Cloudera Distribution Hadoop (CDH) vs. IBM Analytics Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Distribution Hadoop (CDH)
Score 4.1 out of 10
N/A
CDH is Cloudera’s 100% open source platform distribution, including Apache Hadoop and built specifically to meet enterprise demands. CDH delivers everything needed for enterprise use right out of the box. By integrating Hadoop with more than a dozen other critical open source projects, Cloudera has created a functionally advanced system that helps you perform end-to-end Big Data workflows.N/A
IBM Analytics Engine
Score 8.8 out of 10
N/A
IBM BigInsights is an analytics and data visualization tool leveraging hadoop.N/A
Pricing
Cloudera Distribution Hadoop (CDH)IBM Analytics Engine
Editions & Modules
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Offerings
Pricing Offerings
Cloudera Distribution Hadoop (CDH)IBM Analytics Engine
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Cloudera Distribution Hadoop (CDH)IBM Analytics Engine
Top Pros
Top Cons
Best Alternatives
Cloudera Distribution Hadoop (CDH)IBM Analytics Engine
Small Businesses

No answers on this topic

No answers on this topic

Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.8 out of 10
Apache Spark
Apache Spark
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Distribution Hadoop (CDH)IBM Analytics Engine
Likelihood to Recommend
7.0
(1 ratings)
9.5
(9 ratings)
User Testimonials
Cloudera Distribution Hadoop (CDH)IBM Analytics Engine
Likelihood to Recommend
Cloudera
Cloudera Distribution Hadoop (CDH) does a lot of things really well - especially on the analytical front. That being said the product is quite expensive. There are seemingly numerous applications that do the same thing on the functional level that are much more cost effecient for enterprise teams. If I were recommending this to a colleague I would let them know the product will absolutely be able to get the job done for their use case, but there are more efficient options
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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.
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Pros
Cloudera
  • Solid and robust set of integrations
  • Easy to use and easy to deploy across the enterprise
  • Reliability - never lost any info
  • Simple and clean interface
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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.
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Cons
Cloudera
  • The price is quite high competitively speaking
  • Hard to learn more robust functions and custom options without experience
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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.
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Alternatives Considered
Cloudera
In terms of functionality there's not much difference, both get the job done. Amazon was more cost-efficient for our team, but this could vary depending on the size of the business. One thing I did notice was that Cloudera seemed to management and spit out our deployments faster than AWS.
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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.
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Return on Investment
Cloudera
  • Saves time by automating typically manual processes (data management, lifecyle AI etc)
  • Quick deployments and analytics allow for faster time-to-value
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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.
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ScreenShots