Cloudera Data Platform vs IBM Master Data Management on Cloud comparison

Cloudera Data Platform offers a powerful fusion of Hadoop technology and user-centric tools, enabling seamless scalability and open-source flexibility. It supports large-scale data operations with tools like Ranger and Cloudera Data Science Workbench, offering efficient cluster management and containerization capabilities.

Designed to support extensive data needs, Cloudera Data Platform encompasses a comprehensive Hadoop stack, which includes HDFS, Hive, and Spark. Its integration with Ambari provides user-friendliness in management and configuration. Despite its strengths in scalability and security, Cloudera Data Platform requires enhancements in multi-tenant implementation, governance, and UI, while attribute-level encryption and better HDFS namenode support are also needed. Stability, especially regarding the Hue UI, financial costs, and disaster recovery are notable challenges. Additionally, integration with cloud storage and deployment methods could be more intuitive to enhance user experience, along with more effective support and community engagement.

• Comprehensive Hadoop Stack: Integrates HDFS, Hive, Spark for large-scale data operations.
• User-Friendly Interface: Managed through Ambari, simplifying configuration.
• Seamless Scalability: Efficiently handles growing data demands with ease.
• Open-Source Flexibility: Offers a customizable platform for specific needs.
• Security Tools: Includes Ranger for advanced data protection measures.
• Data Science Workbench: Provides a robust platform for data modeling.
• Cluster Management: Efficient deployment and governance capabilities.
• Containerization Support: Facilitates modern data processing environments.

• Data Storage Flexibility: Handles diverse data types, enhancing storage solutions.
• Advanced Security: Features tailored for data protection and compliance.
• Scalability: Cost-efficient management of expanding data requirements.
• Operational Efficiency: Streamlined processes through effective tools.
• Data Science Integration: Supports building and deploying models efficiently.
• Industry Versatility: Applicable across finance, healthcare, and more.

Cloudera Data Platform is implemented extensively across industries like hospitality for data science activities, including managing historical data. Its adaptability extends to operational analytics for sectors like oil & gas, finance, and healthcare, often enhanced by Hortonworks Data Platform for data ingestion and analytics tasks.

IBM Master Data Management on Cloud provides a proven master data management (MDM) solution on the IBM SoftLayer global cloud platform. It offers the rich features of an on-premises MDM deployment without the cost, complexity, and risk of managing your own infrastructure.

Based on IBM InfoSphere Master Data Management Advanced Edition, IBM MDM on Cloud is a multi-domain solution that comes preinstalled and ready to run in small, medium, and large server configurations. IBM MDM on Cloud also includes capabilities from IBM Business Process Manager and IBM InfoSphere Information Server.

IBM MDM on Cloud provides a cost-effective entry point to InfoSphere MDM and a path to easily add new environments. It supports the following use cases:

• Quickly deploy development or test environments for new InfoSphere MDM projects.
• Move all or part of your InfoSphere MDM workload to the cloud.
• Comply with corporate mandates to move to the cloud.
• Reduce risk and initial cost for new projects and deliver faster return on investment.