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Cloudera Distribution for Hadoop vs IBM Spectrum Computing comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Cloudera Distribution for H...
Ranking in Hadoop
2nd
Average Rating
8.0
Number of Reviews
49
Ranking in other categories
NoSQL Databases (7th)
IBM Spectrum Computing
Ranking in Hadoop
7th
Average Rating
8.2
Number of Reviews
8
Ranking in other categories
Cloud Management (23rd)
 

Mindshare comparison

As of November 2024, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 27.1%, up from 22.7% compared to the previous year. The mindshare of IBM Spectrum Computing is 2.0%, down from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop
 

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.
Avra Jyoti Ghosh - PeerSpot reviewer
Aug 25, 2022
One of the best tools in the data management and services area
I mainly used Spectrum Computing for data management, governance, quality, and ETL activity Spectrum Computing's best features are its speed, robustness, and data processing and analysis.  Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the…

Quotes from Members

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

Pros

"We had a data warehouse before all the data. We can process a lot more data structures."
"The most valuable feature is Impala, the querying engine, which is very fast."
"It has the best proxy, security, and support features compared to open-source products."
"Cloudera is a very manageable solution with good support."
"Cloudera, as a whole, is designed to provide organizations with solutions for big data."
"I don't see any performance issues."
"The solution is stable."
"It is helpful to gather and process data."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"The most valuable feature is the backup capability."
"Easy to operate and use."
"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"
"We are satisfied with the technical support, we have no issues."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"This solution is working for both VTL and tape."
"The comparison was challenging, but the IBM Spectrum Scale offered a balanced solution. Our engineers rated itsanalytics capabilities equally high as Pure Storage. For workload management, Spectrum Computing provided effective solutions that met our needs. Workload management is part of a complete solution that uses different tools. There were the cloud and HPC parts; within HPC, there were parts like liquid cooling, simple computing, storage, and orchestration. The orchestration team handled the workload management."
 

Cons

"It could be faster and more user-friendly."
"The dashboard could be improved."
"The pricing needs to improve."
"They should focus on upgrading their technical capabilities in the market."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"The competitors provide better functionalities."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"The solution is not fit for on-premise distributions."
"IBM's sales and support structure can be challenging."
"This solution is no longer managing tapes correctly."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."
"We'd like to see some AI model training for machine learning."
"Lack of sufficient documentation, particularly in Spanish."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"We have not been able to use deduplication."
 

Pricing and Cost Advice

"The solution is fairly expensive."
"The tool is not expensive."
"I believe we pay for a three-year license."
"The pricing must be improved."
"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."
"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"The product’s price depends from project to project."
"Cloudera requires a license to use."
"This solution is expensive."
"Spectrum Computing is one of the most expensive products on the market."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
15%
Educational Organization
10%
Manufacturing Company
8%
Financial Services Firm
40%
Computer Software Company
10%
Retailer
9%
Educational Organization
6%
 

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 needs improvement with IBM Spectrum Computing?
IBM's sales and support structure can be challenging. To work on an IBM deal, you often need to involve multiple specialists, each knowledgeable about only part of the product, rather than having a...
 

Also Known As

No data available
IBM Platform Computing
 

Learn More

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Overview

 

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
Find out what your peers are saying about Cloudera Distribution for Hadoop vs. IBM Spectrum Computing and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.