BMC – Control-M for Hadoop (on-premise)

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Control-M simplifies the management and monitoring of batch processes, integrating all aspects into a single viewpoint, providing an increased span of control, improving productivity, and reducing errors and delays. Control-M provides cross-application and cross-platform scheduling capabilities, such as job dependencies, workload balancing, and event based job execution, preventing scheduling challenges from becoming business challenges.


Powerful, simple interface: Users create and manage workflows via the interfaces they prefer. Graphical interfaces minimize the knowledge required of scheduling or Hadoop. Jobs are built and scheduled through wizard-like forms that include dropdown menus to simplify selection of the correct parameters and prevent input errors. Command line and programming interfaces enable developers to minimize scripting. Interfacing with enterprise applications, scheduling jobs, and monitoring their status are just as easy.




Comprehensive support: Control-M for Hadoop can manage workflows and integrate data from multiple sources. Supported solutions and formats include:

  • Hadoop – Spark, Oozie, Impala, DistCp, PigTM, HiveTM, SqoopTM, TajoTM, Streaming, Hive Server 2, and Hadoop Distributed File System (HDFS) operations
  • Enterprise Data Warehouses (EDW) – Informatica®, IBM® InfoSphere® DataStage®, IBM DB2, Microsoft® SQL ServerTM, Oracle® databases, and others
  • Technologies – FTP, sFTP, Web Services, Enterprise Java Beans (EJB), and Java® applications
  • ETL functions and business intelligence systems – Informatica, IBM® Cognos®, SAP® BusinessObjectsTM, Oracle® Business Intelligence, and SQL Server SSIS
  • RDBMS – Oracle, Sybase®, DB2/UDB, SQL Server, and PostgreSQL®
  • Virtualization and cloud – Amazon® EC2TM, BladeLogic, and VMware®
  • Backup systems–Symantec® NetBackupTM and IBM® Tivoli® Storage Manager
  • Operating systems – Microsoft® Windows®, UNIX®, Linux®, IBM® z/OS®, IBM® iSeries®, Tandem®, and OpenVMS


Self-service: Users can monitor and manage their own workloads from any browser-based device, including mobile iOS® and AndroidTM devices.

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Control-M for Hadoop automates Hadoop batch processing and enables Hadoop workflows to be developed, scheduled, managed, and monitored with all other enterprise workloads in a single solution. It takes the complexity out of Hadoop management, accelerating implementation and delivering more accurate results. BUSINESS CHALLENGE The data that Hadoop manages is often collected from different sources, such as enterprise data warehouses, relational databases, and traditional applications. These sources must be combined and synchronized to give Hadoop the timely input it needs. This integration is difficult to build, and development is typically done with scripts, which are time consuming to develop and maintain. This complexity limits the speed at which Hadoop applications can be delivered, making it difficult to adapt to the challenges posed by increasingly diverse infrastructure, disparate data, and accelerated applications. BMC SOLUTION Control-M delivers the next wave of IT automation—Digital Business Automation— moving beyond traditional workload automation and adapting to modern IT technologies and processes. Control-M for Hadoop streamlines and simplifies Hadoop batch processing. It shortens development time by providing an intuitive interface for building workflows. It also includes native support for Hadoop, traditional platforms and applications, and file transfers, making it easier to create batch flows. By simplifying workflow creation and management, Control-M for Hadoop helps enterprises get more out of their big data initiatives.


  • Control-M for Hadoop simplifies workflow creation and management.
  • Familiar interface – Manage Hadoop workloads through a simple drag-and-drop interface that provides universal visibility and control for all enterprise workloads
  • Flexible ecosystem support – Apache® Spark™ , Apache® Oozie™ , Apache® DistCP® , Apache® Impala, and other jobs can all run through Control-M for Hadoop
  • Increased availability – The co-location requirement for IBM® CICS® /IBM® DB2® , CICS/ IBM® IMS™ DB, IMS TM/DB2 is no longer an issue, allowing data access calls to be redirected upon a DB2 or IMS system failure and increasing availability
  • Improved reliability – Detects and prevents potential problems with forecasting features and predictive analytics; restarts can be attempted automatically without requiring human intervention


  • Makes implementation fast and accurate by replacing manual scripting with automated workflow management and data integration, dramatically shortening development time, preventing coding errors, and reducing time-to-value
  • Improves business focus instead of spending time building connectors and coordinating multiple tools




Overseeing the day-to-day development of Hadoop comes with its own challenges.

From the infrastructure to the domain expertise, it’s up to you to ensure the end result answers everyone’s questions.

The speed and quality of the Hadoop code your team delivers is just one key component for success.

Learn how Control-M for Hadoop can:

  • Build and deploy big data pipelines with Jobs-as-Code and seamlessly inject the job workflows in your continuous integration and continuous delivery cycles
  • Convert existing workflows to Control-M—scripted, Oozie, or another enterprise scheduler—to maintain continuity and reduce lost cycles
  • Ease the handoff of code to Operations, driving a continuous delivery model





Setting the technical direction and design for your Hadoop initiative is easier said than done.

New solutions hit the open source market daily and sorting through what will provide the greatest chance of success in the shortest amount of time can be daunting.

Keep your project moving forward with the visibility, accessibility, and security your big data project requires.

Control-M for Hadoop can help you:

  • Deliver your Hadoop project faster and with more accuracy, seamlessly connecting to any application and any database across the enterprise
  • Automate batch workflow development ensuring fewer complications and the need for revisions by developers
  • Enhance the stability and security of your enterprise-grade Hadoop environment






As the owner for big data initiatives in your organization you are constantly working to ensure your team has the tools needed to ensure not only

implementation success but also analytical value to drive strategic direction and opportunities for competitive advantage.

Delivering on schedule and on budget determines the project’s success.

Control-M for Hadoop can help you:

  • Justify continued investment, reducing the dependence on costly storage ·
  • Right-size the skilled staff required to deliver big data
  • Standardize processes while allowing your team to work with the tools most suited to them




Automate and accelerate big data batch workflows ·

  • Automate data ingestion from any application and any database from a single point of control
  • Get an end-to-end picture of data pipelines at every stage from data ingestion to processing to analytics
  • Manage business SLAs for service delivery and resolve critical issues before SLAs are missed
  • Enable continuous integration and continuous delivery for your big data batch workflows by leveraging Jobs-as-Code



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