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 documentation is excellent and the solution has a very large and active community that supports it."
"The solution is stable."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The virtual environment is very good."
"I can use Anaconda for non-heavy tasks."
"The most advantageous feature is the logic building."
"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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"Qlik Sense is much more user-friendly and easier to read then QlikView."
"The UI is very easy to use, with drag and drop self-service analytics."
"We were able to identify easy things, such as when a contract was loaded incorrectly."
"It is simple to develop, which is good."
"Qlik Sense has a modern look and feel and a very intuitive UI, so non-technical users find it very user friendly."
"All the necessary information is available to everyone in real time."
"The overall ability to build quick wins with simple data to drive insights."
"The drag and drop functionality provides an easy and fast development approach."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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 better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Anaconda can't handle heavy workloads."
"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."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"There is an inability to effectively manage (pre)caching (scheduling, assigning for respective user groups, etc), especially without community extensions or uour own development."
"We have faced some issues with NPrinting, so I feel there is some improvement needed such that it would allow the use of variables and calculative fields from Qlik."
"Some of the charts are still a bit basic and screen rendering on different sized monitors can be an issue."
"My advice to others is to make sure they have a good technical team. We have found that a lot of the consultants go in and out of the business and sometimes you are left alone without assistance."
"I would like to see Qlik add more DevOps functionality to their product. Currently, we have to turn to 3rd party products to handle things like Source Control, Code Deployment through environments, etc."
"Better searching capabilities would be a nice addition."
"Ability for the administrator to approve Community Sheets in the QMC and then move them into base sheets."
"Error handling is an area that needs to be improved."
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 Tableau, Amazon QuickSight, Microsoft Power BI, Apache Superset and Alteryx.
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