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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
Reviews Sentiment
6.4
Number of Reviews
49
Ranking in other categories
NoSQL Databases (8th)
IBM Spectrum Computing
Ranking in Hadoop
7th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
8
Ranking in other categories
Cloud Management (24th)
 

Mindshare comparison

As of December 2024, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 28.2%, up from 23.1% compared to the previous year. The mindshare of IBM Spectrum Computing is 2.0%, down from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop
 

Featured Reviews

Shahan Rehman - PeerSpot reviewer
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
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

"It is helpful to gather and process data."
"The tool can be deployed using different container technologies, which makes it very scalable."
"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."
"We also really like the Cloudera community. You can have any question and will have your answer within a few hours."
"The main advantage is the storage is less expensive."
"The product provides better data processing features than other tools."
"I don't see any performance issues."
"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."
"Easy to operate and use."
"We are satisfied with the technical support, we have no issues."
"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"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."
"The most valuable feature is the backup capability."
"This solution is working for both VTL and tape."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
 

Cons

"It could be faster and more user-friendly."
"The solution is not fit for on-premise distributions."
"The areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case."
"The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions."
"There are multiple bugs when we update."
"The procedure for operations could be simplified."
"This is a very expensive solution."
"The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it."
"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."
"This solution is no longer managing tapes correctly."
"Lack of sufficient documentation, particularly in Spanish."
"IBM's sales and support structure can be challenging."
"We have not been able to use deduplication."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"We'd like to see some AI model training for machine learning."
 

Pricing and Cost Advice

"The tool is not expensive."
"When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."
"The price could be better for the product."
"Cloudera requires a license to use."
"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"I wouldn't recommend CDH to others because of its high cost."
"I believe we pay for a three-year license."
"It is an expensive product."
"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
11%
Manufacturing Company
8%
Financial Services Firm
40%
Computer Software Company
9%
Retailer
7%
Insurance Company
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: December 2024.
824,067 professionals have used our research since 2012.