Cloudera Distribution for Hadoop vs IBM InfoSphere BigInsights [EOL] vs IBM Spectrum Computing comparison

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Executive Summary

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

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"We also really like the Cloudera community. You can have any question and will have your answer within a few hours.""I don't see any performance issues.""Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis.""The data science aspect of the solution is valuable.""The solution is reliable and stable, it fits our requirements.""The solution is stable.""The most valuable feature is Kubernetes.""In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."

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"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."

More IBM InfoSphere BigInsights [EOL] Pros →

"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.""Spectrum Computing's best features are its speed, robustness, and data processing and analysis.""Easy to operate and use."

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Cons
"The governance aspect of the solution should be improved.""The price of this solution could be lowered.""The solution is not fit for on-premise distributions.""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.""The tool's ability to be deployed on a cloud model is an area of concern where improvements are required.""It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform.""The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better.""While the deployed product is generally functional, there are instances where it presents difficulties."

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

More IBM InfoSphere BigInsights [EOL] Cons →

"Lack of sufficient documentation, particularly in Spanish.""SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing.""This solution is no longer managing tapes correctly.""We'd like to see some AI model training for machine learning.""Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud.""We have not been able to use deduplication."

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Pricing and Cost Advice
  • "When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."
  • "The price could be better for the product."
  • "I haven't bought a license for this solution. I'm only using the Apache license version."
  • "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."
  • "The price is very high. The solution is expensive."
  • "The solution is expensive."
  • More Cloudera Distribution for Hadoop Pricing and Cost Advice →

    Information Not Available
  • "This solution is expensive."
  • "Spectrum Computing is one of the most expensive products on the market."
  • More IBM Spectrum Computing Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The tool can be deployed using different container technologies, which makes it very scalable.
    Top Answer:The tool is expensive. Overall, it's not a cheap software tool, and that is why only large enterprises who are mature… more »
    Top Answer:The tool's ability to be deployed on a cloud model is an area of concern where improvements are required. The tool works… more »
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    Top Answer:This solution is too expensive for a lot of our customers.
    Top Answer:The biggest problem is the lack of documentation in general, and documentation in Spanish, in particular.
    Ranking
    2nd
    out of 22 in Hadoop
    Views
    2,881
    Comparisons
    2,224
    Reviews
    14
    Average Words per Review
    443
    Rating
    8.1
    Unranked
    In Hadoop
    7th
    out of 22 in Hadoop
    Views
    214
    Comparisons
    190
    Reviews
    1
    Average Words per Review
    240
    Rating
    9.0
    Comparisons
    Also Known As
    InfoSphere BigInsights
    IBM Platform Computing
    Learn More
    IBM
    Video Not Available
    Overview
    Cloudera Distribution for Hadoop is the world's most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH is 100% Apache-licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.
    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 Spectrum Computing uses intelligent workload and policy-driven resource management to optimize resources across the data center, on premises and in the cloud. Now up to 150X faster and scalable to over 160,000 cores, IBM provides you with the latest advances in software-defined infrastructure to help you unleash the power of your distributed mission-critical high performance computing (HPC), analytics and big data applications as well as a new generation open source frameworks such as Hadoop and Spark.

    Sample Customers
    37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
    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
    Top Industries
    REVIEWERS
    Financial Services Firm25%
    Computer Software Company21%
    Insurance Company14%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company16%
    Educational Organization8%
    Manufacturing Company8%
    No Data Available
    VISITORS READING REVIEWS
    Comms Service Provider31%
    Media Company16%
    Financial Services Firm11%
    Computer Software Company10%
    Company Size
    REVIEWERS
    Small Business28%
    Midsize Enterprise17%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise18%
    Large Enterprise68%
    Buyer's Guide
    Hadoop
    April 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    769,599 professionals have used our research since 2012.