Cloudera Distribution for Hadoop vs Hortonworks Data Platform vs IBM Spectrum Computing comparison

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Cloudera Logo
2,959 views|2,278 comparisons
91% willing to recommend
Cloudera Logo
627 views|364 comparisons
89% willing to recommend
IBM Logo
215 views|192 comparisons
40% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Cloudera Distribution for Hadoop, Hortonworks Data Platform, 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.
To learn more, read our detailed Hadoop Report (Updated: April 2024).
768,415 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution's most valuable feature is the enterprise data platform.""The file system is a valuable feature.""The most valuable feature is Impala, the querying engine, which is very fast.""The product as a whole is good.""It is helpful to gather and process data.""The most valuable feature is Kubernetes.""We're now able to store large volumes of data through Cloudera Distribution for Hadoop. We're able to push large volumes of data to the platform, and that used to be a challenge, especially when storing a terabyte of information. This is the area where Cloudera Distribution for Hadoop improved the organization.""The scalability of Cloudera Distribution for Hadoop is excellent."

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"The data platform is pretty neat. The workflow is also really good.""Ambari Web UI: user-friendly.""The scalability is the key reason why we are on this platform.""The product offers a fairly easy setup process.""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.""Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request.""It is a scalable platform.""Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."

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"Easy to operate and use.""The most valuable feature is the backup capability.""We are satisfied with the technical support, we have no issues.""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.""This solution is working for both VTL and tape."

More IBM Spectrum Computing Pros →

Cons
"The competitors provide better functionalities.""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 tool's ability to be deployed on a cloud model is an area of concern where improvements are required.""This is a very expensive solution.""Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved.""There are multiple bugs when we update.""It could be faster and more user-friendly.""We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there is a lot of things that need to improve."

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"It's at end of life and no longer will there be improvements.""Deleting any service requires a lot of clean up, unlike Cloudera.""I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors.""More information could be there to simplify the process of running the product.""It would also be nice if there were less coding involved.""I would like to see more support for containers such as Docker and OpenShift.""The version control of the software is also an issue.""Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases."

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"This solution is no longer managing tapes correctly.""Lack of sufficient documentation, particularly in Spanish.""SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing.""We have not been able to use deduplication.""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."

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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 →

  • "It is priced well and it is affordable"
  • "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."
  • More Hortonworks Data Platform Pricing and Cost Advice →

  • "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 »
    Top Answer:Distributed computing, secure containerization, and governance capabilities are the most valuable features.
    Top Answer:I haven't done a price analysis specifically for HDP. However, when it was first introduced as Hadoop 2.0, there were a… more »
    Top Answer:Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage… more »
    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
    2,959
    Comparisons
    2,278
    Reviews
    14
    Average Words per Review
    409
    Rating
    8.1
    6th
    out of 22 in Hadoop
    Views
    627
    Comparisons
    364
    Reviews
    5
    Average Words per Review
    354
    Rating
    8.0
    7th
    out of 22 in Hadoop
    Views
    215
    Comparisons
    192
    Reviews
    1
    Average Words per Review
    240
    Rating
    9.0
    Comparisons
    Also Known As
    Hortonworks, HDP
    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.
    Hortonworks is a leading innovator in the industry, creating, distributing and supporting enterprise-ready open data platforms and modern data applications. Our mission is to manage the world's data. We have a single-minded focus on driving innovation in open source communities such as Apache Hadoop, NiFi, and Spark. We along with our 1600+ partners provide the expertise, training and services that allow our customers to unlock transformational value for their organizations across any line of business. Our connected data platforms powers modern data applications that deliver actionable intelligence from all data: data-in-motion and data-at-rest. We are Powering the Future of Data.

    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
    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
    Top Industries
    REVIEWERS
    Financial Services Firm25%
    Computer Software Company21%
    Insurance Company14%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company16%
    Educational Organization9%
    Manufacturing Company8%
    REVIEWERS
    Comms Service Provider30%
    Manufacturing Company10%
    Government10%
    Financial Services Firm10%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm15%
    Government6%
    Outsourcing Company6%
    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 Enterprise74%
    REVIEWERS
    Small Business25%
    Midsize Enterprise18%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise13%
    Large Enterprise61%
    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.
    768,415 professionals have used our research since 2012.