IBM Analytics Engine vs Kibana

Likelihood to Recommend

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.

Graduate Assistant

California State University-Los AngelesHigher Education, 1001-5000 employees

A scenario of great value of Kibana, we found it to use operational intelligence oriented to real-time monitoring of sales and new marketing campaigns, in this way we could make decisions live and not expect subsequent results. On the other hand, the graphic visualization web interface is basic but understandable for what is required.

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Diego Gamez

Analista de Proyectos

Cyberline SRLTelecommunications, 51-200 employees

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Feature Rating Comparison

IBM Analytics Engine

Kibana

Pixel Perfect reports

Customizable dashboards

Report Formatting Templates

IBM Analytics Engine

Kibana

Drill-down analysis

Formatting capabilities

Integration with R or other statistical packages

Report sharing and collaboration

IBM Analytics Engine

Kibana

Publish to Web

Publish to PDF

Report Versioning

Report Delivery Scheduling

Delivery to Remote Servers

IBM Analytics Engine

Kibana

Pre-built visualization formats (heatmaps, scatter plots etc.)

Location Analytics / Geographic Visualization

Predictive Analytics

Pros

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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Verified User

Director in Professional Services

Executive Office Company, 11-50 employees

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Dashboards
Integration with Elastic Search.
Search, Filters, Reports and Charts.

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Amr Saad

Lead Quality Engineer

SumergeComputer Software, 51-200 employees

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Cons

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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Verified User

Manager in Finance and Accounting

Consumer Goods Company, 10,001+ employees

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Not really an improvement area, but maybe provide templates to make creating views easier? Since most Kibana users will be non tech people.

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Ahmed Anwar Nasr

Staff Software Engineer

SumergeInformation Technology & Services, 51-200 employees

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Usability

No score

No answers yet

No answers on this topic

Kibana 10.0

Based on 1 answer

Usability and UI/UX is one of the strongest selling points of Kibana for data visualization.Kibana gives you the ability to create beautiful views containing various visual components like tables, charts, graphs, etc. with a few clicks and some configuration.

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Ahmed Anwar Nasr

Staff Software Engineer

SumergeInformation Technology & Services, 51-200 employees

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Support Rating

No score

No answers yet

No answers on this topic

Kibana 8.2

Based on 2 answers

I have not contacted Kibana support.

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Nick Horvath

Software Architect

ScivantageFinancial Services, 51-200 employees

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Alternatives Considered

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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Verified User

Consultant in Information Technology

Information Technology and Services Company, 51-200 employees

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Stackdriver and CloudWatch are not as intuitive and easy-to-use as Kibana, and do not offer such advanced filtering capabilities.Google BigQuery is not really suitable for real-time searches.All-in-all, we used all three of these solutions as a complement to Kibana, either to improve the reliability of the logging infrastructure or for cold storage of logs.

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Cristian Klein

Cloud Native Architect

ElastisysComputer Software, 11-50 employees

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Return on Investment

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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Verified User

Professional in Information Technology

Financial Services Company, 10,001+ employees

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One value is the open source version.
The costs for the cloud version are very affordable
Product support delivers as expected

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Diego Gamez

Analista de Proyectos

Cyberline SRLTelecommunications, 51-200 employees

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Pricing Details

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Rating Summary

IBM Analytics Engine

Kibana

IBM Analytics Engine

Kibana

IBM Analytics Engine

Kibana

Likelihood to Recommend