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Cloudera Distribution for Hadoop vs Vertica comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Cloudera Distribution for H...
Average Rating
8.0
Number of Reviews
49
Ranking in other categories
Hadoop (2nd), NoSQL Databases (7th)
Vertica
Average Rating
8.2
Number of Reviews
86
Ranking in other categories
Data Warehouse (4th), Cloud Data Warehouse (7th)
 

Featured Reviews

Shahan Rehman - PeerSpot reviewer
Mar 21, 2024
Can host multiple technologies and help businesses with their AI initiatives
The ease or difficulty in setting up the product depends on the environment of the customer where the tool is deployed. If a banking, industrial, or retail sector firm is taken into concentration, depending on how big of a database is maintained, including the applications that are to be hosted, the deployment process can range from a simple to a very complex phase, depending on the architecture. For Cloudera Distribution for Hadoop, one has to go through the usual deployment process, like for any software product. You have to have different environments before going into production, like pre-production environments, test and dev environments. You install and configure all the components in the test environment and then test them on the pre-production environment. Once UAT is done, you move them to the production environment. In general, it's a critical product deployed in a company.
T Venkatesh - PeerSpot reviewer
Aug 15, 2024
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're now able to store large volumes of data through Cloudera Distribution for Hadoop. We're able to push large volumes of data to the platform, and that used to be a challenge, especially when storing a terabyte of information. This is the area where Cloudera Distribution for Hadoop improved the organization."
"The solution's most valuable feature is the enterprise data platform."
"Cloudera is a very manageable solution with good support."
"CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools."
"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
"The search function is the most valuable aspect of the solution."
"The file system is a valuable feature."
"The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on."
"I enjoy the cybersecurity and backup features."
"Its projections and encoding are excellent tools for tuning large volumes."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"Eighty percent of the ETL operations have improved since implementing this solution."
 

Cons

"The procedure for operations could be simplified."
"The tool doesn't support reporting, and relational databases are still the major source of reporting data. Apache Iceberg will be launched soon within the Cloudera cluster for analytical purposes. The Cloudera Machine Learning aspect could be tuned and enhanced to enable us to host some predictive analytics machine learning and AI use cases."
"Cloudera's support is extremely bad and cannot be relied on."
"The governance aspect of the solution should be improved."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"The solution is not fit for on-premise distributions."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"The performance of some analytics engines provided by Cloudera is not that good."
"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."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"Very bad support, I would rate it two out of 10."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"We faced some challenges when trying to use the temporary tables feature."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
 

Pricing and Cost Advice

"Cloudera requires a license to use."
"The solution is expensive."
"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."
"The solution is fairly expensive."
"It is an expensive product."
"The pricing must be improved."
"The price could be better for the product."
"I wouldn't recommend CDH to others because of its high cost."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"It's an expensive product"
"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."
"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"Vertica is an expensive tool."
"It is fast to purchase through the AWS Marketplace."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
15%
Educational Organization
10%
Manufacturing Company
8%
Computer Software Company
18%
Financial Services Firm
18%
Manufacturing Company
8%
University
5%
 

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 tool is expensive. Overall, it's not a cheap software tool, and that is why only large enterprises who are mature enough and have an architecture that is complex enough opt for Cloudera, as its...
What needs improvement with Cloudera Distribution for Hadoop?
The tool doesn't support reporting, and relational databases are still the major source of reporting data. Apache Iceberg will be launched soon within the Cloudera cluster for analytical purposes. ...
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
 

Learn More

 

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: October 2024.
814,649 professionals have used our research since 2012.