Mode, or Mode Analytics, from ThoughtSpot since the June 2023 acquisition, is a business intelligence platform that unifies company analytics by bringing data teams and business teams together, so analysts can provide rapid answers to strategic, ad hoc questions. And, business stakeholder can access relevant data to answer their own questions which can often detract more impactful work.
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OpenText Magellan
Score 9.0 out of 10
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OpenText Magellan Analytics Suite leverages a comprehensive set of data analytics software to identify patterns, relationships and trends through data visualizations and interactive dashboards.
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Pricing
Mode Analytics
OpenText Magellan
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
Mode
OpenText Magellan
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Mode Analytics
OpenText Magellan
Features
Mode Analytics
OpenText Magellan
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Mode Analytics
8.5
9 Ratings
4% above category average
OpenText Magellan
7.0
2 Ratings
16% below category average
Pixel Perfect reports
9.34 Ratings
00 Ratings
Customizable dashboards
8.49 Ratings
7.02 Ratings
Report Formatting Templates
7.86 Ratings
7.01 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Mode Analytics
7.4
9 Ratings
8% below category average
OpenText Magellan
8.3
3 Ratings
3% above category average
Drill-down analysis
7.18 Ratings
8.03 Ratings
Formatting capabilities
6.79 Ratings
8.03 Ratings
Integration with R or other statistical packages
7.39 Ratings
9.01 Ratings
Report sharing and collaboration
8.78 Ratings
8.02 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Mode Analytics
7.9
8 Ratings
4% below category average
OpenText Magellan
8.3
2 Ratings
1% above category average
Publish to Web
8.15 Ratings
8.02 Ratings
Publish to PDF
5.88 Ratings
8.02 Ratings
Report Versioning
7.74 Ratings
9.02 Ratings
Report Delivery Scheduling
9.68 Ratings
8.02 Ratings
Delivery to Remote Servers
8.34 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Mode is a clear category winner for how it easy it is to go from interactive analysis to professional quality reporting. You can easily do all your SQL and quite a bit of R/Python. If you want to quickly go from your database to simple charts, this is your pick. If you need to do heavier data modeling, scheduling jobs, or ML, you'll need something else, like Databricks. In my opinion, the quality of visualizations and some developer/analyst features make Databricks an unacceptable substitute.
If you do not have a large budget and are a large organization, I would steer clear of Actuate. If you are looking to do very complex washboarding, I would not use them. Your developers have to be very skilled to work with this. Plan to bring in consultants if necessary to help your process. Adhoc reporting is weak. If your pricing is user based and you expand, this could be very expensive.
I am no longer working for the company that was using Actuate but I believe they would continue to use it because the stitching costs would be to high. It would require a complete rewrite of the reports and the never version of Actuate (BIRT) even required an almost complete report rewrite
It is quite intuitive to use. It is fit specifically for doing sentiment, emotion, and intention analysis as well as text classification and text summarization. I would have given 10 if it is fit for the purpose of doing image processing and analysis as well. There is a huge market to analyze video and image data.
It is vastly superior to these in many ways, for complex reporting it is a much more sophisticated solution. Visualizations are very good. Javascript extensibility is very powerful, others don't support this or as well. Pentaho and MS are both OLAP oriented. Pentaho is moving more toward big data, which was not our primary focus. Others are stuck in the Crystal Reports Band metaphor.
Actuate can handle 50 to 60 sub reports inside a report very well.
Dynamically creating the datasource, chart, graph, reports are the main advantages. We can do any level of drilling, and can create a performance matrix dashboard efficiently.