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."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."
"I can use Anaconda for non-heavy tasks."
"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."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"It helped us find find the optimal area for where our warehouse should be located."
"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."
"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."
"Set analysis is a powerful scripting functionality which calculates complex queries into simple terms."
"Obviously and considering that Qlik Sense is a data visualization application, the most attractive feature is the fast handling of large amounts of data and the attractive visualization of the same."
"The reports are better looking than in QlikView."
"My organization now has data from disparate systems at their fingertips in a way that lets them get the answers they need when they want it."
"The drag-and-drop dashboard builder is an intuitive interface for building dashboards from source reports."
"With the changing business landscape, it is nice to access Qlik Sense through an external website. As an organization when we use QlikView Desktop, we need to connect to our internal network. We can access QlikView through the QlikView access point but the website has a little different look and feel than the desktop application."
"We have found the use of AI to be the most valuable feature."
"The Nprinting is useful."
"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."
"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."
"When you install Anaconda for the first time, it's really difficult to update it."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"I am not really a fan of the set analysis. It's its own language that doesn't quite make a whole lot of sense to me at this point. I wish it were more intuitive."
"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."
"Data modelling automation needs improvement."
"Qlik Sense could include additional features for data preparation and integration, making it easier for users to clean, transform, and integrate data from various sources."
"The solution needs to make improvements to the licensing model. They need to make it more affordable at scale, and to make it more affordable for those companies at the low end of the market as well."
"As we are a very process-oriented company, we would like to see more extensions maintained from Qlik, because it's a huge budget problem to choose the right one."
"Multi-server deployment: not just cloud, but on premise too, and hybrid. Needs lighter protocols to communicate between the different services and with the clients."
"It's going to take 20 to 30 minutes to refresh sometimes."
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while Qlik Sense is ranked 2nd in Data Visualization with 114 reviews. Anaconda is rated 8.0, 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 Amazon QuickSight, Tableau, Apache Superset, Microsoft Power BI 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.
