8 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 8.5 out of 100
36 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>
Score 9 out of 100

Attribute Ratings

  • IBM Analytics Engine is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

7.0

Cloudera Distribution Hadoop (CDH)

70%
1 Rating
9.2

IBM Analytics Engine

92%
9 Ratings

Likelihood to Recommend

Cloudera Distribution Hadoop (CDH)

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
Anonymous | TrustRadius Reviewer

IBM Analytics Engine

  • 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.
Prasanna Nattuthurai | TrustRadius Reviewer

Pros

Cloudera Distribution Hadoop (CDH)

  • 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
Anonymous | TrustRadius Reviewer

IBM Analytics Engine

  • 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.
Anonymous | TrustRadius Reviewer

Cons

Cloudera Distribution Hadoop (CDH)

  • The price is quite high competitively speaking
  • Hard to learn more robust functions and custom options without experience
Anonymous | TrustRadius Reviewer

IBM Analytics Engine

  • 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.
Anonymous | TrustRadius Reviewer

Pricing Details

Cloudera Distribution Hadoop (CDH)

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Starting Price

IBM Analytics Engine

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Starting Price

Alternatives Considered

Cloudera Distribution Hadoop (CDH)

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.
Anonymous | TrustRadius Reviewer

IBM Analytics Engine

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.
Anonymous | TrustRadius Reviewer

Return on Investment

Cloudera Distribution Hadoop (CDH)

  • Saves time by automating typically manual processes (data management, lifecyle AI etc)
  • Quick deployments and analytics allow for faster time-to-value
Anonymous | TrustRadius Reviewer

IBM Analytics Engine

  • 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.
Anonymous | TrustRadius Reviewer

Add comparison