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

I would less recommend it because it looks like IBI is receding a bit from the European market. I would not be certain for future support. Knowledge in the market in western Europe is limited Functional wise the application suits almost all situations. I would for sure recommend it purely based on its capabilities

Incentivized

• Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
• Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
• Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.

Incentivized

• One thing that has always been good at WebFOCUS is how they interact with the customer on items. They take suggestions and implement them. In addition technical support is timely and very detailed.
• I think they keep up with and lead in implementing new technologies in the BI space. One case of this are the ability for user to create their own easy dashboard using the green plus buttons. Also the ability to link d3 into and have the ability to implement new types of graphs is nice.
• I have been to a spoke at one of their user conferences and they are worth going to. In addition to all of the great seminars the interaction you get with vendors and other users is key in the growth of your knowledge. I've learned so much for my time at these conferences.

Incentivized

• It can have a cloud interface to store the work.
• Compatible for large size files.
• I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.

Incentivized

• The newest versions of WebFOCUS have an unnecessarily complicated security layout that makes configuration difficult to accomplish without bringing in the vendor for installs.
• This software tries to cover too many bases allowing you to switch from writing code manually to creating reports using only GUI tools. This sometimes complicates screens and functionality where the two methods don't always work well together. -though its nice to have the choice.
• The sales force is not as top notch as many software companies

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

I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!

Incentivized

Webfocus handles the side of our business that is involved with our catalogs. Our catalogs is a huge revenue driver for us and this tool has been extremely useful with planning feature catalogs. Tableau is used more for marketing and merchandising purchases since we can filter data based on website sales.

Incentivized

• It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
• By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
• There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.

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