What users are saying about
30 Ratings
20 Ratings
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Score 6.9 out of 100
30 Ratings
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Score 8.2 out of 100

Likelihood to Recommend

OpenText Magellan

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.
Christopher Noyes | TrustRadius Reviewer

TensorFlow

TensorFlow is great for most deep learning purposes. This is especially true in two domains:1. Computer vision: image classification, object detection and image generation via generative adversarial networks2. Natural language processing: text classification and generation.The good community support often means that a lot of off-the-shelf models can be used to prove a concept or test an idea quickly. That, and Google's promotion of Colab means that ideas can be shared quite freely. Training, visualizing and debugging models is very easy in TensorFlow, compared to other platforms (especially the good old Caffe days).In terms of productionizing, it's a bit of a mixed bag. In our case, most of our feature building is performed via Apache Spark. This means having to convert Parquet (columnar optimized) files to a TensorFlow friendly format i.e., protobufs. The lack of good JVM bindings mean that our projects end up being a mix of Python and Scala. This makes it hard to reuse some of the tooling and support we wrote in Scala. This is where MXNet shines better (though its Scala API could do with more work).
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

BI Standard Reporting

OpenText Magellan
8.0
TensorFlow
Customizable dashboards
OpenText Magellan
9.0
TensorFlow
Report Formatting Templates
OpenText Magellan
7.0
TensorFlow

Ad-hoc Reporting

OpenText Magellan
7.7
TensorFlow
Drill-down analysis
OpenText Magellan
5.0
TensorFlow
Formatting capabilities
OpenText Magellan
9.0
TensorFlow
Report sharing and collaboration
OpenText Magellan
9.0
TensorFlow

Report Output and Scheduling

OpenText Magellan
8.0
TensorFlow
Publish to Web
OpenText Magellan
9.0
TensorFlow
Publish to PDF
OpenText Magellan
9.0
TensorFlow
Report Versioning
OpenText Magellan
9.0
TensorFlow
Report Delivery Scheduling
OpenText Magellan
5.0
TensorFlow

Access Control and Security

OpenText Magellan
5.0
TensorFlow
Role-Based Security Model
OpenText Magellan
5.0
TensorFlow
Multiple Access Permission Levels (Create, Read, Delete)
OpenText Magellan
5.0
TensorFlow
Single Sign-On (SSO)
OpenText Magellan
5.0
TensorFlow

Mobile Capabilities

OpenText Magellan
3.0
TensorFlow
Responsive Design for Web Access
OpenText Magellan
3.0
TensorFlow
Dashboard / Report / Visualization Interactivity on Mobile
OpenText Magellan
3.0
TensorFlow

Application Program Interfaces (APIs) / Embedding

OpenText Magellan
6.2
TensorFlow
REST API
OpenText Magellan
5.0
TensorFlow
Javascript API
OpenText Magellan
9.0
TensorFlow
Java API
OpenText Magellan
5.0
TensorFlow
Themeable User Interface (UI)
OpenText Magellan
7.0
TensorFlow
Customizable Platform (Open Source)
OpenText Magellan
5.0
TensorFlow

Pros

OpenText Magellan

  • The report outputs can vary across different types such as HTML, PDF, and Excel
  • Their open source offering is very sufficient
  • There are great boards and blogs for developers and engineers to expand and use their features.
  • The people from the company that I've worked with are professional and courteous.
Bri Gipson | TrustRadius Reviewer

TensorFlow

  • A vast library of functions for all kinds of tasks - Text, Images, Tabular, Video etc.
  • Amazing community helps developers obtain knowledge faster and get unblocked in this active development space.
  • Integration of high-level libraries like Keras and Estimators make it really simple for a beginner to get started with neural network based models.
Nitin Pasumarthy | TrustRadius Reviewer

Cons

OpenText Magellan

  • The documentation on all the available features, but most importantly on the scripting side, can be improved
  • The standard look & feel of some basic options, like parameter selection or sorting and filtering, looks dated and can't be customized
  • The server portal needs to provide better tools
  • More integration is needed with other OpenText products
Martin Rubens | TrustRadius Reviewer

TensorFlow

  • RNNs are still a bit lacking, compared to Theano.
  • Cannot handle sequence inputs
  • Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.
Nisha murthy | TrustRadius Reviewer

Likelihood to Renew

OpenText Magellan

OpenText Magellan 3.9
Based on 9 answers
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
Todd Bellamy | TrustRadius Reviewer

TensorFlow

No score
No answers yet
No answers on this topic

Usability

OpenText Magellan

No score
No answers yet
No answers on this topic

TensorFlow

TensorFlow 9.0
Based on 1 answer
Support of multiple components and ease of development.
Anupam Mittal | TrustRadius Reviewer

Support Rating

OpenText Magellan

OpenText Magellan 9.1
Based on 1 answer
Always there on the front and backend for us and the client.
Jeffrey Fischer | TrustRadius Reviewer

TensorFlow

TensorFlow 9.4
Based on 2 answers
Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.
Anonymous | TrustRadius Reviewer

Implementation Rating

OpenText Magellan

No score
No answers yet
No answers on this topic

TensorFlow

TensorFlow 8.0
Based on 1 answer
Use of cloud for better execution power is recommended.
Anupam Mittal | TrustRadius Reviewer

Alternatives Considered

OpenText Magellan

I've used JReports and Actuate is very similar but seems to have a lot more customization features for the end user of BIRT reports.
Amy Broome | TrustRadius Reviewer

TensorFlow

Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice
Anonymous | TrustRadius Reviewer

Return on Investment

OpenText Magellan

  • 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.
Anonymous | TrustRadius Reviewer

TensorFlow

  • Learning is s bit difficult takes lot of time.
  • Developing or implementing the whole neural network is time consuming with this, as you have to write everything.
  • Once you have learned this, it make your job very easy of getting the good result.
Shambhavi Jha | TrustRadius Reviewer

Screenshots

Pricing Details

OpenText Magellan

General

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

TensorFlow

General

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

Rating Summary

Likelihood to Recommend

OpenText Magellan
7.0
TensorFlow
8.4

Likelihood to Renew

OpenText Magellan
3.9
TensorFlow

Usability

OpenText Magellan
TensorFlow
9.0

Support Rating

OpenText Magellan
9.1
TensorFlow
9.4

Implementation Rating

OpenText Magellan
TensorFlow
8.0

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