We performed a comparison between Anaconda and QlikView based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."It helped us find find the optimal area for where our warehouse should be located."
"I can use Anaconda for non-heavy tasks."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"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 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."
"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 documentation is excellent and the solution has a very large and active community that supports it."
"The most valuable feature of QlikView is the integration with other third-party tools."
"It is a stable product."
"We can scale it if we need to."
"Scripting as per a customer's need, which is a pretty cool feature and not available in other tools."
"This is a very cool application with endless options of creativity and visuals."
"It enables us to configure various elements, such as dashboard settings, including factors like color schemes and other customization parameters."
"It excels in supporting database connections and various database types."
"The most useful feature of QlikView for me is the QVD concept."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"Anaconda should be optimized for RAM consumption."
"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 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."
"When you install Anaconda for the first time, it's really difficult to update it."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"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."
"Anaconda can't handle heavy workloads."
"They could improve the update time."
"Sometimes the filters are disappearing, and I'm not sure why this is happening."
"More/newer visualisation components need to be added."
"There could be a feature to analyze the sales and accounting data of the client."
"I would want them to have more options as a user. It would be nice for them to create their own dashboards and add fields."
"Enhancing user-friendliness would be highly beneficial."
"Sometimes, dealing with complex reports requires more effort, which could be really improved."
"Though the initial setup phase is simple, when it comes to the integration with the custom systems, the configuration and the compatibility sometimes take some more time."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while QlikView is ranked 5th in Reporting with 158 reviews. Anaconda is rated 7.8, while QlikView is rated 8.2. 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 QlikView writes "Useful for data visualization and business intelligence". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas QlikView is most compared with Tableau, Microsoft Power BI, Amazon QuickSight, SQL Server and TIBCO Spotfire.
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