Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.
$0
per month
SAP Lumira Discovery
Score 7.6 out of 10
N/A
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.
As a Data Analyst, it is my job to analyze large datasets using complex mathematical models. Anaconda provides a one-stop destination with tools like PyCharm, Jupyter, Spyder, and RStudio. One case where it is well suited is for someone who has just started his/her career in this field. The ability to install Anaconda requires zero to little skills and its UI is a lot easier for a beginner to try. On the other hand, for a professional, its ability to handle large data sets could be improved. From my experience, it has happened a lot that the system would crash with big files.
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.
Although I have generally had positive experiences with Anaconda, I have had trouble installing specific python libraries. I tried to remedy the solution by updating other packages, but in the end, things got really messed up, and I ended up having to uninstall and reinstall a total of about 4 times over the past 2 years.
If you have the free version of Anaconda, there is not much support. Googling questions and error messages are helpful, but there were times when I wished I would have been able to ask technical support to help me troubleshoot issues.
There were a few times when I tried to install tensorflow and tensorboard via Anaconda on a PC, but I could not get them to install properly. Anaconda allows you to create 'environments' , which allow you to install specific versions of python and associated libraries. You can keep your environments separate so they do not conflict with one another. Anyway, I ended up having to create several 'conda envrionments' just so I could use tensforflow/tensorboard and a few other utilities to avoid errors. This was somewhat annoying, because every time I wanted to run a specific model, I'd have to open up the specific conda environment with the appropriate python libraries.
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.
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
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.
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
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
Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.
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.
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.
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.
ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics. Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitive Anaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
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
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
