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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Hadoop

    Score7.5 out of 10
    N/AHadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A

    IBM Cloud Functions

    Score6.5 out of 10
    N/AIBM Cloud Functions is a PaaS platform based on Apache OpenWhisk. With it, developers write code (“actions”) that respond to external events. Actions are hosted, executed, and scaled on demand based on the number of events coming in. No servers or infrastructure to provision and manage.

    $0

    per second of execution

    Pricing
    HadoopIBM Cloud Functions
    Editions & Modules
    No answers on this topic
    Basic Cloud Functions Rate
    $0.00017
    per second of execution
    API Gateway Rate
    Free
    Offerings
    Pricing Offerings
    HadoopIBM Cloud Functions
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    HadoopIBM Cloud Functions
    Considered Both Products
    Apache
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    7 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    7 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    7 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    6 Answers
    No answers on this topic
    Implementation went as expected
    80%
    Implementation went as expected
    4 Answers
    No answers on this topic
    Best Alternatives
    HadoopIBM Cloud Functions
    Small Businesses
    No answers on this topic
    AWS Lambda
    Score8.3 out of 10
    Medium-sized Companies
    Cloudera Manager (no longer available standalone)
    Score9.9 out of 10
    AWS Lambda
    Score8.3 out of 10
    Enterprises
    Amazon EMR
    Score9.1 out of 10
    AWS Lambda
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HadoopIBM Cloud Functions
    Likelihood to Recommend
    8.0
    (37 ratings)
    3.0
    (7 ratings)
    Likelihood to Renew
    9.6
    (8 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (6 ratings)
    -
    (0 ratings)
    Performance
    8.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    7.5
    (3 ratings)
    -
    (0 ratings)
    Online Training
    6.1
    (2 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    7.7
    (10 ratings)
    -
    (0 ratings)
    Data Sources
    8.7
    (10 ratings)
    -
    (0 ratings)
    User Testimonials
    HadoopIBM Cloud Functions
    Likelihood to Recommend
    Apache
    Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
    Incentivized
    Read full review
    IBM
    IBM Cloud Functions [is] not the worse product on the IBM cloud. I decided to write this review as I thought it would be balanced. I would still use functions to set up a serverless architecture where execution time is pretty quick and the code is relatively simple. I wouldn't use IBM Cloud Functions for async calls obviously, as costs could be higher. The functions documentation is lacking in terms of CI/CD, and there are unexplainable errors occurring - like the network connection that I mentioned. So I wouldn't just rely on IBM Cloud Functions too much for the entire system, but make sure it's diversified.
    Read full review
    Pros
    Apache
    • Handles large amounts of unstructured data well, for business level purposes
    • Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here.
    • Decent for large ETL pipelines and logging free-for-alls because of this, also.
    Incentivized
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    IBM
    • Great substitute for a simple API calls to run non-complicated code.
    • Easy way to run Python/Java/Javascript to get something done.
    • File validation.
    Incentivized
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    Cons
    Apache
    • Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates
    • Not for small data sets
    • Data security needs to be ramped up
    • Failure in NameNode has no replication which takes a lot of time to recover
    Incentivized
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    IBM
    • Billing can be a hassle, not the most responsive customer service/support team
    • Handles & executes most functionalities, but other platforms offer more scalability if you're seeking consistent and stable growth
    Incentivized
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    Likelihood to Renew
    Apache
    Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
    Read full review
    IBM
    No answers on this topic
    Usability
    Apache
    As Hadoop enterprise licensed version is quite fine tuned and easy to use makes it good choice for Hadoop administrators. It’s scalability and integration with Kerberos is good option for authentication and authorisation. installation can be improved. logging can be improved so that it become easier for debugging purposes. parallel processing of data is achieved easily.
    Incentivized
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    IBM
    No answers on this topic
    Support Rating
    Apache
    It's a great value for what you pay, and most Data Base Administrators (DBAs) can walk in and use it without substantial training. I tend to dabble on the analyst side, so querying the data I need feels like it can take forever, especially on higher traffic days like Monday.
    Incentivized
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    IBM
    No answers on this topic
    Online Training
    Apache
    Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
    Read full review
    IBM
    No answers on this topic
    Alternatives Considered
    Apache
    Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.
    Incentivized
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    IBM
    • ICF is a lightweight service and does not require runtime configurations
    • Scalable on demand and hence there is no need to pay for runtime costs
    Incentivized
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    Return on Investment
    Apache
    • There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
    • Hadoop is quite interesting due to its new and improved features plus innovative functions.
    Incentivized
    Read full review
    IBM
    • It directly affected our expenses since we do not need to deploy and maintain a set of separate applications.
    • It allowed us to pay for only the amount of time cloud functions run.
    • It saved on maintenance and monitoring of the applications it replaced.
    Incentivized
    Read full review
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