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 documentation is excellent and the solution has a very large and active community that supports it."
"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."
"It helped us find find the optimal area for where our warehouse should be located."
"The solution is stable."
"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."
"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'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."
"I can use Anaconda for non-heavy tasks."
"I have found Tableau easy to use and the features are superb."
"It's the ease of use. It is also a self-service tool so it decreases the burden on having centralized IT-type teams or developers."
"Tableau has many good features. It is user-friendly, has a simple-to-use interface, and has a customizable dashboard."
"It is easy to adapt visualizers to have interactive conversations among decision-makers."
"It gives us a new dimension to the way that we analyse our data."
"Visualization attributes: Marks – Color, Size, Label, etc.. Easily Accessible and Intuitive."
"The most valuable feature is the ease of use."
"The solution has great features which nobody can beat, you can do a lot of customizations, such as use different dimensions and colorize them. Additionally, you can use the numeric values for the customization, which is an exceptional feature."
"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."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"When you install Anaconda for the first time, it's really difficult to update it."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"It's not an aesthetic platform at the moment."
"The customization requires a lot of effort and should be simplified. The performance could be better."
"Other tools are more competitively priced."
"It would be nice to include more features on each dashboard."
"SAP BusinessObjects has some semantic layer designs that give the flexibility to do ad hoc reporting or dashboard designing. If that can be brought into Tableau, it would be great. We have the data in the database, but we should also be able to bring something between the database and the dashboard and do some semantic layer modeling for ad hoc reporting requirements."
"There are not enough language options. It needs to be offered in more than just English."
"Tableau's data modeling, mining, and AI library features need improvement."
"I would like to have the product be more flexible in terms of creating online shared dashboards."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 290 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 MathWorks Matlab, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, 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.