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Cloudera Distribution for Hadoop vs Vertica comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Cloudera Distribution for H...
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
50
Ranking in other categories
Hadoop (2nd), NoSQL Databases (8th)
Vertica
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Data Warehouse (5th), Cloud Data Warehouse (10th)
 

Featured Reviews

Rok Dolinsek - PeerSpot reviewer
Enables on-premise implementation with powerful data processing capabilities
This is the only solution that is possible to install on-premise. Cloudera provides a hybrid solution that combines compute on cloud or on-premises. It includes all machine learning algorithms in the Spark machine learning library. All functionalities needed for a big data platform and ETL are on the platform, eliminating the need for other tools. It is scalable, ready for vertical scaling, and very powerful, offering numerous functionalities and configurations for generative AI.
T Venkatesh - PeerSpot reviewer
Processes query faster through multiple systems simultaneously, but it could support different data types
We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that."
"Customer service and support were able to fix whatever the issue was."
"It is helpful to gather and process data."
"The most valuable feature is Kubernetes."
"The tool's most interesting features are the distributed file system and unstructured data processing capability. Because we have a lot of unstructured data, like XML and social media logs, these features make it more valuable than the usual data warehousing solutions."
"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."
"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
"The product as a whole is good."
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"Allows us to take volumes and process them at a very high speed."
"The most valuable feature is Vertica's performance and the ease of using the database."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. ​"
"Partition and join back to node are easy and simple for DBAs."
"It has improved my organization's functionality and performance."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
 

Cons

"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there is a lot of things that need to improve."
"The dashboard could be improved."
"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."
"Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment."
"It could be faster and more user-friendly."
"While the deployed product is generally functional, there are instances where it presents difficulties."
"The initial setup of Cloudera is difficult."
"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."
"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"Suboptimal projection design causes queries to not scale linearly."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
"Support is an area where it could get better."
"The integration of this solution with ODI could be improved."
"Documentation has become much better, but can always use some improvement."
 

Pricing and Cost Advice

"Cloudera requires a license to use."
"The tool is expensive...For the SMB market or customers whose environments are not that complex and do not have multiple systems running, Cloudera might not be a good option."
"When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."
"The solution is expensive."
"It is an expensive product."
"I believe we pay for a three-year license."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"I wouldn't recommend CDH to others because of its high cost."
"From a cost perspective, the software is less than most of its competitors."
"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."
"The price of Vertica is less expensive than some competitors, such as Teradata."
"Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."
"Vertica is an expensive tool."
"I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."
"It is fast to purchase through the AWS Marketplace."
"The solution is free and we pay for the storage."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Computer Software Company
15%
Educational Organization
12%
Manufacturing Company
7%
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
8%
University
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Cloudera Distribution for Hadoop?
The tool can be deployed using different container technologies, which makes it very scalable.
What is your experience regarding pricing and costs for Cloudera Distribution for Hadoop?
The price for Cloudera is average, yet it is very good compared to other solutions. It can be deployed on-premises, unlike competitors' cloud-only solutions.
What needs improvement with Cloudera Distribution for Hadoop?
It is quite complicated to configure and install. Integrating the platform into an information system is always a challenge, especially when starting with on-premise implementation. Integrating wit...
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.
What needs improvement with Vertica?
The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.
 

Also Known As

No data available
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Cloudera Distribution for Hadoop vs. Vertica and other solutions. Updated: March 2025.
842,296 professionals have used our research since 2012.