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IBM InfoSphere BigInsights [EOL] Reviews

Vendor: IBM
3.8 out of 5
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What is IBM InfoSphere BigInsights [EOL]?

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.
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Hadoop
March 2026
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Featured IBM InfoSphere BigInsights [EOL] reviews

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Key learnings from peers
Last updated Mar 26, 2026

Valuable Features

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

Room for Improvement

  • "The UI was not interactive: Responses used to be very slow and hang up at times."
  • "Unfortunately the stability of the platform was an issue."
  • "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."
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
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Learn more about IBM InfoSphere BigInsights [EOL]

IBM InfoSphere BigInsights [EOL] was previously known as InfoSphere BigInsights.

IBM InfoSphere BigInsights [EOL] customers

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

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IBM InfoSphere BigInsights [EOL] Reviews Summary
Author infoRatingReview Summary
BigData Consultant at a tech services company with 10,001+ employees3.0We used InfoSphere Streams for a real-time response system, enabling proactive maintenance and fault identification. However, the UI was slow, we faced data reading issues, and API documentation needed improvement.
Business Unit technical Lead at a tech services company with 1,001-5,000 employees4.0I value BigInsights' ANSI-compliant BIQSQL, which helps move tables from Netezza, improving efficiency. However, I've faced issues with Fluid Query and BigInsights Applications for data movement, slow GPFS recovery, and support responsiveness.
Chief Data Architect at Lucid Technologies & SolutionsI found IBM's Text analytics module for social media insightful. However, during my evaluation, Bluemix platform instability and documentation issues were significant. Despite this, I believe it has good potential for prototyping.
Senior IT Consultant at a marketing services firm with 51-200 employees4.5I achieved rapid deployment of an enterprise big data solution, yielding a 40% ROI, despite initial setup complexity and stability issues. This product offers strong text analytics and excellent customer service. I highly recommend it.
BigData Senior Consultant (Telco) / Project Manager at a tech services company with 1,001-5,000 employees4.0I found Watson good for text analysis, with easy setup. My main issues were the lack of Russian language support and the licensing model, which made free alternatives more attractive for production.
Data Scientist with 1,001-5,000 employees3.5I used BigInsights for six months to enrich data sources, valuing its JSqsh integration and automated UAT suite for processing detailed transactional data. I'd appreciate faster execution for simple queries, but encountered no deployment, stability, or scalability issues.
Architect at a tech services company with 51-200 employees4.0I found BigSQL and Fluid Query valuable for extending analytics, despite complex BigR deployment and initial setup compared to Cloudera. I appreciate the great IBM customer support, but wish installation processes were improved.