We performed a comparison between Anaconda and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"It helped us find find the optimal area for where our warehouse should be located."
"The virtual environment is very good."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"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 advantageous feature is the logic building."
"Compared to other products, visualization features are really good."
"The most valuable features are the visualizations, the way they show the combination charts."
"I like the calculation feature. I would not say it's such a good feature in Tableau, but if you have the knowledge, you can make that feature visible to everyone. It's not a feature that we can drag and drop and get the information. But whatever the data, whatever the calculation, I'm able to do. It's basically the knowledge base. Whatever knowledge I have, I can make that information public and publish it for management."
"It is very easy to implement and to use."
"The product has the best features for analytical views and filters."
"The most important feature is the tool is very easy to use. This makes it simple to introduce it to CxOs. After a rapid demo, they are usual impressed by the results shown, because it has such a rare simplicity."
"Tableau's visualization features let you present information insights quickly and practically. So it's something which I prefer with Tableau. In terms of reporting, I have to point out the sheer quality and function of the Tableau server, but the first impression is that it's a great visualization tool."
"It gives us a new dimension to the way that we analyse our data."
"When you install Anaconda for the first time, it's really difficult to update it."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Anaconda should be optimized for RAM consumption."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"Anaconda can't handle heavy workloads."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"The solution would benefit from offering more automation."
"It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy."
"Many things have to be improved in Tableau. Right now, we make the calculation, and then we get that information. It would be better if business users could do that. I would ask the people at Tableau to provide that option to business users to get that information in one click. It would be better if they automated some calculations. There should be more automation in Tableau. However, there are many things in automation mode, but it is very limited at the moment. We need automation for people who do not know much about Tableau. It would also be better if there were good community support like in Alteryx."
"When you create new fields in Tableau and you enter the formulas, there is a new small window that is there in the interface. You can enter the calculated fields, it could be more user-friendly. At this time it is limited and hard to understand at the beginning. The fields should be easier to use, such as in Microsoft Excel. You can have a difficult time understanding what to do in the fields, you end up doing trial and error to figure it out."
"The pricing is a bit higher than the competition. They'll need to lower it to stay competitive."
"Bursting email is needed to deliver the reports to many people in their inboxes and this functionality is not provided by Tableau."
"The ability to use it on MAC machines. As far as I know, this is not possible."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"I am not a frequent user of this solution, so I am not sure what they've been doing recently. The last time when I used it, I had to use other tools with it for data extraction and cleansing. Its price should also be improved. It is more expensive than Power BI. In terms of training, there is generally better online training for Power BI, but I am not sure of that. It would be helpful to know from where to access its training."
Anaconda is ranked 18th in Data Science Platforms with 1 review while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 18 reviews. Anaconda is rated 7.8, while Tableau is rated 8.4. 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 Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and SAP Analytics Cloud, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and SAP Analytics Cloud.
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