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Cloudera Data Platform Reviews

Vendor: Cloudera
4.0 out of 5
1,160 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.

Get the Cloudera Data Platform Buyer's Guide and find out what your peers are saying about Cloudera Data Platform, Informatica Intelligent Data Management Cloud (IDMC) and more!
Cloudera Data Platform is the #7 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 8.0 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).
Buyer's Guide
Cloudera Data Platform
May 2025
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PeerResearch reports based on Cloudera Data Platform reviews

TypeTitleDate
CategoryData Management Platforms (DMP)May 19, 2025Download
ProductReviews, tips, and advice from real usersMay 19, 2025Download
ComparisonCloudera Data Platform vs Palantir FoundryMay 19, 2025Download
ComparisonCloudera Data Platform vs Informatica Intelligent Data Management Cloud (IDMC)May 19, 2025Download
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Informatica Intelligent Data Management Cloud (IDMC)4.016.3%93%183 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Cloudera Data Platform offers comprehensive Hadoop features including a powerful Ambari interface, seamless scalability, and open-source flexibility. It supports massive data handling with easy deployment and management. HDFS, Hive, and Spark enhance data processing and storage efficiency, while Cloudera Data Science Workbench aids modeling and analysis. Its distributed computing and containerization, in conjunction with AI tools, offload data effectively from warehouses and support ETL processes.
  • "Integration with other tools works well for us and we successfully scaled the solution after two to three years without any issues."
  • "Cloudera Data Platform has significantly improved our data management."
  • "Distributed computing, secure containerization, and governance capabilities are the most valuable features."

Room for Improvement

Cloudera Data Platform requires enhancements in governance, usability, and user interface. Multi-tenancy, security integration, and data update features need refinement. Stability and rolling upgrades should be addressed. Performance improvements are essential for Hadoop to compete with traditional databases. Deployment, version control, and integration with cloud storage require attention. Users express challenges with disaster recovery, Hive integration, and backup. Cost remains high, and the platform should offer features like other data management tools.
  • "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."
  • "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."

ROI

Several companies have not yet seen ROI from Cloudera Data Platform, with some still in the POC phase and others not fully implementing the platform. Despite varying expectations and usage levels, some acknowledge the potential advantage, citing Hadoop's cost per terabyte as a key factor for investment. While significant outcomes remain elusive for some, others report a promising return of 300%. Overall, ROI experiences with Cloudera Data Platform differ significantly among users.

Pricing

Cloudera Data Platform users describe the pricing as complex, yet affordable compared to alternatives like Oracle's RDBMS. The platform offers open-source components, but licensing is required for additional features, priced per node, potentially incentivizing vertical scaling. Support and professional services are optional but beneficial, especially for deployment. Costs may have increased from previous versions, but factors like processors, cores, and storage impact final expenses. Some organizations appreciate the flexibility of choosing open-source solutions for certain needs.
  • "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'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.

Service and Support

Cloudera Data Platform's customer service is mixed, receiving both high praise and criticism. Users commend prompt responses and detailed support, though some find it lacking and difficult for complex needs. Documentation and community resources are widely used in place of direct support contact. Paid services are considered good, and users acknowledge helpful interactions with engineers. Technical support receives varying ratings, often seen as responsive, yet sometimes slow.

Deployment

Users found Cloudera Data Platform's initial setup to be both straightforward and complex. Many noted that while basic installation was easy, configuring specific components could be challenging. Experience and technical knowledge greatly affected the ease of setup. Ambari simplified many processes, though security components and parameter tuning remained intricate tasks. Expertise in computer networking or a strong IT team was beneficial. Cloud platforms significantly eased the process, though on-premises installations could be notably difficult.

Scalability

Cloudera Data Platform exhibits excellent scalability with minimal challenges. Many users have encountered no problems extending capabilities and are satisfied with its ability to handle large workloads. Some have faced difficulties when upgrading but found support helpful. Additionally, the platform allows operation on numerous servers simultaneously. Though some have switched to other solutions, they still acknowledge its scalability effectiveness, with some citing hardware considerations. Several users rate its scalability highly, appreciating seamless integration with other tools.

Stability

Cloudera Data Platform demonstrates stability when properly configured, particularly with HBase. Experiences vary, with some experiencing issues while others report reliability. Consistent stability has been noted, though configuration challenges can arise. Hardware support and documentation assist in resolving occasional issues. Stability ratings are generally high, often reaching seven or eight out of ten. While some encounter upgrade issues, many find it performs reliably without crashes or freezes. Comparatively more mature than previous versions, though storage format stability can vary.
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.

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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
Data Management Platforms (DMP)
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Popular Comparisons

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Informatica Intelligent Data Management Cloud (IDMC) vs Cloudera Data Platform
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Cloudera Data Platform reviews

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Sr Manager at a transportation company with 10,001+ employees
Verified user of Cloudera Data Platform
Dec 11, 2023
Good for secure containerization, and governance capabilities

Pros

"Distributed computing, secure containerization, and governance capabilities are the most valuable features."

Cons

"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."

What is our primary use case?

We use it for multiple domains, including oil & gas, finance (Morgan Stanley), and healthcare. We process around 186 TB of data per day for analytics purposes.

Currently, we use it for healthcare domain. 

What is most valuable?

Distributed computing, secure containerization, and governance capabilities are the most valuable features.

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (608 words)
Miodrag-Stanic - PeerSpot user
Senior Architect at a comms service provider with 1,001-5,000 employees
Verified user of Cloudera Data Platform
Apr 15, 2025
Product version discussed: CDP 7.2.7
Distributed computing improves data processing while upgrade complexity needs addressing

Pros

"Cloudera Data Platform has significantly improved our data management."

Cons

"For on-premise use, I would not recommend Cloudera Data Platform as it is expensive and complicated to upgrade."

What is our primary use case?

We heavily use Cloudera Data Platform for data science activities. Various departments in the company utilize it as a sandbox for data discovery. We have multiple data pipelines running on a daily and hourly basis, along with some real-time data pipelines.

What is most valuable?

Cloudera Data Platform has significantly improved our data management. Distributed computing with Spark has enabled many processing types that were not possible before. By using the Hadoop File System for distributed storage, we have 1.5 petabytes of physical storage with 500 terabytes of effective storage due to a replication factor of three.

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (484 words)
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SH
Data Architect at ubl
Verified user of Cloudera Data Platform
May 5, 2025
ETL processes benefit from cost-effective offloading and could see improved deployment capabilities

Pros

"Integration with other tools works well for us and we successfully scaled the solution after two to three years without any issues."

Cons

"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."

What is our primary use case?

The primary usage of Cloudera Data Platform is to offload ETL processes because it's cheaper compared to data warehouse solutions like Teradata or Oracle. Furthermore, basic reporting can be done, and some real-time processes can be managed.

What is most valuable?

The foremost benefit is offloading data from the warehouse to Cloudera Data Platform, which allows for cheaper storage. We use it to push transformations and run ETL processes, leveraging tools like Spark. Cloudera also supports various functionalities, including AI and Gen AI tools. Basic reporting and some real-time functions are manageable on the platform.
*Disclosure: My company has a business relationship with this vendor other than being a customer: Integrator
Read full review (441 words)
Prashant Singh - PeerSpot user
Vice President -Product Management at Paytm
Verified user of Cloudera Data Platform
May 30, 2022
Product version discussed: 2.x
A good technology with an easy setup but is at end of life

Pros

"The product offers a fairly easy setup process. "

Cons

"It's at end of life and no longer will there be improvements. "

What is our primary use case?

We primarily use the solution for data storage and processing.

What is most valuable?

It is one of the better technology in terms of Hadoop.

The product offers a fairly easy setup process. 

It is quite stable.

The scalability is good. 

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (489 words)
PeerSpot user
Data Science and Data Engineering Leader | Senior Principal Data Scientist at a healthcare company with 10,001+ employees
Verified user of Cloudera Data Platform
Oct 9, 2020
A modeling and analysis data platform that is inexpensive and stable

Pros

"The scalability is the key reason why we are on this platform. "

Cons

"The version control of the software is also an issue."

What is our primary use case?

We use Hortonworks as a storage platform and then we create machine learning models and do the execution using Cloudera Data Science Workbench. (Cloudera and Hortonworks merged in January of 2019.)  

What is most valuable?

The most valuable part of this product is what Cloudera Data Science Workbench can do as a whole for modeling and analysis.  

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (543 words)
Oguzhan Herkiloglu - PeerSpot user
Senior HPC and BigData Architect at Bitnet
Verified user of Cloudera Data Platform
Jul 17, 2019
Provides a complete solution and just one user interface that can manage all the packages

Pros

"The Hortonworks solution is so stable. It is working as a production system, without any error, without any downtime. If I have downtime, it is mostly caused by the hardware of the computers."

Cons

"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."

What is our primary use case?

Hortonworks actually provides a complete solution and just one user interface that can manage all the packages. It can monitor all the requirements, all the versions and additionally all the quays and all the hardware-dependent services. What I want is a useful user interface which is the reason why I currently prefer to use Hortonworks.

What is most valuable?

One of the most valuable features is that you can configure your data nodes in the big data. Whatever you want. Normally, for example, if you are testing websites and Hash clouds and other sites, in most of them you must manage more than three or four requirements. For example, you must install each feature, you must compile some additional things, and also you must manage more than three configuration files to enable all the nodes to work together.

In the Hortonworks solution, you just need the service, and you just want to install it once to get started on projects easily. You can just click run and it's already installed and you can create and communicate between your services.

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (589 words)
Leslie Mavonyani - PeerSpot user
Head of technical and projects at BI Dynamics Pty Ltd
Verified user of Cloudera Data Platform
Sep 1, 2023
Helps with data management and has good scalability

Pros

"It is a scalable platform."

Cons

"More information could be there to simplify the process of running the product."

What is our primary use case?

We use Hortonworks Data Platform for data management, significant data ingestion, and analytics.

What needs improvement?

Hortonworks Data Platform has a limited user community. I haven't seen much discussion about user experiences. More information could be there to simplify the process of running the product.

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (244 words)
TO
Senior Cloud Storage Engineer at Comcast Business
Verified user of Cloudera Data Platform
Jul 30, 2023
Upgrades and patching are addressed by the solution, and they offer a sandbox for testing

Pros

"The upgrades and patches must come from Hortonworks."

Cons

"The cost of the solution is high and there is room for improvement."

What is our primary use case?

There are a lot of use cases for the Hortonworks Data Platform. We use it alongside GPFS, so most of the information we use for operational analytics is primarily on the Hortonworks Data Platform.

What is most valuable?

The upgrades and patches must come from Hortonworks. Therefore, if we encounter any problems, they will be responsible for addressing them. This is one of the instances where we have to rely on them for all the upgrades.

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (263 words)