Causal vs. IBM Analytics Engine

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Causal
Score 10.0 out of 10
N/A
Causal, from the company of the same name in London, presents a way to perform calculations, visualise data, and communicate with numbers. It helps build models faster, connect them directly to data, and share them with interactive dashboards and visuals. Suggested use cases are financial planning, planning CPC campaigns, track KPIs, or determine employee compensation.
$50
per month
IBM Analytics Engine
Score 7.3 out of 10
N/A
IBM BigInsights is an analytics and data visualization tool leveraging hadoop.N/A
Pricing
CausalIBM Analytics Engine
Editions & Modules
Pro
$50
per user, per month
Business
Contact Sales
No answers on this topic
Offerings
Pricing Offerings
CausalIBM Analytics Engine
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
CausalIBM Analytics Engine
Features
CausalIBM Analytics Engine
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Causal
9.3
1 Ratings
14% above category average
IBM Analytics Engine
-
Ratings
Pixel Perfect reports8.01 Ratings00 Ratings
Customizable dashboards10.01 Ratings00 Ratings
Report Formatting Templates10.01 Ratings00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Causal
8.3
1 Ratings
6% above category average
IBM Analytics Engine
-
Ratings
Drill-down analysis9.01 Ratings00 Ratings
Formatting capabilities8.01 Ratings00 Ratings
Report sharing and collaboration8.01 Ratings00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Causal
8.0
1 Ratings
3% below category average
IBM Analytics Engine
-
Ratings
Publish to Web8.01 Ratings00 Ratings
Publish to PDF8.01 Ratings00 Ratings
Report Versioning8.01 Ratings00 Ratings
Report Delivery Scheduling8.01 Ratings00 Ratings
Delivery to Remote Servers8.01 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Causal
8.0
1 Ratings
3% above category average
IBM Analytics Engine
-
Ratings
Predictive Analytics8.01 Ratings00 Ratings
Pattern Recognition and Data Mining8.01 Ratings00 Ratings
Best Alternatives
CausalIBM Analytics Engine
Small Businesses
Supermetrics
Supermetrics
Score 9.9 out of 10

No answers on this topic

Medium-sized Companies
Supermetrics
Supermetrics
Score 9.9 out of 10
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.3 out of 10
Apache Spark
Apache Spark
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
CausalIBM Analytics Engine
Likelihood to Recommend
10.0
(1 ratings)
9.5
(9 ratings)
User Testimonials
CausalIBM Analytics Engine
Likelihood to Recommend
Causal, Inc
Definitely suited best for B2B / B2B2C product modelling. We used this for B2B / B2B2C / C2C and the C2C side of things was always more complex to model out due to this being dependent on marketing spend (CAC) and factors around virality which really cannot be forecasted (not a shortcoming of Causal, just implied by the mechanics of modelling)
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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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Pros
Causal, Inc
No answers on this topic
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.
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Cons
Causal, Inc
No answers on this topic
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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Alternatives Considered
Causal, Inc
No answers on this topic
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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Return on Investment
Causal, Inc
No answers on this topic
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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ScreenShots