Amobee DMP and Cloudera Data Platform compete in data management and analytics. Cloudera Data Platform tends to have the upper hand due to its comprehensive feature set, which users find justifies its cost, despite Amobee DMP having more favorable feedback on pricing and support.
Features: Amobee DMP offers audience segmentation, real-time analytics, and tools tailored for digital marketers. Cloudera Data Platform provides robust data processing, machine learning capabilities, and high scalability supporting broader enterprise needs.
Ease of Deployment and Customer Service:Amobee DMP has a streamlined deployment process with responsive support. Cloudera Data Platform requires a more complex setup needing technical expertise but offers extensive support channels aimed at IT teams.
Pricing and ROI: Amobee DMP provides a cost-effective entry with quicker ROI for marketing initiatives. Cloudera Data Platform requires a higher initial investment that can result in substantial long-term gains for data-intensive operations.
When you put audience first, results follow. Data management is the heart of an effective audience-first strategy. Amobee DMP (formerly Turn DMP) delivers the kind of data that’s vital in knowing your customers intimately and understanding the true value of your efforts to engage with them.
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.
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