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Hortonworks Data Platform vs IBM Spectrum Computing comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Hortonworks Data Platform
Ranking in Hadoop
6th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
25
Ranking in other categories
Open Source Databases (15th), Data Management Platforms (DMP) (9th)
IBM Spectrum Computing
Ranking in Hadoop
7th
Average Rating
8.2
Number of Reviews
8
Ranking in other categories
Cloud Management (23rd)
 

Featured Reviews

Prashant  Singh - PeerSpot reviewer
A good technology with an easy setup but is at end of life
The solution is fairly simple to set up. It's not too complex or difficult. If you know the solution, it's easy. However, there is a learning curve. If you don't know anything about it, it can be more complex. You can typically deploy it within a week. We have five or six people capable of handling a deployment.
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

"The product offers a fairly easy setup process."
"We use it for data science activities."
"Hortonworks should not be expensive at all to those looking into using it."
"Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."
"The upgrades and patches must come from Hortonworks."
"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."
"The scalability is the key reason why we are on this platform."
"It is a scalable platform."
"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"
"This solution is working for both VTL and tape."
"We are satisfied with the technical support, we have no issues."
"The most valuable feature is the backup capability."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"Easy to operate and use."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"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

"The version control of the software is also an issue."
"It would also be nice if there were less coding involved."
"The cost of the solution is high and there is room for improvement."
"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases."
"Security and workload management need improvement."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS."
"I would like to see more support for containers such as Docker and OpenShift."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."
"This solution is no longer managing tapes correctly."
"We have not been able to use deduplication."
"Lack of sufficient documentation, particularly in Spanish."
"IBM's sales and support structure can be challenging."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"We'd like to see some AI model training for machine learning."
 

Pricing and Cost Advice

"Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results."
"It is priced well and it is affordable"
"Spectrum Computing is one of the most expensive products on the market."
"This solution is expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
21%
Financial Services Firm
14%
University
9%
Government
9%
Financial Services Firm
42%
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 Hortonworks Data Platform?
Distributed computing, secure containerization, and governance capabilities are the most valuable features.
What is your experience regarding pricing and costs for Hortonworks Data Platform?
I haven't done a price analysis specifically for HDP. However, when it was first introduced as Hadoop 2.0, there were a few use cases where the price was quite high. It was particularly expensive f...
What needs improvement with Hortonworks Data Platform?
Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS. These platforms offer competitive storage solu...
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

Hortonworks, HDP
IBM Platform Computing
 

Learn More

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Overview

 

Sample Customers

Mayo Clinic, Symantec, Progressive Insurance, Noble Energy, Cardinal Health, Rogers, Mercy, Neustar, TRUECar, T-Mobile
London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
Find out what your peers are saying about Hortonworks Data Platform vs. IBM Spectrum Computing and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.