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."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."
"It helped us find find the optimal area for where our warehouse should be located."
"The notebook feature is an improvement over RStudio."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"The virtual environment is very good."
"I can use Anaconda for non-heavy tasks."
"The solution is stable."
"The ability to deploy is the added ability to centralise the Tableau repository for all Tableau Developers."
"The solution helps users create dashboards and analyze data without relying on IT or product teams."
"It provides business users with a tool, so they are not dependent on IT."
"Good data flow and management."
"The product offers an intuitive user interface, detailed screens and widgets, and the absence of data limitations"
"It is a stable solution."
"You are able to see and follow trends."
"It's very easy to use and users don't need any IT support to access it as the information is right there."
"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."
"It also takes up a lot of space."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"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."
"When you install Anaconda for the first time, it's really difficult to update it."
"The solution would benefit from offering more automation."
"The data entered into Tableau must be clean. Otherwise, it won't work properly."
"A strict security measure is needed. I believe it is weak in terms of security."
"The product's features for cloud integration need improvement."
"Formatting controls could use some improvement."
"I take a long time to process the hundreds of thousands or millions of records that must be processed every day."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"The price of Tableau is too high."
"An area needing improvement involves the complexity of the product should you need to alter a lot of parameters. If you have technical servers, much interface, different providers and more serious processes, that will be time consuming."
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. Anaconda is rated 8.0, 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 Dataiku, whereas Tableau is most compared with Microsoft Power BI, Domo, Amazon QuickSight, SAS Visual Analytics and Databricks.
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.