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."I can use Anaconda for non-heavy tasks."
"The most advantageous feature is the logic building."
"The virtual environment is very good."
"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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"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."
"The documentation is excellent and the solution has a very large and active community that supports it."
"The notebook feature is an improvement over RStudio."
"The initial setup is quick and easy and you don't need special outside assistance to set everything up."
"Tableau has greatly enhanced our organization's data-driven decision-making processes by enabling us to create visually compelling reports and dashboards."
"Tableau Prep tool for data preparation is a most valuable tool."
"The most valuable features of the solution are the permission management and the user management."
"Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good. It is a very good tool, and it basically brings life into data with good design. We have been creating a lot of interactive visualizations and dashboards. It has a public version. There are public communities from where you can get a lot of examples for practice."
"I work for clients. That is my business model. Business people really like to see Tableau. They love Tableau because it is very user-friendly. The platform provides an easy to use interface, which is what most people like about it."
"Tableau is easy to use."
"Although Tableau isn't the best for us when it comes to processing and working on live data, it is very good at extracting data for analysis."
"When you install Anaconda for the first time, it's really difficult to update it."
"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"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."
"The solution would benefit from offering more automation."
"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."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"The product's features for cloud integration need improvement."
"The solution could use more features in data analytics."
"From the developer perspective, the data connection handling the target data set is what most needs to be improved."
"The only issue with the solution is with its prices at a regional level."
"It's not an aesthetic platform at the moment."
"It needs more ETL capabilities, to be able to address the end-to-end BI need."
"If you wanted to create something without making it an extra column in the data set, you can't just rename it to a more user-friendly short name."
"The tool's OpenAI integration was announced last year. However, it is late. Tableau is a good solution for end customers. However, there are some concerns regarding the stability and performance of its server architecture, including SaaS services. The server side appears unstable, and performance issues are noticeable, often accompanied by unclear error messages."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 291 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 Alteryx, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks.
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