HPE Ezmeral Data Fabric and Cloudera Data Platform compete in the enterprise data management market. Cloudera Data Platform has the upper hand due to its integration and processing capabilities, appealing to businesses with advanced data processing demands.
Features: HPE Ezmeral Data Fabric offers strong data recovery, scalability, and hybrid deployment support. Cloudera Data Platform focuses on data integration, analytics, and enhanced machine learning tools. It provides a broad ecosystem facilitating unified analytics.
Room for Improvement: HPE Ezmeral Data Fabric could improve its integration and analytics capabilities. Its machine learning features may require enhancement. Additionally, expanding its ecosystem support could be beneficial. Cloudera Data Platform might refine its deployment flexibility and scalability for more diverse infrastructures. Improving the cost-effectiveness of its initial setup could also be a priority.
Ease of Deployment and Customer Service: HPE Ezmeral Data Fabric excels in adaptable deployment options and enterprise support, ideal for customization. Cloudera Data Platform offers streamlined deployment and robust support, focusing on seamless integration with existing systems.
Pricing and ROI: HPE Ezmeral Data Fabric is known for competitive initial costs and long-term ROI in complex deployments. Cloudera Data Platform, though pricier, delivers superior ROI due to thorough integrations and advanced analytics 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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