Amazon DataZone and Cloudera Data Platform are competitors in the data management solutions category. Cloudera Data Platform has the upper hand due to its extensive feature set and multi-cloud support.
Features: Amazon DataZone integrates seamlessly with AWS services and offers robust security controls, appealing to cloud-centric enterprises. Cloudera Data Platform provides comprehensive analytics capabilities, flexibility, and is tailored for multi-cloud environments, making it suitable for organizations with complex data management needs. Its extensive features make it a versatile choice.
Ease of Deployment and Customer Service: Amazon DataZone benefits from easy deployment within AWS environments, supported by responsive customer service. In contrast, Cloudera Data Platform, while requiring more effort to set up due to its complexity, supports flexible deployment across diverse environments, providing organizations with high versatility.
Pricing and ROI: Amazon DataZone offers an affordable pay-as-you-go model with a favorable ROI for AWS users. Cloudera Data Platform involves higher initial costs but these are justified by its robust feature set and potential long-term ROI, making it a compelling option for data-driven enterprises seeking extensive infrastructure options.
| Product | Market Share (%) |
|---|---|
| Cloudera Data Platform | 8.6% |
| Amazon DataZone | 2.7% |
| Other | 88.7% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 7 |
| Large Enterprise | 26 |
Amazon DataZone is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on premises, and third-party sources.
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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