Reltio Cloud and Cloudera Data Platform are competing data management solutions. While Reltio Cloud is strong in data integration and quality, Cloudera Data Platform has the upper hand with its comprehensive analytics capabilities.
Features: Reltio Cloud offers robust data integration, quality management, and real-time processing, emphasizing seamless integration and data governance. Cloudera Data Platform excels with powerful analytics, machine learning integration, and scalability, making it ideal for extensive data processing tasks.
Room for Improvement: Reltio Cloud could benefit from enhanced analytics capabilities and expanded scalability options. It might also need improvements in customization flexibility. Cloudera Data Platform may need easier deployment processes for less technical users, better cost management, and improved integration flexibility for diverse environments.
Ease of Deployment and Customer Service: Cloudera Data Platform offers a flexible deployment model suitable for hybrid and multi-cloud environments, focusing on extensive analytics support. Reltio Cloud provides a simpler deployment process with a focus on integration and governance, noted for its superior customer support and ease of use.
Pricing and ROI: Reltio Cloud is cost-effective with lower setup costs and quicker ROI due to efficient data integration and quality features. Cloudera Data Platform, while potentially more expensive initially, offers long-term ROI through its advanced analytics capabilities and strategic investment potential in data analytics.
| Product | Market Share (%) |
|---|---|
| Reltio Cloud | 13.3% |
| Cloudera Data Platform | 1.7% |
| Other | 85.0% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 7 |
| Large Enterprise | 26 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
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.
Reltio Cloud excels in Master Data Management (MDM), offering real-time data synchronization and a unified data view across diverse sources. Praised for its scalable architecture and user-friendly interface, it enhances operational efficiency and compliance management, making it ideal for handling large volumes of data and improving organizational productivity.
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