HPE Ezmeral Data Fabric and Cloudera Data Platform compete in providing enterprise-level data solutions. Cloudera often has the upper hand due to its advanced features, despite HPE's competitive pricing and support advantages.
Features: HPE Ezmeral Data Fabric features global data availability, high-performance workload management, and diverse workload support. Cloudera Data Platform includes advanced machine learning, analytics capabilities, and high integration and scalability, with a focus on broader analytical abilities.
Room for Improvement: HPE Ezmeral Data Fabric can improve in areas such as broader feature availability, enhanced analytics capabilities, and increased integration options. Cloudera Data Platform may improve by streamlining initial deployment, reducing complexity, and offering more cost-effective solutions for smaller enterprises.
Ease of Deployment and Customer Service: HPE Ezmeral Data Fabric offers streamlined deployment and helpful support systems. Cloudera Data Platform requires complex initial setup but provides extensive documentation and robust customer support resources.
Pricing and ROI: HPE Ezmeral Data Fabric typically requires a lower initial investment, favoring cost-effective solutions. Cloudera Data Platform is more expensive but offers significant ROI through its enhanced features and capabilities.
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.
What are the key features?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.
Forward-leaning companies win market share because they leverage data more effectively than their competitors. Unlock the potential of your data assets with HPE Ezmeral Data Fabric (formerly MapR Data Platform). Empower your data science, analytics, and business teams by simplifying data management on a globally distributed scale. All with enterprise-grade reliability, security, and performance.
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