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Cloudera Data Platform Reviews

Vendor: Cloudera
4.0 out of 5
1,183 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
Cloudera Data Platform
April 2025
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PeerResearch reports based on Cloudera Data Platform reviews

TypeTitleDate
CategoryData Management Platforms (DMP)Apr 24, 2025Download
ProductReviews, tips, and advice from real usersApr 24, 2025Download
ComparisonCloudera Data Platform vs Informatica Intelligent Data Management Cloud (IDMC)Apr 24, 2025Download
ComparisonCloudera Data Platform vs Palantir FoundryApr 24, 2025Download
 
 
Key learnings from peers

Valuable Features

Cloudera Data Platform's most valued features include its all-encompassing Hadoop stack, notably Ambari's user interface for easy cluster management. HDFS for storage, Hive for data querying, and Spark for processing are highlighted. Its open-source nature, seamless scalability, and ease of deployment further enhance its appeal. Ambari facilitates cluster monitoring while supporting distributed computing and governance. Users appreciate its stable setup, flexibility, and the ability to handle massive data efficiently.
  • "Cloudera Data Platform has significantly improved our data management."
  • "Distributed computing, secure containerization, and governance capabilities are the most valuable features."
  • "It is a scalable platform."

Room for Improvement

Cloudera Data Platform requires easier multi-tenant HDFS implementation improved UI and increased security features. Users desire better Hive performance enhanced governance and easier deployment on multiple nodes. The need for stable high availability cost efficiency and streamlined updates is emphasized. There are calls for better integration with cloud storage and a more intuitive user interface. Users also seek enhanced disaster recovery features and simplified upgrades of services like Spark and Hive.
  • "For on-premise use, I would not recommend Cloudera Data Platform as it is expensive and complicated to upgrade."
  • "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."

ROI

Many users indicate a lack of measurable return on investment due to different phases of implementation, such as being in a proof of concept stage or not fully utilizing Cloudera Data Platform. For some, the return justifies the expenditure because of cost efficiency. One entity noted a substantial 300% return. Expectations vary widely among different clients, making it challenging to quantify a uniform return on investment for everyone.

Pricing

Cloudera Data Platform's pricing is perceived as complex and resource-intensive, with a per-node licensing model that encourages vertical scaling despite the platform's horizontal scalability capabilities. Users appreciate that while the core Hadoop is open-source and free, additional Cloudera services require payment. Compared to Oracle's expensive options, Cloudera remains more affordable for handling large data volumes. Although some lament the removal of free tiers, many suggest investing in professional services for setup support.
  • "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

Organizations primarily use Cloudera Data Platform for data science activities, data storage, and processing, as well as managing and analyzing extensive datasets. They leverage it for big data management, machine learning model execution, and operational analytics. Various fields like oil & gas, finance, and healthcare utilize it for data ingestion and analytics, processing significant data volumes daily. Cloudera Data Platform acts as a sandbox for departments to conduct data discovery with multiple running data pipelines.

Service and Support

Feedback on Cloudera Data Platform's customer service and support varies. Some find it satisfactory with prompt responses and helpful assistance, while others rate it low with slow responses. Many users rely on community resources and documentation for answers. Paid support is generally seen as beneficial, and interactions with engineers are noted as extremely helpful. Technical assistance on Java job development is appreciated, although complex security needs documentation is incomplete. Cloudera's triage process can be overwhelmed by ticket volume.

Deployment

Many found Cloudera Data Platform's initial setup easy, especially with Ambari, though configuring parameters and security components was complex. A learning curve existed for those unfamiliar with Hadoop. Clarity on necessary steps and good administrators facilitated the process. Training and experience improved efficiency. Setup varied based on platform, being simpler on cloud versus non-cloud environments. Deployment time ranged from minutes to days, depending on resources and project size.

Scalability

Scalability of Cloudera Data Platform is impressive, with minimal issues reported. Most users appreciate its ability to handle large data volumes and concurrent users efficiently. Some highlight occasional glitches during version upgrades, resolved with support. Hardware enhancements may be needed as use cases grow. While some users prefer Hortonworks for specific features, many attest to Cloudera Data Platform’s robust scalability, rating it highly. Both Cloudera and Hortonworks are recognized for scalability, but preferences vary based on specific needs.

Stability

Cloudera Data Platform is generally stable, though some challenges exist, particularly with configuring HBase. Many report no issues, while others note occasional problems often linked to hardware or developer-related code. Stability has improved over time, and the platform is often used in production without significant downtime. It's reliable in most aspects, but some experience instabilities when dealing with specific data formats. Ratings for stability generally fall between seven and eight out of ten.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Cloudera Data Platform 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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