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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 Analytics Engine

    Score7.1 out of 10
    N/AIBM BigInsights is an analytics and data visualization tool leveraging hadoop.N/A
    Pricing
    HadoopIBM Analytics Engine
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    HadoopIBM Analytics Engine
    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 Analytics Engine
    Considered Both Products
    Apache
    No answer on this topic
    IBM
    Chose IBM Analytics Engine
    • I have been using Azure for my previous analysis, I had a difficult time in understanding the Analytics engine rather IBM provided step by step tutorial for setup.
    • Also turning off a machine was not an option in Azure for some of the services so I had to pay for the service …
    Incentivized
    Chose IBM Analytics Engine
    Our professor has worked with IBM And many major tech companies. He’d recommend us which tools to use. And comparing to Azure, IBM is more convenient to use.
    Incentivized
    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 Analytics Engine
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    Cloudera Manager (no longer available standalone)
    Score9.9 out of 10
    Cloudera Manager (no longer available standalone)
    Score9.9 out of 10
    Enterprises
    Amazon EMR
    Score9.1 out of 10
    Hadoop
    Score7.5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    HadoopIBM Analytics Engine
    Likelihood to Recommend
    8.0
    (37 ratings)
    9.5
    (9 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 Analytics Engine
    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
    • Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
    • But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.
    Incentivized
    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
    Read full review
    IBM
    • Jobs with Spark, Hadoop, or Hive queries are rapidly attained
    • Can collect, organize and analyze your data accurately
    • You can customize, for example, Spark or Hadoop configuration settings, or Python, R, Scala, or Java libraries.
    Incentivized
    Read full review
    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
    Read full review
    IBM
    • Easier pricing and plug-and-play like you see with AWS and Azure, it would be nice from a budgeting and billing standpoint, as well as better support for the administration.
    • Bundling of the Cloud Object Storage should be included with the Analytics Engine.
    • The inability to add your own Hadoop stack components has made some transfers a little more complex.
    Incentivized
    Read full review
    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
    Read full review
    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
    Read full review
    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
    Read full review
    IBM
    We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.
    Incentivized
    Read full review
    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
    • This product has allowed us to gather analytics data across multiple platforms so we can view and analyze the data from different workflows, all in one place.
    • IBM Analytics has allowed us to scale on demand which allows us to capture more and more data, thus increasing our ROI.
    • The convenience of the ability to access and administer the product via multiple interfaces has allowed our administrators to ensure that the application is making a positive ROI for our business users and partners.
    Incentivized
    Read full review
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