Palantir Foundry and Cloudera Data Platform compete in the data management and analytics space. Palantir Foundry has an upper hand in ease of use and seamless data integration, whereas Cloudera Data Platform excels in scalability and secure enterprise deployment.
Features: Palantir Foundry excels with its powerful data integration, dynamic analytical tools, and intuitive data visualization capabilities. On the other hand, Cloudera Data Platform offers comprehensive data lifecycle management, high scalability, and robust security features, catering to extensive data governance and large enterprises.
Room for Improvement: Palantir Foundry could improve in areas such as reducing the initial setup costs and increasing flexibility for offline experimentation. Cloudera Data Platform may benefit from a simplified deployment process, enhanced user interface for easier administration, and better integration of open-source components for faster innovation and feature updates.
Ease of Deployment and Customer Service: Palantir Foundry is known for its straightforward deployment and dedicated customer support, facilitating rapid adoption. Cloudera Data Platform provides extensive documentation and support but involves a more complex deployment due to its advanced features and customization options.
Pricing and ROI: Palantir Foundry, while having a higher initial setup cost, delivers strong operational efficiency and ROI. Cloudera Data Platform offers more flexible pricing models, potentially reducing entry costs and providing long-term value through scalability and advanced functionalities for big data solutions.
| Product | Market Share (%) |
|---|---|
| Palantir Foundry | 25.2% |
| Cloudera Data Platform | 6.2% |
| Other | 68.6% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 6 |
| Large Enterprise | 23 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 5 |
| 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.
Palantir Foundry is an enterprise data management platform offering comprehensive tooling for working with big data. Because it is an operating system made for modern enterprises, it is highly available and a continuously updated platform.
Palantir Foundry is a fully managed SaaS platform that spans from cloud hosting and data integration to flexible analytics, visualization, model-building, operational decision-making, and decision capture. It equips technical and non-technical users to make data-driven operational decisions.
Palantir Foundry includes tools to integrate data of any scale, format, or structure, and also has granular, flexible access controls for individual datasets. In addition, it has an open, modular architecture with multiple RESTful APIs, it has native applications for developing machine learning and artificial intelligence, it provides sophisticated data science applications for users of all technical abilities, and much more.
Palantir Foundry Features
The most valuable Palantir Foundry features include:
Security, flexibility, interoperability, easy deployment, built-in role classification, purpose-based access controls, interoperable architecture, model integration, AI modeling tools, ontology, custom workflows, team-specific applications, self-serve analytics, lineage system, operational application building, 200+ data connectors, data versioning, change management framework, sand decision orchestration, and custom dashboard and report building tools.
With Palantir Foundry You Can:
Palantir Foundry Benefits
Some of the many Palantir Foundry benefits include:
Reviews from Real Users
PeerSpot users like Palantir Foundry because it has many advantages:
“It is user-friendly, good automation, and allows you to do a better job of data governance.” - Associate, Inhouse Consulting at a pharma/biotech company
“Works seamlessly with good end-to-end capabilities and the capability to scale.” - Wallace H., Sr. Director at a tech services company
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