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Cloudera Data Platform pros and cons

Vendor: Cloudera

3.8 out of 5

36 reviews
85% willing to recommend

Pros & Cons summary

Cloudera Data Platform enhances data management and scalability across environments with powerful processing via Spark and distributed storage through HDFS, providing centralized governance and easy scalability. Despite its cost-saving benefits and robust integration capabilities, challenges exist with deletion services, performance issues with Hive, costly upgrades, and limited support for AI workloads. Frequent downtime and complex configurations pose reliability concerns, making it a complex choice for buyers in industries like banking.

Buyer's Guide

Get pricing advice, tips, use cases and valuable features from real users of this product.

Prominent pros & cons

PROS

Cloudera Data Platform offers strong security and governance features that simplify user permission and access control management.

The scalability and processing power with Spark and distributed data storage allow for handling massive data volumes effectively.

Cloudera Data Platform reduces operational overhead by providing a unified control plane for managing workloads across on-premise and cloud environments.

It enables easy integration with other tools and supports a multi-source system by handling structured, semi-structured, and unstructured data types.

Cloudera Data Platform provides cost-saving benefits and a robust capability to handle diverse data types, offering solutions like PDF extraction and speech-to-text conversion for analytics.

CONS

Deleting services requires extensive cleanup, and Hive performance enhancement could challenge traditional databases.

Security, workload management, and support for containers like Docker and OpenShift need improvement.

The cost is high, and feasibility issues with cloud integration remain, particularly with Azure, GCP, and AWS.

Complexities arise during initial setup and configuration management, leading to frequent downtime and reliability concerns.

Cloudera Data Platform lags behind open-source Apache implementations and must improve data migration from on-premises to cloud.

Cloudera Data Platform Pros review quotes

BigData(QA & RnD) with 51-200 employees

Sep 24, 2017

Ambari Web UI: user-friendly.

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Works at a comms service provider with 10,001+ employees

Sep 24, 2017

Ranger for security; with Ranger we can manager user’s permissions/access controls very easily.

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LM

Solution Architect at Teradata Corporation

Feb 3, 2018

We use it for data science activities.

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Cloudera Data Platform

Free Report: Cloudera Data Platform Reviews and More

Learn what your peers think about Cloudera Data Platform. Get advice and tips from experienced pros sharing their opinions. Updated: December 2025.

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Oguzhan Herkiloglu

Senior HPC and BigData Architect at Bitnet

Jul 10, 2019

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.

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Senior IT Officer- Head of Administration, System Administration Division for Unix and Linux Servers at a financial services firm with 10,001+ employees

Jul 28, 2019

Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request.

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reviewer1426866

Data Science and Data Engineering Leader | Senior Principal Data Scientist at a healthcare company with 10,001+ employees

Oct 6, 2020

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

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WH

Manager at a tech services company with 201-500 employees

Nov 24, 2022

The data platform is pretty neat. The workflow is also really good.

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Vice President -Product Management at Paytm

May 19, 2022

The product offers a fairly easy setup process.

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TO

Senior Cloud Storage Engineer at Comcast Business

Jul 19, 2023

The upgrades and patches must come from Hortonworks.

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Leslie Mavonyani

Head of technical and projects at BI Dynamics Pty Ltd

Aug 31, 2023

It is a scalable platform.

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Show 10 more reviews (out of 21)

Cloudera Data Platform Cons review quotes

BigData(QA & RnD) with 51-200 employees

Sep 24, 2017

Deleting any service requires a lot of clean up, unlike Cloudera.

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Works at a comms service provider with 10,001+ employees

Sep 24, 2017

Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases.

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LM

Solution Architect at Teradata Corporation

Feb 3, 2018

Security and workload management need improvement.

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Cloudera Data Platform

Free Report: Cloudera Data Platform Reviews and More

Learn what your peers think about Cloudera Data Platform. Get advice and tips from experienced pros sharing their opinions. Updated: December 2025.

879,425 professionals have used our research since 2012.

Oguzhan Herkiloglu

Senior HPC and BigData Architect at Bitnet

Jul 10, 2019

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

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Senior IT Officer- Head of Administration, System Administration Division for Unix and Linux Servers at a financial services firm with 10,001+ employees

Jul 28, 2019

I would like to see more support for containers such as Docker and OpenShift.

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reviewer1426866

Data Science and Data Engineering Leader | Senior Principal Data Scientist at a healthcare company with 10,001+ employees

Oct 6, 2020

The version control of the software is also an issue.

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WH

Manager at a tech services company with 201-500 employees

Nov 24, 2022

It would also be nice if there were less coding involved.

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Vice President -Product Management at Paytm

May 19, 2022

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

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TO

Senior Cloud Storage Engineer at Comcast Business

Jul 19, 2023

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

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Leslie Mavonyani

Head of technical and projects at BI Dynamics Pty Ltd

Aug 31, 2023

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

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Show 10 more reviews (out of 21)

Product Categories

Product Categories

Data Management Platforms (DMP)

Cloud Master Data Management (MDM)

AI Data Analysis

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Product Categories

Product Categories

Data Management Platforms (DMP)

Cloud Master Data Management (MDM)

AI Data Analysis

Popular Comparisons

Popular Comparisons

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

Databricks vs Cloudera Data Platform

Palantir Foundry vs Cloudera Data Platform

See all alternatives

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