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."It helped us find find the optimal area for where our warehouse should be located."
"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."
"The solution is stable."
"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 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."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"Allowing the users to be able to take snapshots and create their own story without ever leaving the application is a very good feature."
"Unique data visualizations created based on - among others - customer reviews and hands-on experience. Qlik is an experienced company in the Business Intelligence / Data visualization area, that doesn't necessarily mean it is the best solution, however, based on my personal experience it is much more complex than Power BI and Tableau as I've had some things to do with these two concurrent softwares."
"Qlik Sense is a very powerful and useful tool."
"End users can adjust their analysis with a few simple clicks."
"Set analysis is a powerful scripting functionality which calculates complex queries into simple terms."
"The time it takes to deliver a dashboard is real quick."
"The flexibility of a non-IT developed solution allows for fast to market solutions."
"The drag-and-drop dashboard builder is an intuitive interface for building dashboards from source reports."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"Anaconda can't handle heavy workloads."
"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."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"The solution would benefit from offering more automation."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"When you install Anaconda for the first time, it's really difficult to update it."
"There are occasional stability problems, but Qlik support is excellent at correcting anything that arises."
"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."
"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."
"Data modelling automation needs improvement."
"It needs continued improvement on its visualizations and content customization."
"There is an inability to effectively manage (pre)caching (scheduling, assigning for respective user groups, etc), especially without community extensions or uour own development."
"Error handling is an area that needs to be improved."
"More focus needs to be on data streaming/real-time data reporting."
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.
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.
