IBM Analytics Engine vs. Kibana

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Analytics Engine
Score 8.8 out of 10
N/A
IBM BigInsights is an analytics and data visualization tool leveraging hadoop.N/A
Kibana
Score 8.1 out of 10
N/A
Kibana allows users to visualize Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.N/A
Pricing
IBM Analytics EngineKibana
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Analytics EngineKibana
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
Features
IBM Analytics EngineKibana
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM Analytics Engine
-
Ratings
Kibana
9.0
5 Ratings
7% above category average
Pixel Perfect reports00 Ratings9.02 Ratings
Customizable dashboards00 Ratings9.05 Ratings
Report Formatting Templates00 Ratings9.03 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM Analytics Engine
-
Ratings
Kibana
5.7
5 Ratings
34% below category average
Drill-down analysis00 Ratings7.05 Ratings
Formatting capabilities00 Ratings7.04 Ratings
Report sharing and collaboration00 Ratings3.04 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM Analytics Engine
-
Ratings
Kibana
8.8
2 Ratings
5% above category average
Publish to Web00 Ratings9.52 Ratings
Publish to PDF00 Ratings8.52 Ratings
Report Versioning00 Ratings9.01 Ratings
Report Delivery Scheduling00 Ratings9.01 Ratings
Delivery to Remote Servers00 Ratings8.01 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
IBM Analytics Engine
-
Ratings
Kibana
8.8
4 Ratings
7% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.04 Ratings
Location Analytics / Geographic Visualization00 Ratings9.52 Ratings
Predictive Analytics00 Ratings10.01 Ratings
Best Alternatives
IBM Analytics EngineKibana
Small Businesses

No answers on this topic

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User Ratings
IBM Analytics EngineKibana
Likelihood to Recommend
9.5
(9 ratings)
7.0
(5 ratings)
Support Rating
-
(0 ratings)
7.7
(2 ratings)
User Testimonials
IBM Analytics EngineKibana
Likelihood to Recommend
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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Elastic
Kibana integrates seamlessly with Elastic Search which gives us access to parse and analyze data generated from our systems in order to make decisions. Also, Kibana helps us create insightful reports and dashboards that give us insights into the end-users usage on the system and helps us find the root cause of issues as well.
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Pros
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.
Read full review
Elastic
  • Fast searches with powerful index.
  • Beautiful data visualizations.
  • Real-time observability.
Read full review
Cons
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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Elastic
  • Some performance issues with large datasets.
  • Linking to dashboards makes extremely long urls.
  • Lack of reports.
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Support Rating
IBM
No answers on this topic
Elastic
We did not use the official Kibana support. Documentation was easy enough to follow.
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Alternatives Considered
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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Elastic
Kibana has a better usability experience, the core features I was using existed in all of them. I liked more in Kibana how you can easily create dashboards, charts, and reports without the need to be a tech person.
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Return on Investment
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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Elastic
  • Issues that affect checkout experiences for customers are able to be prioritized and solved quickly.
  • We are able to more efficiently use resources due to the automation of reporting alerts. Decreasing employee resources needed.
  • Visualization allows us to quickly share issues and explain to coworkers in order to escalate issues that can cost our bottom line.
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ScreenShots