Anaconda vs Tableau comparison

The compared Anaconda and Salesforce solutions aren't in the same category. Anaconda is ranked #12 in Data Science Platforms , with an average rating of 8.8, and holds a 2.1% mindshare in the category. Salesforce is ranked #2 in BIT , with an average rating of 8.6, and holds a 18.2% mindshare. Additionally, 95% of Anaconda users are willing to recommend the solution, compared to 89% of Salesforce users who would recommend it.

Anaconda

Read 18 Anaconda reviews

1,614 Views
1,323 Comparison Views

95% willing to recommend

Tableau

Read 295 Tableau reviews

19,482 Views
16,446 Comparison Views

89% willing to recommend

Anaconda

Tableau

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Anaconda and Tableau based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Knime, Amazon Web Services (AWS) and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: January 2025).

Buyer's Guide

Data Science Platforms

January 2025

Download the complete report

Helped 837,501 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Anaconda

Average Rating

8.2

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Data Science Platforms (12th)

Tableau

Average Rating

8.4

Reviews Sentiment

6.4

Number of Reviews

295

Ranking in other categories

BI (Business Intelligence) Tools (2nd), Reporting (2nd), Data Visualization (1st), Embedded BI (1st)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Anaconda is designed for Data Science Platforms and holds a mindshare of 2.1%, down 2.3% compared to last year.
Tableau, on the other hand, focuses on BI (Business Intelligence) Tools, holds 18.2% mindshare, down 18.7% since last year.

Data Science Platforms

BI (Business Intelligence) Tools

Featured Reviews

Rohan Sharma

AI/ML Co-Lead at Developer Student Clubs - GGV

Provides all the frameworks and makes it easy to create environments for multiple projects

The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.

Read full review

ROMIL SHAH

Deputy General Manger - Information Technology at Nayara Energy

Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time

When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers. Tableau has recently launched a paid version for the documentation. So, documentation has become a little bit challenging when it comes to Tableau development because we do not have any tool to export the data out of it. It is a license-based feature that you need to purchase to prepare documentation. So, on the documentation front, for preparing clear documentation for any dashboard, it would help if we get an embedded option, rather than buying a license for each user for the documentation. To document anything, if I have to connect to each workbook and see what has been written as a formula and then document in the Word document, it is pretty time-consuming. We have the Microsoft stack, and we are currently evaluating Power BI because Tableau has a limitation of 50 columns for a drill-down report. If we want more than 50 columns, we have found a hack, but there is no ready-made option for doing it. So, we have to use another tool in case we need a drilled report with more than 50 columns. There are many instances where users need 80 or 90 columns for their analysis, and switching between two technologies becomes a challenge. It is not a cost-effective approach for us. Their support should be improved. We are not happy with their support. Whenever we raised queries, we were pointed to a few blogs, and we didn't get a proper solution from them. Their licensing should also be improved. They want us to purchase a Tableau Creator license for business users, whereas Power BI Desktop is free for business users. They should come up with a basic license with one or two connectors that our business users can use for preparing their visualizations. Tableau also charges us per user for users who want the data only through email.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

"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."

"It provides a unified platform where you can install Jupyter, Python Spider, and other related tools without needing separate installations."

"It helped us find find the optimal area for where our warehouse should be located."

"The most advantageous feature is the logic building."

"The virtual environment is very good."

"The notebook feature is an improvement over RStudio."

"I can use Anaconda for non-heavy tasks."

More Anaconda pros

"Its dashboarding is the most valuable. It is easy to create visualizations and dashboards and import Excel sheets and ESP files in Tableau as compared to other tools."

"From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."

"It's very easy to use and users don't need any IT support to access it as the information is right there."

"The best thing I like about Tableau is that you don't have to go for creating; it is calculated free."

"Tableau is highly scalable. Now that they've introduced Hyper, you can create an extract of more than 5 million rows in minutes and then do your analysis."

"I believe one of the most valuable features of the solution is trend analysis."

"It provides business users with a tool, so they are not dependent on IT."

"You can create attractive dashboards that inform users using Tableau."

More Tableau pros

Cons

"When you install Anaconda for the first time, it's really difficult to update it."

"I think that the framework can be improved to make it easier for people to discover and use things on their own."

"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."

"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."

"The solution would benefit from offering more automation."

"Having a small guide or video on the tool would help learn how to use it and what the features are."

"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 interface could be improved. Other solutions, like Visual Studio, have much better UI."

More Anaconda cons

"The setup was easy but we are having some problems with the configuration that is taking a long time. We have done some initial tests and some of the delays could be from bandwidth issues. However, the whole installation process should be simplified."

"It would be nice if we could export more raw data. Currently, there is a limit as to how much data you can export."

"If you mainly need a tool for BI reporting, it's not the best option. Tableau needs better abilities to generate simple reports, integrate, create databases, and work with data lakes."

"The forecasting feature in Tableau in my view is too limited because it must have dates but I should be able to predict the outcome of an event without having a date as part of the input."

"I would like to have the product be more flexible in terms of creating online shared dashboards."

"It needs a little bit more advanced modeling. I would like to see functionality like Cognos has in the Framework Manager."

"The data entered into Tableau must be clean. Otherwise, it won't work properly."

"The performance could be better."

More Tableau cons

Pricing and Cost Advice

"My company uses the free version of the tool. There is also a paid version of the tool available."

"The tool is open-source."

"The product is open-source and free to use."

"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."

"The licensing costs for Anaconda are reasonable."

"Tableau is an expensive solution compared to Power BI."

"There is a license for the use of this solution and it is on a per-user basis. The server is free but the users you have to pay for."

"For our organization, the cost hasn't been an issue."

"Licensing fees are paid on a yearly basis."

"Tableau has core-based and user-based licensing, and it is tied to scalability. The core-based licensing is about you buying a certain number of cores, and there is no restriction on the number of users who can use Tableau. The restriction is only on the number of cores. In user-based subscription licensing, there is a restriction on the number of users. Big companies and government organizations with a lot of users typically go for core-based licensing. User-based subscription licensing is a more common model. It has user roles such as creator, explorer, and viewer. A creator is someone who does the groundwork or development work. An explorer is someone who is into middle management but is not technically savvy, such as a category head. A viewer is like a typical decision-maker in senior management. For each role, Tableau is priced differently. The viewer role has the minimum price, and the creator role has the highest price. This pricing is available on their website. Everybody can see it."

"Tableau is a little cheaper as compared to Power BI and other technologies that we have used in the past. However, if the business users in our organization want to make presentations, Tableau has been asking us to purchase a Tableau Creator license, and $35 per month is expensive for business users. Power BI is giving a free desktop version for business users to connect to any data source and build their own dashboards. That's why we have proposed to use Power BI for most of the business users in our organization."

"Its price is higher than Power BI and QlikView. Tableau costs around $70 per user per month, whereas Power BI is around $8 to $9. QlikView is around $30. Tableau has various prices for various models such as Creator, Designer."

"This license is on a yearly basis."

More Tableau pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

837,501 professionals have used our research since 2012.

Comparison Review

it_user6330

Product Manager at a retailer with 10,001+ employees

May 2, 2013

MicroStrategy vs. Tableau

After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

10%

Manufacturing Company

University

Educational Organization

44%

Financial Services Firm

10%

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Anaconda?

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.

See all answers

What is your experience regarding pricing and costs for Anaconda?

Anaconda does not require a pricing structure, and it is available as an open-source tool. The features of Python, Jupyter, and others are free to use.

See all answers

What needs improvement with Anaconda?

Anaconda consumes a significant amount of processing memory when working on it. This is something that needs improvement as it can impact performance.

See all answers

Seeking lightweight open source BI software

It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...

See all answers

Tableau vs. Business Objects - Which is a better solution for visualization and analysis?

Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it consta...

See all answers

Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

See all answers

Comparisons

Databricks vs Anaconda

Compared 39% of the time

Microsoft Power BI vs Anaconda

Compared 13% of the time

Amazon SageMaker vs Anaconda

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs Anaconda

Compared 8% of the time

KNIME vs Anaconda

Compared 5% of the time

More Anaconda Competitors

Microsoft Power BI vs Tableau

Compared 19% of the time

Domo vs Tableau

Compared 12% of the time

Amazon QuickSight vs Tableau

Compared 8% of the time

Databricks vs Tableau

Compared 6% of the time

SAP Analytics Cloud vs Tableau

Compared 4% of the time

More Tableau Competitors

Product Reports

Buyer's Guide

Anaconda

February 2025

Download Anaconda product report

Buyer's Guide

Tableau

January 2025

Download Tableau product report

Also Known As

No data available

Tableau Desktop, Tableau Server, Tableau Online

Overview

Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

Anaconda

Tableau is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights.

Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.

Tableau has many valuable key features:

Tableau dashboards provide a complete view of your data through visualizations, visual objects, text, and more.
Tableau provides convenient, real-time options to collaborate with other users and instantly share data in the form of visualizations, sheets, and dashboards.
Tableau ensures connectivity to both live data sources and data extraction from external data sources as in-memory data. This gives users the flexibility to use data from more than one source without any restrictions.
Tableau gives many data source option, ranging from spreadsheets, big data, on-premise files, relational databases, non-relational databases, data warehouses, and big data, to on-cloud data.
Tableau has a lot of pre-installed information on maps, such as cities, postal codes, and administrative boundaries.
Tableau has a foolproof security system based on authentication and permission systems for data connections and user access. Tableau also gives you the freedom to integrate with other security protocols.

Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:

Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.

Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.”

Salesforce

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone

Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.

Buyer's Guide

Data Science Platforms

January 2025

Download Free Report

Find out what your peers are saying about Databricks, Knime, Amazon Web Services (AWS) and others in Data Science Platforms. Updated: January 2025.

DOWNLOAD NOW

837,501 professionals have used our research since 2012.

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.