IBM Analytics Engine even lets you to analyze your analytics.
March 08, 2019

IBM Analytics Engine even lets you to analyze your analytics.

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Analytics Engine

We have just begun to explore very large data sets and gave the IBM Analytics Engine a test to see how it would work for us. We were quite surprised at how complete and easy it was to set up and manage multiple Spark and Hadoop clusters. The separation of computing and storage really drives the performance up and gives you a better architecture with which to manage your overall big data plans.
  • It’s easy to integrate if you are already on IBM cloud, and even if you are not you can still explore the whole package with their free Lite plan and some service credits they offer.
  • Unlimited clusters without any performance degradation is a nice selling point. The smaller cluster size seems to work since it is only the computer, and not mixed with storage.
  • The connection to Watson Studio helps manage your jobs as you submit them to the cluster, and this is a nice easy relationship with 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.
  • It has saved us quite a bit of time managing our catalog of clusters and keeping things organized.
  • Since we had a division we acquired running IBM Cloud, it was easy to get it running and try it out, but we found we prefer our Azure configuration better simply to keep our technology in alignment across corporate functions.
  • I definitely see some cost savings by separating out the storage and compute. It helps you start to put an appropriate price tag on certain instances of big data.
  • Azure HDInsight, AWS Cloud9, Snowflake and Oracle Advanced Analytics
IBM Analytics is a great tool and a welcome addition to your overall IBM strategy. I think in cases of tools like this, you either go with what your platform works best with or you go completely different with a 3rd party, like Snowflake. We are an Azure shop and just happened to have a division on IBM and wanted to give it a try. Performance-wise it stacks up against the other platform-specific tools, so you should feel comfortable when your data strategy tips in favor of needing more organization.
Oracle Advanced Analytics, Snowflake, Salesforce Analytics Cloud, Google Maps API, MapAnything, MapAnything Live, Google Ads (formerly AdWords), Google Ad Manager, Google Analytics, Google Analytics Premium, Google BigQuery, Google Forms, Google Tag Manager, Azure DNS, Microsoft 365 Business, Microsoft Access, Microsoft Azure Machine Learning Workbench, Microsoft Network Monitor, Microsoft R (formerly Revolution R), Microsoft Silverlight, Dropbox, Dropbox Business, Google Drive, Alteryx Connect, Alteryx Analytics, Alteryx Analytics Gallery, SQL Server Business Intelligence Manager, SQL Server Integration Services, Microsoft SQL Server
IBM Analytics Engine works well for managing and running multiple clusters, keeping them organized and monitoring your budget better by separating out the computer costs from the storage costs. It’s only a good option if you are already working within IBM Cloud, if you are an Azure or AWS shop, you have better options within those subscriptions for both price and performance. Also, if you don’t have much in Hadoop or Spark clusters, the features this tool offers only add incremental value to how you were managing it before.