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#1 Data Automation

Bluemetrix for

Data Pipeline Automation 

A unified platform that empowers your data teams to automate data pipelines, operations, and governance across on-prem, cloud, and hybrid environments.
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Automation at Every Layer of the Data Stack

One platform. Zero manual overhead. Lower costs at scale. 

Data Pipeline

No-code/low-code templates, built-in validation, and drag-and-drop design to build and scale pipelines faster.

DataOps

Smart scheduling, real-time monitoring, and centralized dashboards for managing jobs, failures, and SLAs.

Data Governance

Automated lineage, policy enforcement, and tokenization to secure and govern PII data by default.

"With Control-M and Bluemetrix Data Manager, ING Bank Slaski reduces processing time by 70% while improving its data ingestion and validation processes."
Mariusz Narewski, Senior IT Manager, ING Bank Slask
ING Bank Automates Data Processing with Bluemetrix

Pipeline Automation, Without the Complexity

Bluemetrix is built the way developers would want it — powerful enough for coders, simple enough for non-coders. Skip the Spark boilerplate and visually build production-grade pipelines in hours, not weeks.

  • Visually build pipelines. Use Bluemetrix’s drag-and-drop builder to assemble ETL and governance workflows — no code needed.

  • Choose from 250+ built-in transformations. Aggregate, join, enrich, and clean data using a library of ready-to-use logic blocks.

  • Debug and test in real time. Spot issues instantly with step-by-step task logs and job failure insights built into the UI.

  • Code when needed. Use reusable pipeline templates for speed, or drop in Python and SQL when custom logic is needed.

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Governance by Design, Not by Exception

With Bluemetrix, governance isn’t bolted on — it’s built in. Security, lineage, and audit trails are captured automatically as PII data flows.

  • Capture lineage and metadata by default. Bluemetrix integrates with governance and catalog tools (Apache Atlas, Collibra, etc) to track pipeline-level activity and lineage.

  • Enforce masking and tokenization at ingest. Secure sensitive fields with FPE or rule-based masking — without adding extra tools.

  • Auto-tag and classify data. Machine learning algorithms suggest tags, classifications, and enforcement rules in real time.

  • Generate compliance reports in one click. Easily meet internal regulations i.e, GDPR, BCBS 239, DORA and more.

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Deploy Anywhere, Scale Infinitely

Proven across 500+ enterprise data deployments, Bluemetrix adapts to your infrastructure today — and scales with you tomorrow.

  • Deploy anywhere. Bluemetrix runs on AWS, Azure, GCP, or on-prem with full Kubernetes compatibility.

  • Plug into any scheduler. From Control-M to Airflow to any scheduler, Bluemetrix fits into your existing orchestration stack.

  • Connect everything. Natively integrate with JDBC, Kafka, JSON, AVRO, EBCDIC, and more — out of the box.

  • Version control with Git. Track changes, roll back versions, and manage pipelines just like code — all inside Bluemetrix.

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Explore Bluemetrix Data Manager's Features

Purpose-built features to simplifies complex workflows across modern data pipelines.

Frequently Asked Questions

About Data Automation

  • How do I learn more about BDM Ingest?
    Reach out here to learn more with BDM Ingest for free and automate data pipeline management with a visual low code builder. Alternatively, you can request a personalized demo from our team.
  • What data sources does BDM Ingest offer connectors for?
    Bluemetrix offers a full suite of Connection Profiles for major data sources - Mainframes, Data Warehouse, Files, Streaming Data - and destinations that includes, Databases: JDBC, etc. Files: JSON, CSV, AVRO, EBCDIC, Text, Parquet, ORC, etc Streams: Kafka & Spark Structured Streaming We also add new connectors based on customer requests. The more requests we get for a source, the higher we prioritize building the new connectors.
  • How does BDM Ingest automate the ingestion of data?
    Bluemetrix has been working with Hadoop and other Data Lake technologies since 2009, and in that time we have built over 400 enterprise Data Lakes. Using this experience we have developed our own proprietary technology to create an intelligent ingestion engine that simplifies the ingestion of data at scale. The functionality includes: Templates: The ability to build and use templates to ingest complex data sources Variables: The ability to use variables in templates to ingest complex data sources Large Scale Ingest: We have custom solutions to work with most data sources Orchestration: We support multiple scheduler tools to automate the execution of the ingestion Pipelines: BDM Ingest automates the creation and the management of your pipelines
  • How does Bluemetrix handle changes in the source, such as schema or API changes?"
    Our pipelines are configured to handle new fields or tables added to your source automatically, so you don’t need to make manual adjustments in the UI. As the schema of your data changes at source, we implement these changes at the destination plus we inform all pipeline owners that consume the source of the changes as they happen, so that they can change their pipelines if necessary. We constantly monitor and stay ahead of API changes or deprecations so you don’t need to think about it.
  • Do I have to do anything if an API endpoint is changed?
    No, the Bluemetrix team will update the connector. BDM Ingest is fully managed, including managing your destination schema in addition to staying ahead of API changes for all connectors.

Experience Bluemetrix for Yourself

Discover how automation, governance and scale come together

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