SAP Lumira Discovery is SAP’s data visualization and discovery application. It facilitates data discovery, visualization, and analysis by assisting users with creation of dashboards, infographics, presentations, data facets, tag clouds, and more.
$185
per user
TensorFlow
Score7.6 out of 10
N/A
TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
Infographics derived from specific data sources appears to be well suited for development using Lumira. The development of executive level dashboards was less appropriate from my perspective. The software does not provide sufficient demonstration or samples for the users to learn from in my opinion.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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 networks 2. 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).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Even though the process of creating visualizations of data is now greatly improved, it could still be a lot better as users become accustomed to this kind of tool and bring forward edge cases the developers did not anticipate.
It would be awesome to have a cross platform tool that works on more than just Windows.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
SAP Lumira is very good self service analytical tool with powerful capabilities. However need to look into other SAP products in BI space, like SAP SAC. SAP Lumira is more used for custom and complex analytical need in business intelligence area. Also SAP Lumira is going out of maintenance in coming future replaced by SAP SAC.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Lumira is a desktop application runs in its own JVM. It installs its own java runtime libraries to avoid any core java version conflicts. The availability of the application is completely relies on individual machine hardware configuration. On a decent desktop, it performs well and always launches in either 32 or 64 bit environment based on the hosts system's OS
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The performance is linear with amount of data that is being explored. We have done some benchmarks acquiring 10million data cells without having any performance problems. We need to make proper adjustments to jvm run time properties to start with higher heap size and other parameters that optimizes the run time performance
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It does not have many bugs or issues since not a lot of new features are being added. The customer support for SAP Lumira Discovery is good and anyone considering this as a self-service tool would be happy. It integrates well in the SAP BI suite of products and the overall experience is positive.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Most of the user guides are pretty comprehensive and very easy to understand. The product itself is designed to be self-serve tool, did not need much of the end-user training. Most of the training we had is to how to read the data, how to explore the data, how to acquire the data etc.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Installing the desktop software on end-user machines is always challenging. The machine specifications are the biggest factor when running Lumira and be able to handle large datasets during data exploration. This often demands beefy machines at least for power-users. Although Lumira software licensing is not a big problem but managing partner's extensions and keeping track of their individual licenses may be an issue. If there is a way to bundle the more popular extensions such as vSQL or vOLAP should be bundled in core product and offer them as part of Lumira license instead of a separate license which causer operational burden.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Even though SAP Analytics Cloud is considered to be better in aspects such as data connectivity or analytics, we decided to choose Lumira as it was easier to understand, learn and use. As our business is not really that big and does not require the inclusion of large amounts of data, Lumira was overall the safest and most comfortable option. Also, some members in our team had previous knowledge so it was easier to adapt
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Enterprise wide implementation is a challenge with data security and trustedness. No easy installation can be done across the enterprise. no upgrade paths also available from SAP. They have so much of experience with desktop implementation, there it could be a controlled environment with a capital budget. These may be resolved in the upcoming releases
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
