on time.
Apache Airflow
Control-M integrates natively with Airflow, Airflow DAGs participate in broader enterprise workflows without migration. Control-M provides SLA governance and cross-system dependency management above the Airflow layer.
Why VPMA
VPMA has been implementing Control-M and Snowflake integrations since 2018, one of the earliest adopters in the BMC partner ecosystem. Our data solution architects have designed modern data platforms spanning Databricks, Snowflake, and dbt for customers across Financial Services, Healthcare, and Higher Education.
Ready to orchestrate your data pipelines?
VPMA's data and Control-M specialists will design the right architecture for your stack.