Qubole Data Services and Cloudera Data Platform are competing in the cloud data management market. While Qubole stands out with its competitive pricing, Cloudera is preferred for its robust features and perceived value.
Features: Qubole offers auto-scaling capabilities, simplified data processing, and efficient resource management. Cloudera provides comprehensive data security, governance tools, and seamless integration with existing ecosystems.
Ease of Deployment and Customer Service: Qubole is known for straightforward deployment and responsive customer service, making it easy for new adopters. Cloudera may require more intensive setup due to its extensive features but offers detailed support options for those who need it.
Pricing and ROI: Qubole is noted for competitive setup costs, providing good ROI for small to medium enterprises. Cloudera might need a higher initial investment but offers compelling long-term ROI for larger businesses requiring tailored solutions.
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.
A self-managing and self-optimizing data platform. Constantly analyzes and learns about your big data platform’s usage through combination of heuristics and machine learning.
Provides actionable Alerts, Insights and Recommendations (AIR) to optimize reliability, performance and costs.
Automatically enacts policies through a number of Cloud Agents to eliminate the need for repetitive manual actions
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