Bluemetrix Data Manager
No-code data pipeline automation and governance
Founded
2013
Starting Price
Custom
Category
Automation & Integration
Last updated May 10, 2026
About Bluemetrix Data Manager
Bluemetrix Data Manager (BDM) is an enterprise-scale data pipeline orchestration platform that automates data ingestion, transformation, and governance across on-premises, cloud, and hybrid environments. Its drag-and-drop builder lets data teams assemble ETL workflows with built-in lineage, masking, and tokenization—no code required.
Pros & Cons
Pros
- No-code builder dramatically reduces time to deploy production pipelines
- Built-in tokenization and masking remove the need for separate data security tools
- Automated lineage and governance support compliance out of the box
- Deploys flexibly across cloud, on-prem, and hybrid Kubernetes environments
- Strong integrations with Cloudera, Snowflake, and Collibra for enterprise data stacks
Key Features
Visual Pipeline Builder
Drag-and-drop interface for assembling ETL and governance workflows without writing code.
200+ Transformation Functions
Library of prebuilt transformations covering common data preparation, cleansing, and enrichment needs.
Automated Data Lineage
Captures end-to-end lineage automatically as pipelines run, supporting audit and impact analysis.
Vaultless Tokenization
SecureToken module tokenizes and de-tokenizes sensitive data with FIPS 140-3 and NIST-compliant cryptography.
PII Masking at Ingest
Format-preserving encryption and rule-based masking applied during ingestion to protect PII by default.
Multi-Cloud and On-Prem Deployment
Runs on AWS, Azure, GCP, or on-premises with full Kubernetes compatibility.
Cloudera and Snowflake Support
Native integrations with Cloudera, Snowflake, and other modern data platforms for ingestion and orchestration.
Pricing
Enterprise
Custom
- Full BDM Control platform
- Visual pipeline builder
- 200+ transformation functions
- Automated lineage and governance
- Vaultless tokenization (SecureToken)
Best For
Regulated-Industry Data Pipelines
Banks, insurers, and healthcare organizations build compliant ingestion pipelines with tokenization and lineage baked in.
Cloudera-to-Cloud Migration
Teams modernizing from Cloudera Hadoop to Snowflake or cloud lakehouses use BDM to automate the migration of pipelines and metadata.
Self-Service Data Engineering
Analysts and citizen data engineers build production-grade ETL workflows visually without depending on a backlog of engineering tickets.
Governed AI Data Stack
Data platform teams secure the inputs to AI/ML workloads with masking, tokenization, and policy-driven governance.
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