We performed a comparison between Anaconda and Qlik Sense based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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."
"The notebook feature is an improvement over RStudio."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."
"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 product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The solution is stable."
"The documentation is excellent and the solution has a very large and active community that supports it."
"What I found most valuable in Qlik Sense is its flexibility. It's a very flexible tool, and it has a lot of capabilities compared to Tableau and Power BI. In Qlik Sense, you can take data from any of the systems, and you can do data transformation, prepare the data, then present your KPIs. Data transformation isn't present in Tableau, Power BI, and other tools. In Qlik Sense, you're able to get the data and directly present that data. The presentation layer is also very good in Qlik Sense. My company is very happy with this tool."
"It allows you to create a new column using split on a current column, which we find very useful."
"The reports are better looking than in QlikView."
"The most valuable feature is the interface for the end-user."
"The Nprinting is useful."
"The integration with R & Python for predictive modeling, and possibly machine learning in the future, is very valuable."
"There are a lot of features available in this solution, it has been very easy to use. We have found it to be less complex and user-friendly compared to other solutions we have used."
"The GeoAnalytics paints such a clear picture. It provides a visual of our patient volume, giving us opportunities to see how we are trending in the surrounding cities, and making us more aware of locations that we need to focus more on."
"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"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."
"When you install Anaconda for the first time, it's really difficult to update it."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"The solution would benefit from offering more automation."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Ad-hoc reporting capabilities would be ideal."
"Moving forward I would like to see more features that are currently available in QlikView, such as being able to better customize coloring within charts. I would also like to see the ability to add calculated dimensions to the selections tool in the page."
"There is no downside."
"I would like to have the ability to better customize the visuals including changing fonts, sizing, colors, axes, and titles."
"I wish the product had the ability for slightly more customization. The out-of-the box charts and visualizations are fantastic, but I want to be able to tweak it without having to add outside extensions and widgets."
"There is room for improvement in the storytelling mode and the report sharing. Qlik Sense also does not have a subscription base like Power BI. So a lot of the analysis is housed in community pages that are managed by either the author or a database administrator, or whoever the Qlik Sense manager is there."
"The QMC needs more work. Some of the features should be available directly from the hub. Too many duplicates/publish. Intelli-sense when loading a stored qvd would help so much with remembering column names. The pop-up windows are too small when working in the QMC."
"The management console appearance needs improvement to its look."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Qlik Sense is ranked 2nd in Data Visualization with 112 reviews. Anaconda is rated 7.8, while Qlik Sense 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 Qlik Sense writes "Customizable with good ROI and a quick learning curve". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Qlik Sense is most compared with Tableau, Amazon QuickSight, Microsoft Power BI, Apache Superset and Alteryx.
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.
