Profisee and Cloudera Data Platform are competing in data management and analytics. Profisee is preferred for cost-effectiveness and support, while Cloudera is acknowledged for robust features at a higher price.
Features: Profisee excels in master data management, focusing on data governance, quality enhancement, and data consolidation. Cloudera Data Platform offers a comprehensive toolset for big data processing, supports various data sources, and provides flexible integration and extensive analytics capabilities.
Room for Improvement: Profisee could enhance its scalability, expand its big data capabilities, and improve integration options with third-party tools. Cloudera could work on simplifying its deployment process, reducing costs for smaller enterprises, and enhancing user-friendliness for non-technical users.
Ease of Deployment and Customer Service: Profisee provides an efficient deployment model and is praised for straightforward customer service. Cloudera has a more complex deployment due to its wide-ranging capabilities but offers extensive documentation and knowledgeable support.
Pricing and ROI: Profisee offers accessible pricing with a quick ROI due to lower upfront costs. Cloudera's setup costs are higher, but its comprehensive functionalities and scalability provide substantial long-term returns, especially for large-scale data operations.
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.
The Profisee Platform is a full featured enterprise master data management solution designed to provide the lowest total cost of ownership of any competitive solution, without sacrificing on functionality across all major components of an MDM platform. The Profisee Platform was designed from the ground up as a multi-domain platform, to model and manage virtually any master data domain or reference data set. With a focus on the business, Profisee provides the first MDM solution that is truly approachable and affordable for business data stewards.
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