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Cloudera Data Platform Reviews

Vendor: Cloudera
4.0 out of 5
1,189 followers
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What is Cloudera Data Platform?

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.

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Buyer's Guide
Data Management Platforms (DMP)
March 2025
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Helped 845,040 peers since 2012

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Key learnings from peers

Valuable Features

Cloudera Data Platform's most valuable features include its comprehensive Hadoop stack with components like HDFS, Spark, and Kafka; user-friendly Ambari interface for managing clusters; excellent scalability; open-source flexibility; ease of deployment; and robust security features with Ranger. It offers seamless integration with tools such as Hive, enabling interactive data analytics and efficient management. The platform's ability to handle massive data volumes and provide extensive community support adds significant value to users.
  • "Distributed computing, secure containerization, and governance capabilities are the most valuable features."
  • "It is a scalable platform."
  • "The upgrades and patches must come from Hortonworks."

Room for Improvement

Cloudera Data Platform could benefit from easier multi-tenant HDFS implementation and improved usability for Apache Storm. It needs better user interface and enhanced stability. Performance issues with Hive and governance tools remain. There are calls for simpler updates, enhanced disaster recovery, increased security features, and seamless cloud storage integration. Adoption ease and deployment clarity are sought after, alongside the need for an expanded user community. Rolling upgrades and more support for containers like Docker are also areas flagged for improvement.
  • "Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS."
  • "More information could be there to simplify the process of running the product."
  • "The cost of the solution is high and there is room for improvement."

ROI

Many are in the POC phase with Cloudera Data Platform, resulting in no current ROI yet. Each project varies and the infrastructure's long-term nature makes a simple ROI calculation complex. Some have different expectations and can't provide a clear ROI while not fully utilizing Cloudera Data Platform. Others find the cost per TB appealing and cite a 300% ROI, highlighting the financial motivation behind adopting Hadoop.

Pricing

Enterprise buyers find Cloudera Data Platform offers flexible pricing, with options ranging from free community editions to paid services for support and professional deployment. The cost efficiency stands out compared to alternatives like Oracle. Licensing operates on a per-node basis, encouraging vertical scaling. Users appreciate the affordability and freedom to use open-source Hadoop components without additional charges, while Cloudera’s proprietary solutions add value without being prohibitively expensive.
  • "Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results."
  • "It is priced well and it is affordable"

Popular Use Cases

Cloudera Data Platform is used for data science activities, big data management, and analytics. It handles significant data ingestion, storage, and processing across domains like hospitality, oil & gas, finance, and healthcare. Users leverage it to offload historical data, create machine learning models, and execute them. It facilitates management through a unified interface and is integrated with platforms like Hortonworks and IBM POWER CPUs. Operational analytics often rely on it for processing large data volumes.

Service and Support

Cloudera Data Platform has varied customer service experiences. Users report a strong community resource, good documentation, and helpful engineers. However, professional service levels range from low to exceptional. Paid support is often praised for promptness and resolving issues efficiently. Some mention delays in technical support responses. Reviews cite good detailed assistance, though complex security needs may lack comprehensive documentation. Transitioning users discuss collaboration but have not fully integrated technical support yet.

Deployment

Initial setup experiences vary. Some find it straightforward, especially with tools like Ambari, while others face complexities due to configuration demands or lack of expertise. Experienced administrators report easier processes. Familiarity with Linux and cluster networking aids in smooth deployment. For some, cloud platforms simplify the task, though Docker enhances it further. Paid support or training is recommended for stability. Deployment time ranges from 45 minutes to a week, depending on project size and expertise.

Scalability

Cloudera Data Platform is praised for its scalability, with many organizations encountering no issues. While there are some technical problems, they are often resolved with support. The platform's scalability is a key attraction, although there are concerns with upgrading and compression support. With over a thousand servers managed, scalability remains a significant strength, despite occasional hardware limitations. Both Cloudera and Hortonworks are viewed as scalable, though hardware adjustments may boost capacity.

Stability

Cloudera Data Platform's stability is generally positive when configured properly. Some mention issues with HBase and storing data in different formats. Most users report no significant problems or downtime, attributing occasional instability to external factors like hardware or updates. Many find it reliable, with stability noted to be improving, while a few encounter bugs. Companies appreciate its maturity and find it satisfactory, with some highlighting it as a stable production system.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Data Management Platforms (DMP) Buyer's Guide for additional reliable information.

Learn more about Cloudera Data Platform

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?
  • Comprehensive Hadoop Stack: Integrates HDFS, Hive, Spark for large-scale data operations.
  • User-Friendly Interface: Managed through Ambari, simplifying configuration.
  • Seamless Scalability: Efficiently handles growing data demands with ease.
  • Open-Source Flexibility: Offers a customizable platform for specific needs.
  • Security Tools: Includes Ranger for advanced data protection measures.
  • Data Science Workbench: Provides a robust platform for data modeling.
  • Cluster Management: Efficient deployment and governance capabilities.
  • Containerization Support: Facilitates modern data processing environments.
What benefits and ROI should users expect?
  • Data Storage Flexibility: Handles diverse data types, enhancing storage solutions.
  • Advanced Security: Features tailored for data protection and compliance.
  • Scalability: Cost-efficient management of expanding data requirements.
  • Operational Efficiency: Streamlined processes through effective tools.
  • Data Science Integration: Supports building and deploying models efficiently.
  • Industry Versatility: Applicable across finance, healthcare, and more.

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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