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.
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Management Platforms (DMP) | Sep 13, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Sep 13, 2025 | Download |
| Comparison | Cloudera Data Platform vs Palantir Foundry | Sep 13, 2025 | Download |
| Comparison | Cloudera Data Platform vs Informatica Intelligent Data Management Cloud (IDMC) | Sep 13, 2025 | Download |
| Comparison | Cloudera Data Platform vs Cohesity Data Cloud | Sep 13, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | 14.1% | 93% | 186 interviewsAdd to research |
| Palantir Foundry | 3.9 | 25.9% | 88% | 17 interviewsAdd to research |
Cloudera Data Platform's primary use cases include data science activities, storage, and processing. Users utilize it for data management, ingestion, analytics, and machine learning. They employ it to manage big data, run data pipelines, and offload ETL processes. It serves industries like hospitality, oil & gas, finance, and healthcare, handling large volumes of data for analytics. Cloudera functions as a sandbox for data discovery and supports both on-premise and private cloud settings.
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 7 |
| Large Enterprise | 25 |
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 |
|---|---|---|
| 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 Architect at ubl | 3.5 | I use Cloudera Data Platform primarily for offloading ETL processes as it's more cost-effective than solutions like Teradata or Oracle. It supports basic reporting and real-time functions, but I wish it had more capabilities like Azure and Databricks. |
| Sr Manager at a transportation company with 10,001+ employees | 4.5 | <p>We utilize Hortonworks Data Platform across various sectors such as oil & gas, finance, and healthcare, processing 186 TB daily. Its strengths include distributed computing and security, but it struggles with cloud storage integration with platforms like Azure and AWS.</p> |
| Head of technical and projects at BI Dynamics Pty Ltd | 4.0 | I use Hortonworks Data Platform for data management, ingestion, and analytics. While its features are valuable, I find the user community limited, with scarce user experience discussions. More resources could simplify product deployment and enhance its usability. |
| Senior Cloud Storage Engineer at Comcast Business | 4.0 | We use Hortonworks Data Platform for operational analytics alongside GPFS. While Hortonworks handles all upgrades and patches, the solution is costly, and improvements in pricing would be beneficial. It's currently our main platform without considering alternatives. |
| Vice President -Product Management at Paytm | 3.5 | No summary available |
| Data Science and Data Engineering Leader | Senior Principal Data Scientist at a healthcare company with 10,001+ employees | 4.0 | No summary available |
| Manager at a tech services company with 201-500 employees | 4.0 | No summary available |
