What users are saying about
1 Rating
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Score 10 out of 100
36 Ratings
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Score 9.1 out of 100

Likelihood to Recommend

datapine

For someone like me, who had no real experience in using BI tools before, datapine suits quite well. Most of the features I was able to explore on my own, and their support was always really helpful (as well as the tutorials). In general, I was most impressed from their dashboard features. If you look for a software with detailed statistical analysis options, you maybe need to take another (additional) tool. My main use-case was the visualization and reporting of the analysis results, not the statistical analysis itself. This usually was done before with SPSS.
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

Feature Rating Comparison

BI Standard Reporting

datapine
10.0
IBM Analytics Engine
Pixel Perfect reports
datapine
10.0
IBM Analytics Engine
Customizable dashboards
datapine
10.0
IBM Analytics Engine

Ad-hoc Reporting

datapine
9.7
IBM Analytics Engine
Drill-down analysis
datapine
10.0
IBM Analytics Engine
Formatting capabilities
datapine
9.0
IBM Analytics Engine
Report sharing and collaboration
datapine
10.0
IBM Analytics Engine

Report Output and Scheduling

datapine
9.8
IBM Analytics Engine
Publish to Web
datapine
10.0
IBM Analytics Engine
Publish to PDF
datapine
10.0
IBM Analytics Engine
Report Versioning
datapine
9.0
IBM Analytics Engine
Report Delivery Scheduling
datapine
10.0
IBM Analytics Engine

Data Discovery and Visualization

datapine
9.0
IBM Analytics Engine
Pre-built visualization formats (heatmaps, scatter plots etc.)
datapine
10.0
IBM Analytics Engine
Location Analytics / Geographic Visualization
datapine
8.0
IBM Analytics Engine
Predictive Analytics
datapine
9.0
IBM Analytics Engine

Access Control and Security

datapine
9.0
IBM Analytics Engine
Multi-User Support (named login)
datapine
9.0
IBM Analytics Engine
Role-Based Security Model
datapine
9.0
IBM Analytics Engine
Multiple Access Permission Levels (Create, Read, Delete)
datapine
9.0
IBM Analytics Engine

Mobile Capabilities

datapine
9.0
IBM Analytics Engine
Responsive Design for Web Access
datapine
8.0
IBM Analytics Engine
Dashboard / Report / Visualization Interactivity on Mobile
datapine
10.0
IBM Analytics Engine

Pros

datapine

  • Intuitive user interface, especially within the analyzer (drag & drop).
  • Dashboard templates helped to create visually appealing dashboards.
  • Many different reporting options.
  • Customer support is really helpful.
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

datapine

  • Some advanced functions need SQL knowledge.
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

Alternatives Considered

datapine

No answers on this topic

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

datapine

No answers on this topic

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

Pricing Details

datapine

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Optional
$2,000

datapine Editions & Modules

On-premise Edition
datapine Server$9991
  1. per installation
SaaS Edition
Basic$2491
Professional$4991
Premium$7691
  1. per installation
Additional Pricing Details
Prices are per month.

IBM Analytics Engine

General

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

IBM Analytics Engine Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

datapine
10.0
IBM Analytics Engine
9.0

Add comparison