Anaconda vs. ibi WebFOCUS

I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.

Incentivized

WebFOCUS is a good comprehensive tool for BI for companies. I feel that scenarios where you want the user to interact and be able to ingest data in different formats would be a good use of the tool. Performing data discovery is easier with InfoAssist, especially the most recent versions, and allows users to customize their views and provide comments.

Incentivized

• Installing packages is very easy with Anaconda. Anaconda comes with 'anaconda navigator', a terminal-like utility from which you can easily install R packages and python libraries.
• Launching R and python IDEs as well as Jupyter notebooks from anaconda navigator is simple, and Anaconda makes it very easy to keep these packages up-to-date.
• I really like the fact that if you don't want to install the full version of Anaconda, you can opt to install a lightweight version (called Miniconda) that includes less python libraries and only core conda. I've installed it when I didn't want to take up as much disk space as Anaconda requires, but it works just the same.

Incentivized

• Webfocus reports all have the option to export to Excel. The excel spreadsheet is always very organized and clean, and the information is very easy to read.
• Webfocus is able to maintain data from years prior. We can look up what we featured in catalogs and all the sales history attached with it.
• Webfocus is able to provide support to a variety of departments. For example, our buying team uses it for planning in advance and our marketing team uses the tool to see how categories and products as the selling

Incentivized

• More graphics need in Spyder book. If you work for couple of years then you will be bored with the graphics.
• Extra tools are required for making it secure. We uses extra tools for adding Username /Password to Jupyter.
• R Studio Hangs a lot when open from Anaconda Navigator.

Incentivized

• The Developer Studio has some bugs. I've faced errors where swapping between our DEV and PROD servers causes that the software stops responding.
• Easy to find documentation and examples. WebFOCUS has some help with this but it'd be better to provide more real life examples.
• Sometimes it's harder to code the graphical interface of the report because of the HTML styling.

Incentivized

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.

Incentivized

This software is deeply engrained with my organization and has become a tool that would not easily be replaced without spending more money and resources to get the same results. License cost is comparable to other report writing tools and the capabilities are greater than the competition without having to buy multiple apps to do the same thing.

Incentivized

I am giving this rating because I have been using this tool since 2017, and I was in college at that time. Initially, I hesitated to use it as I was not very aware of the workings of Python and how difficult it is to manage its dependency from project to project. Anaconda really helped me with that. The first machine-learning model that I deployed on the Live server was with Anaconda only. It was so managed that I only installed libraries from the requirement.txt file, and it started working. There was no need to manually install cuda or tensor flow as it was a very difficult job at that time. Graphical data modeling also provides tools for it, and they can be easily saved to the system and used anywhere.

Incentivized

Best BI tool/product I have used. The others don't compare overall. Some can look fancier, but when you actually use them with large data and data from numerous systems/sources that is where most of the competition falls away. I also don't like downtime. I have basically none for a large user base with WebFocus. Even SAP Crystal Reports went down for 4 days once - 4 days because the admin password got locked out due to a glitch and we had zero reports for 4 days. WebFocus has never had more than a few minutes of downtime. It's like a tank that just keeps rolling. There is no other choice for reliable BI.

Incentivized

Tracking availability formally for almost two years and we are at 99.8%

Incentivized

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.

Incentivized

They have extremely knowledgeable techs that I have worked with over the years. Some have actually become really good friends of mine. I see them often at local user groups and when we show them how we are using their tools to save millions of dollars throughout the company

Incentivized

It's hit and miss, the last class was overcrowded and people were having trouble connecting which took up much of the time. Instructors vary

Incentivized

Plan ahead on what data will be accessible and the type of security required on the database and if you will want to use security that is built into the software. It is worth consulting with the vendor on what your plan is and how they recommend you proceed in order to get results you are happy with.

Incentivized

One of the main competitors to Anaconda can be Google products such as Colab. Colab gives you the flexibility to handle large datasets gives it an edge over Anaconda. But again, the ease of access and usability of Anaconda stacks up against Colab. Besides, Anaconda relies more on your machine which makes it safe to use.

Incentivized

Above average. Feature wise [Information Builders WebFOCUS] stands out. User friendliness is OK. It can handle the most complex tasks and its extensions with for example R make it extremely versatile. Support is lagging in western Europe, although i am more than happy with current level. With takeover by tipco it remains to be seen how European strategy will evolve

Incentivized

• Positive impact - Multiple options for data presenting , visualizing and sharing. (Eg: R-Markdown).
• Positive impact - Ease of access to build complex machine learning models. (I work in NLP, it has multiple built in models to analyze the various contexts).
• Positive impact - Conda package let's to deal with external packages which can be used in Jupyter.

Incentivized

• We are not yet a success story. Though we've been implementing WebFOCUS for over a year, we have very few products in our Production portal. Of course, this is not all the responsibility of Information Builders, but we were ill-advised by our 'training coordinator' in our training of staff and coming up to speed with the tools has been very slow.
• Once skilled analysts and professional IT staff achieve a grasp of the products, they are able to very quickly create polished and well-received products.
• The DW/BI project has helped us to establish standards and protocols of communication that will allow us to more quickly meet knowledge transfer requirements