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Cloudera Data Platform Reviews

Vendor: Cloudera
3.9 out of 5
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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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Cloudera Data Platform is the #4 ranked solution in top Data Management Platforms and #10 ranked solution in top Cloud Master Data Management (MDM) Solutions solutions. PeerSpot users give Cloudera Data Platform an average rating of 7.8 out of 10. Cloudera Data Platform is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Cloudera Data Platform vs Informatica Intelligent Data Management Cloud (IDMC). Cloudera Data Platform is popular among the small business segment, accounting for 45% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a performing arts, accounting for 12% of all views.
Buyer's Guide
Cloudera Data Platform
October 2025
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Cloudera Data Platform mindshare

Product category:
Data Management Platforms (DMP)
As of October 2025, the mindshare of Cloudera Data Platform in the Data Management Platforms (DMP) category stands at 6.2%, according to calculations based on PeerSpot user engagement data.
Data Management Platforms (DMP) Market Share Distribution
ProductMarket Share (%)
Cloudera Data Platform6.2%
Palantir Foundry25.2%
Informatica Intelligent Data Management Cloud (IDMC)14.1%
Other54.5%
Data Management Platforms (DMP)

PeerResearch reports based on Cloudera Data Platform reviews

TypeTitleDate
CategoryData Management Platforms (DMP)Oct 13, 2025Download
ProductReviews, tips, and advice from real usersOct 13, 2025Download
ComparisonCloudera Data Platform vs Palantir FoundryOct 13, 2025Download
ComparisonCloudera Data Platform vs Informatica Intelligent Data Management Cloud (IDMC)Oct 13, 2025Download
ComparisonCloudera Data Platform vs Cohesity Data CloudOct 13, 2025Download
Suggested products
TitleRatingMindshareRecommending
Informatica Intelligent Data Management Cloud (IDMC)4.014.1%93%185 interviewsAdd to research
Palantir Foundry3.925.2%88%17 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Cloudera Data Platform offers valuable features like a user-friendly Ambari interface, seamless scalability, distributed storage with HDFS, and processing power with Spark. It enables efficient data management, supports AI tools, offloads warehouse data, and integrates easily with Ranger for granular access control. The platform is stable, has a straightforward setup, and excels in handling large data volumes. Its open-source nature and open-data capabilities attract a broad community. Users appreciate its reliability and flexible configuration options.
  • "Cloudera Data Platform has positively impacted my organization by eliminating challenges we faced with CDH, which had not been supported for a cloud journey; in contrast, CDP allows for easy, mostly automated scalability where I can schedule job workflows, fine-tune system resource metrics, and add nodes with just a click."
  • "The best features Cloudera Data Platform offers are the processing power with Spark and the distributed data storage, HDFS, which helps us handle massive volumes of data."
  • "Integration with other tools works well for us and we successfully scaled the solution after two to three years without any issues."

Room for Improvement

Cloudera Data Platform requires improvements in multi-tenancy for HDFS, a better UI, and enhanced usability for Apache Storm. Security features like attribute-level encryption need enhancement and there should be more automation for deployments. Challenges exist in governance, support for containers, and integration with cloud storage. Stability issues persist in high availability and backup processes. Additionally, enhancing machine learning support and reducing complexity for cloud component usage is necessary, along with improving cost-effectiveness and community support.
  • "I have not seen enough innovation in Cloudera Data Platform, particularly in support for machine learning."
  • "Cloudera Data Platform can be improved by addressing the feasibility of using it in the cloud; there are some complexities around the components used in cloud by Cloudera Data Platform that are not really convenient."
  • "The initial setup may take several hours or days, depending on the challenges faced during installation. It's not always a smooth process due to potential complexities."

ROI

While some users are still in the POC phase and not fully utilizing Cloudera Data Platform to calculate their ROI, others report a significant 300% return. Each project varies, with differing customer expectations. Hadoop offers long-term infrastructure benefits, making it difficult to pinpoint a straightforward ROI. Notable improvements in operational effectiveness, especially when comparing on-premises with cloud options, are highlighted by some organizations. Cost per TB remains an attractive factor for many pursuing Hadoop.

Pricing

Enterprise users of Cloudera Data Platform report that its pricing is complex, involving costs per node, processor, core, terabyte, and drive. The solution is seen as affordable compared to alternatives like Oracle, especially for large-scale data management and analytics. Users appreciate the open-source nature of Hadoop within Cloudera, paying mainly for additional features. Licensing encourages vertical scaling, though some opt for professional services for deployment. Negotiating longer-term licenses can yield discounts.
  • "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 utilized for data science activities, big data management, and analytics across various industries such as healthcare, finance, and hospitality. Users leverage it for ETL offloading, operational analytics, and as a sandbox for data discovery. It supports data pipelines, AI, machine learning models, and handles large data volumes. It serves as a cost-effective alternative for data storage and processing compared to traditional data warehouses like Teradata or Oracle.

Service and Support

Cloudera Data Platform's technical assistance varies; some find it helpful and responsive, while others rate it average, lacking in timely responses. Community resources are beneficial for those without paid support. Documentation is useful but incomplete for complex needs. Customer relations are praised for prompt and helpful interactions. Some users find direct engagement with engineers valuable. Satisfaction levels differ with paid services receiving positive feedback, yet overall experiences vary from excellent to inadequate.

Deployment

Many found Cloudera Data Platform's initial setup straightforward with Ambari, requiring tuning for best results. Complexity arose from security configuration and parameter adjustments. Experienced teams benefited from training and support, noting challenges on non-cloud platforms. Deploying on cloud platforms proved easier. Time required varied with technical knowledge and setup size. Learning curve existed for beginners, yet those with prior experience completed setup efficiently, achieving scalability and automation benefits.

Scalability

Cloudera Data Platform is praised for its scalability, with many users experiencing smooth scaling across their systems, especially on the hardware front. Despite occasional challenges during distribution upgrades, support often resolves these issues. Some shift preferences due to specific Cloudera constraints, while others highlight successful scaling minus downtime. The scalability earns high ratings, though some suggest enhancements. The platform effectively integrates other tools, facilitating seamless expansion to meet future demands.

Stability

Cloudera Data Platform is largely stable with certain challenges. Stability hinges on correct configuration, especially with HBase. Most users report no major issues, though some experience occasional bugs and hardware-related downtime. Connectivity issues occur but self-resolve. Mature technology has improved over time, achieving ratings from seven to eight out of ten. While its functionality is strong, users anticipate bug fixes for security enhancements. Suitable for diverse use cases, it surpasses similar platforms in many aspects.
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.

Review data by company size

By reviewers
Company SizeCount
Small Business5
Midsize Enterprise4
Large Enterprise16
By reviewers
By visitors reading reviews
Company SizeCount
Small Business30
Midsize Enterprise9
Large Enterprise27
By visitors reading reviews

Top industries

By visitors reading reviews
Performing Arts
12%
Financial Services Firm
9%
Transportation Company
8%
Manufacturing Company
8%
Comms Service Provider
6%
Retailer
6%
University
6%
Healthcare Company
5%
Insurance Company
5%
Non Tech Company
5%
Consumer Goods Company
5%
Real Estate/Law Firm
5%
Recreational Facilities/Services Company
5%
Educational Organization
3%
Computer Software Company
3%
Government
2%
Hospitality Company
2%
Renewables & Environment Company
2%
Legal Firm
2%
Logistics Company
2%
Construction Company
2%
Energy/Utilities Company
2%
Outsourcing Company
2%

Compare Cloudera Data Platform with alternative products

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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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Product Categories

Product Categories
Data Management Platforms (DMP)
Cloud Master Data Management (MDM) Solutions

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Cloudera Data Platform Reviews Summary
Author infoRatingReview Summary
Cloud Data Administrator at a financial services firm with 10,001+ employees3.0I'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.
ML Engineer - Director at a financial services firm with 10,001+ employees3.5I'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 employees3.5We 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 ubl3.5I 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+ employees4.5<p>We utilize Hortonworks Data Platform across various sectors such as oil &amp; 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>
Vice President -Product Management at Paytm3.5No summary available
Head of technical and projects at BI Dynamics Pty Ltd4.0I 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 Business4.0We 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.