Cloudera Distribution for Hadoop vs HPE Ezmeral Data Fabric vs IBM InfoSphere BigInsights [EOL] comparison

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Executive Summary

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

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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
"The product provides better data processing features than other tools.""The most valuable feature is Kubernetes.""The scalability of Cloudera Distribution for Hadoop is excellent.""I don't see any performance issues.""Very good end-to-end security features.""We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that.""We also really like the Cloudera community. You can have any question and will have your answer within a few hours.""CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools."

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"My customers find the product cheaper compared to other solutions. The previous solution that we used did not have unified analytics like the runtime or the analog.""The model creation was very interesting, especially with the libraries provided by the platform.""I like the administration part.""It is a stable solution...It is a scalable solution.""HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."

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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 →

Cons
"While the deployed product is generally functional, there are instances where it presents difficulties.""The Cloudera training has deteriorated significantly.""Currently, we are using many other tools such as Spark and Blade Job to improve the performance.""This is a very expensive solution.""The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better.""The initial setup of Cloudera is difficult.""The price of this solution could be lowered.""It could be faster and more user-friendly."

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"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful.""The product is not user-friendly.""The deployment could be faster. I want more support for the data lake in the next release.""HPE Ezmeral Data Fabric is not compatible with third-party tools.""Upgrading Ezmeral to a new version is a pain. They're trying to make the solution more container-friendly, so I think they're going in the right direction. The only problem we've had in the past was the upgrades. The process isn't smooth due to how the Red Hat operating system upgrades currently work."

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

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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 →

  • "HPE is flexible with you if you are an existing customer. They offer different models that might be beneficial for your organization. It all depends on how you negotiate."
  • "The tool's price is cheap and based on a usage basis. The solution's licensing costs are yearly and there are no extra costs."
  • "There is a need for my company to pay for the licensing costs of the solution."
  • More HPE Ezmeral Data Fabric 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:It is a stable solution...It is a scalable solution.
    Top Answer:There are some drawbacks in HPE Ezmeral Data Fabric when it comes to the interoperability part. HPE Ezmeral Data Fabric… more »
    Top Answer:The main purpose of HPE Ezmeral Data Fabric for me is that it acts as a database. In my company, we store our data with… more »
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    Ranking
    2nd
    out of 22 in Hadoop
    Views
    2,959
    Comparisons
    2,278
    Reviews
    14
    Average Words per Review
    409
    Rating
    8.1
    5th
    out of 22 in Hadoop
    Views
    1,653
    Comparisons
    1,034
    Reviews
    4
    Average Words per Review
    550
    Rating
    7.8
    Unranked
    In Hadoop
    Comparisons
    Also Known As
    MapR, MapR Data Platform
    InfoSphere BigInsights
    Learn More
    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.

    Forward-leaning companies win market share because they leverage data more effectively than their competitors. Unlock the potential of your data assets with HPE Ezmeral Data Fabric (formerly MapR Data Platform). Empower your data science, analytics, and business teams by simplifying data management on a globally distributed scale. All with enterprise-grade reliability, security, and performance.

    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.
    Sample Customers
    37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
    Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
    Coherent Path Inc., Optibus, Delhaize America, Diyotta Inc., Ernst & Young, Teikoku Databank Ltd., NCSU, Vestas
    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%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company17%
    Manufacturing Company8%
    Comms Service Provider7%
    No Data Available
    Company Size
    REVIEWERS
    Small Business28%
    Midsize Enterprise17%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise74%
    REVIEWERS
    Small Business36%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise11%
    Large Enterprise65%
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    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.