IBM InfoSphere BigInsights [EOL] vs IBM Spectrum Computing comparison

Why PeerSpot?

IBM InfoSphere BigInsights [EOL] and IBM Spectrum Computing are both solutions in the Hadoop category. Additionally, 83% of IBM InfoSphere BigInsights [EOL] users are willing to recommend the solution, compared to 57% of IBM Spectrum Computing users who would recommend it.

IBM InfoSphere BigInsights ...

Read 7 IBM InfoSphere BigInsights [EOL] reviews

83% willing to recommend

IBM Spectrum Computing

Read 9 IBM Spectrum Computing reviews

2,931 Views
733 Comparison Views

57% willing to recommend

IBM InfoSphere BigInsights ...

IBM Spectrum Computing

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Executive Summary

We performed a comparison between IBM InfoSphere BigInsights [EOL] and IBM Spectrum Computing based on real PeerSpot user reviews.

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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

IBM InfoSphere BigInsights ...

Average Rating

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Spectrum Computing

Average Rating

7.8

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Hadoop (7th), Cloud Management (43rd)

Featured Reviews

it_user743022

BigData Consultant at a tech services company with 10,001+ employees

Served our customers better by giving real-time suggestions and proactive maintenance, however the UI was not interactive

* The UI was not interactive: Responses used to be very slow and hang up at times. * The UI was not really helping to track the real-time jobs and its logs. * You can bring in a better UI for job management and health checks. * Developer API documentation needs improvement.

Read full review

OmarIsmail1

Infrastructure Technical Specialist II at Clicks Group

Senior Technical Specialist appreciates intelligent workload management, strong support, and scalability

The best features of IBM Spectrum Computing are common across many of their storage products. The software is solid, meaning that the code is stable. They take business seriously, which is what IBM stands for - International Business Machines. They always maintain a business-oriented approach in their software development. It's not simply clicking through interfaces; in IBM software, they consider their actions, process flows, and workflows around business processes. It requires understanding IBM and their methodology, as the software operates accordingly. I have utilized IBM Spectrum Computing's intelligent workload management feature. We use Insights, which is connected to the cloud. This provides AI capabilities for analyzing the configuration, offering smart recommendations on new code, warning about bugs in current code, and suggesting configuration improvements through its advisor tool. The predictive analytics feature in IBM Spectrum Computing enables optimal software performance through Insights. However, being a storage administrator requires foundational knowledge and understanding beyond these tools. For troubleshooting, it's efficient in spotting bottlenecks, but understanding the terms and metrics is essential as it provides answers that need interpretation.

Read full review

Quotes from Members

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

Pros

"The thing that I have found most valuable in this solution is the BIQSQL implementation which is fully SQL ANSI compliant."

"This helped us to serve our customers better by giving real-time suggestions and proactive maintenance."

"It gives us the option of extending our analytics system."

"Watson is the perfect engine for text analysis for us, but in 2014 it doesn’t support the Russian language."

"This is a very helpful product, with continuous improvements by IBM and a great customer service which enables easy access to valuable information for both Hadoop developers and system administrators."

"It integrates with JSqsh, enabling us to submit long-running exports from the shell."

"InfoSphere Streams was the one core product from the platform in which we were using. We were building a real-time response system and we built it on InfoSphere Streams."

"Definitely a product worth evaluating, esp if you are an IBM shop and if done on Bluemix, it gives a jump start on protoypes/POCs."

"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."

"I have utilized IBM Spectrum Computing's intelligent workload management feature through Insights, which is connected to the cloud."

"Easy to operate and use."

"We are satisfied with the technical support, we have no issues."

"The best features of IBM Spectrum Computing are common across many of their storage products."

"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"

"This solution worked as expected and it is reliable."

"The most valuable feature is the backup capability."

More IBM Spectrum Computing pros

Cons

"For our business customer pricing is very important motivation, so I can advise change licensing policy from “by volume in the cluster” to “number of machines in the cluster”."

"Unfortunately the stability of the platform was an issue."

"The UI was not interactive: Responses used to be very slow and hang up at times."

"I encountered issues with having the appropriate documentation resources, as well as getting the right stability when explored virtualized environments based on Virtualbox and HyperV software."

"I'd like to see faster execution time, especially for simple queries that don't touch on many rows and don't involve many operations (Joins, Unions, Groupbys)."

"Initial setup is rather complex in comparison with Cloudera."

"I have found a lot of issues in Fluid Query and BigInsights Applications to move data in the enterprise version."

"Software sometimes is a little slower. It takes two or three days sometimes."

"We'd like to see some AI model training for machine learning."

"Lack of sufficient documentation, particularly in Spanish."

"This solution is no longer managing tapes correctly."

"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."

"We are not fully satisfied with this product at the moment because we are having issues with reliability."

"We have not been able to use deduplication."

"The deduplication software isn't quite up to speed with the market. While IBM has excellent compression technology, specifically on their FlashCore modules, they lag behind competitors such as NetApp in deduplication capabilities."

More IBM Spectrum Computing cons

Pricing and Cost Advice

Information not available

"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

No data available

Comms Service Provider

13%

Financial Services Firm

12%

Construction Company

11%

Outsourcing Company

11%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	6

Questions from the Community

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What is your experience regarding pricing and costs for IBM Spectrum Computing?

IBM Spectrum Computing consistently offers competitive pricing. When solutioning new implementations, IBM always presents the best solution and price. In a recent comparison with Pure Storage and N...

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What needs improvement with IBM Spectrum Computing?

IBM Spectrum Computing had limitations with remote copy services between head office and disaster recovery sites. In the last year, IBM has improved the code by re-engineering it to policy-based re...

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What is your primary use case for IBM Spectrum Computing?

The typical use case for IBM Spectrum Computing is that it's an all-rounder. It can be used in various scenarios, such as the retailer I work for that has batch processing. It's on-demand when perf...

See all answers

Comparisons

Cloudera Distribution for Hadoop vs IBM InfoSphere BigInsights [EOL]

Compared 55% of the time

Apache Spark vs IBM InfoSphere BigInsights [EOL]

Compared 23% of the time

Amazon EMR vs IBM InfoSphere BigInsights [EOL]

Compared 11% of the time

More IBM InfoSphere BigInsights [EOL] Competitors

VMware Aria Automation vs IBM Spectrum Computing

Compared 9% of the time

Cloudera Distribution for Hadoop vs IBM Spectrum Computing

Compared 8% of the time

HPE Data Fabric vs IBM Spectrum Computing

Compared 7% of the time

Ensim Unify vs IBM Spectrum Computing

Compared 6% of the time

Cloudera Data Platform vs IBM Spectrum Computing

Compared 5% of the time

More IBM Spectrum Computing Competitors

Product Reports

Buyer's Guide

Hadoop

October 2026

Download IBM InfoSphere BigInsights [EOL] product report

Buyer's Guide

Hadoop

October 2026

Download IBM Spectrum Computing product report

Also Known As

InfoSphere BigInsights

IBM Platform Computing

Overview

IBM BigInsights delivers a rich set of advanced analytics capabilities that allows enterprises to analyze massive volumes of structured and unstructured data in its native format. The software combines open source Apache Hadoop with IBM innovations including sophisticated text analytics, IBM BigSheets for data exploration, IBM Big SQL for SQL access to data in Hadoop, and a range of performance, security and administrative features. The result is a cost-effective and user-friendly solution for complex, big data analytics.

IBM

IBM Spectrum Computing offers robust data backup and resource management capabilities, enhancing workload management and analytics for efficient data centers.

IBM Spectrum Computing is renowned for its backup capabilities and policy-driven resource management. It's used to cluster compute resources effectively and manage workloads efficiently. It supports data centers with intelligent workload management and predictive analytics, delivering speed and robustness. The ability to handle both VTL and tape with reliable technical support is a key advantage, although challenges include reliability issues, fragmented support, and compatibility concerns, particularly with Nutanix.

What are IBM Spectrum Computing's key features?

Backup Capability: Ensures secure data storage and disaster recovery.
Policy-Driven Resource Management: Optimizes resource allocation in data centers.
Intelligent Workload Management: Efficient handling of varied workloads.
Predictive Analytics: Offers insights for better decision-making.
Cluster Compute Resources: Effective clustering for increased performance.

What benefits should users consider?

High Performance: Fast and robust data processing capabilities.
Reliable Support: Strong technical assistance.
Security: Provides resilient business-oriented software.
Cost Efficiency: Despite high cost, provides significant value in data management.

IBM Spectrum Computing is implemented primarily for on-premises data backup and storage across industries safeguarding VMware, Hyper-V, and UNIX environments. It supports applications such as batch and on-demand processing, HPC, file servers, databases, ETL activities, Kubernetes, and mainframe operations, ensuring resilience and security.

IBM

Sample Customers

Coherent Path Inc., Optibus, Delhaize America, Diyotta Inc., Ernst & Young, Teikoku Databank Ltd., NCSU, Vestas

London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: October 2026.

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