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.
| Product | Market Share (%) |
|---|---|
| Cloudera Data Platform | 6.6% |
| Palantir Foundry | 19.0% |
| Informatica Intelligent Data Management Cloud (IDMC) | 13.1% |
| Other | 61.3% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Management Platforms (DMP) | Dec 30, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Dec 30, 2025 | Download |
| Comparison | Cloudera Data Platform vs Palantir Foundry | Dec 30, 2025 | Download |
| Comparison | Cloudera Data Platform vs Informatica Intelligent Data Management Cloud (IDMC) | Dec 30, 2025 | Download |
| Comparison | Cloudera Data Platform vs Denodo | Dec 30, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | 13.1% | 92% | 214 interviewsAdd to research |
| Databricks | 4.1 | N/A | 96% | 91 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 5 |
| Large Enterprise | 22 |
| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 18 |
| Large Enterprise | 42 |
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.
| Author info | Rating | Review Summary |
|---|---|---|
| Data architect at SentientAI, Karachi | 3.0 | I've used Cloudera Data Platform for managing large-scale ETL and big data processes, finding tools like Hue, Spark, and Impala valuable, though frequent reliability issues and platform complexity reduce its usability compared to simpler cloud alternatives. |
| Data engineer at a tech vendor with 10,001+ employees | 4.0 | I've used Cloudera Data Platform for nearly a decade to manage large, unstructured healthcare data; it's user-friendly, scalable, and stable, though it could improve cloud integration and training for integrators to enhance adoption. |
| Cloud Data Administrator at a financial services firm with 10,001+ employees | 3.0 | I've used Cloudera Data Platform mainly for analytics and AI; it's stable, scalable, and integrates well, but lacks innovation in machine learning. Ranger integration is a standout, though Databricks is more advanced for AI use cases. |
| Cloud data platform Admin at a financial services firm with 10,001+ employees | 3.0 | I've used Cloudera Data Platform for data analytics and AI workloads; it's scalable, cost-effective, and reduces manual effort, but it lacks AI innovation updates and would benefit from improved support and communication channels. |
| ML Engineer - Director at a financial services firm with 10,001+ employees | 3.5 | I've used Cloudera Data Platform for 10 years to process large data volumes, appreciating its Spark and HDFS capabilities, though cloud component complexity, scalability, and some security bugs need improvement. Overall, I rate it seven out of ten. |
| Senior Architect at a comms service provider with 1,001-5,000 employees | 3.5 | We utilize Cloudera Data Platform for data science and data discovery, leveraging distributed computing and Hadoop storage for improved data management. However, upgrading services and implementing lakehouse capabilities remain challenges, prompting us to consider a Kubernetes-based solution. |
| Data Platform Specialist at Lutech | 4.0 | I've used Cloudera Data Platform to manage and optimize data pipelines across hybrid environments, benefiting from its scalability, governance, and integration features, though improvements in UI responsiveness and integration speed could enhance large-scale deployments. |
| Principal Consultant Data Analytics at a outsourcing company with 5,001-10,000 employees | 4.5 | I've used Cloudera Data Platform daily for five years as an admin in a Telco firm; it's stable, fast, secure, and great for big data, though I wish it handled small files better without relying on Ozone. |
