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."The documentation is excellent and the solution has a very large and active community that supports it."
"I can use Anaconda for non-heavy tasks."
"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 most advantageous feature is the logic building."
"It helped us find find the optimal area for where our warehouse should be located."
"The solution is stable."
"The virtual environment is very good."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"The scalability is there."
"The initial setup is not very complex."
"E-T-L, The Extract, Transform, and Loading capabilities of QlikView make it a highly sophisticated self-service business intelligence tool for developers and analysts."
"The integration with Salesforce has helped us gain access to crucial sales data in real-time."
"It's incredibly fast and can handle large volumes of data without slowing down our operations."
"Data transforming with scripting, and the associative model that lets users browse data in an easy way, are the most valuable features."
"If you correctly use the product for your use cases, it provides value for money."
"QlikView is a scalable solution that multiple users can easily use."
"When you install Anaconda for the first time, it's really difficult to update it."
"The solution would benefit from offering more automation."
"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."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"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."
"Anaconda can't handle heavy workloads."
"Enhancing user-friendliness would be highly beneficial."
"The solution should be mobile-responsive. It should also include drag-and-drop and slice-and-dice features."
"The user interface and ease of use takes a bit of a learning curve to pick up."
"The user interface is old."
"There is a lack of static PDF report generation and automatic resizing of the dashboard to fit the device."
"Sometimes the filters are disappearing, and I'm not sure why this is happening."
"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."
"They could provide a user-friendly analysis process rather than specialized IT resource code."
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.
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.
