We performed a comparison between Anaconda and Dundas BI based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The notebook feature is an improvement over RStudio."
"The documentation is excellent and the solution has a very large and active community that supports it."
"It helped us find find the optimal area for where our warehouse should be located."
"The most advantageous feature is the logic building."
"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."
"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."
"The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors."
"We have now the ability to create interactive and complex reports without the need for software developers and code."
"The solution has a good drag-and-drop feature for creating dashboards."
"We use Dundas to report on machine sensor data and create dashboards."
"The Layers feature organizes my work and makes it easier, instead of having to use scripting to show and hide when drilling down."
"With Dundas BI, you have a lot of visualization choices, and you can also do customizations by using HTML coding and JavaScript. The ease of development was one of the main factors for going for Dundas BI. The client had different reporting tools, but they wanted something that could accommodate all requirements."
"It was quite easy to use. The UI was basically drag-and-drop based. So, even if you were a beginner at coding software or something else, it would be easy to catch up on Dundas BI."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"Anaconda should be optimized for RAM consumption."
"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."
"It would be helpful if Dundas made the UI more user-friendly like the leading tools and decreased the learning curve. It should be simpler for a beginner to build dashboards."
"Working with the color palette is difficult in Dundas BI. They can work on different color palettes and make them organized and user-friendly. It would help a long way. Most of the time, the users face challenges in assigning colors to the fields that they have created or to the dimensions and measures in a chart."
"I would love to see more functions built in inside the application, instead of being scripted. They already did some of that in the new release, version 5, like forecasting, trend lines, etc., and I would love to see more of these kinds of calculations, which we used to do it by scripts before."
"I cannot select a visualization and see what filters are connected to it."
"For every object, references are generated, but sometimes, there was a problem with the references overlapping each other. Everything would go off. It would stop working, and then from the admin side, people had to do something to bring it up again."
"Lacks sufficient online support."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Dundas BI is ranked 21st in Data Visualization with 21 reviews. Anaconda is rated 7.8, while Dundas BI is rated 8.6. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of Dundas BI writes "Has a lot of integration and visualization options, but can't be easily used by business users, and working with the color palette is difficult". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Dundas BI is most compared with Microsoft Power BI, Tableau, Logi Analytics, Angles Professional and Salient.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
