Anaconda vs. Tableau Desktop

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Anaconda
Score 8.3 out of 10
N/A
Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.
$0
per month
Tableau Desktop
Score 8.2 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$70
per month
Pricing
AnacondaTableau Desktop
Editions & Modules
Free Tier
$0
per month
Starter Tier
$9
per month
Business Tier
$50
per month per user
Enterprise Tier
60.00+
per month per user
Tableau Creator
$70.00
Per User / Per Month
Offerings
Pricing Offerings
AnacondaTableau Desktop
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsAll pricing plans are billed annually.
More Pricing Information
Community Pulse
AnacondaTableau Desktop
Considered Both Products
Anaconda
Chose Anaconda
On top of all the software that I have used, Anaconda is the best because in Anaconda we have built-in packages that provide no headache to install packages and we can design a separate environment for different projects. Anaconda has versions made for special use cases. …
Chose Anaconda
One of the main competitors to Anaconda can be Google products such as Colab. Colab gives you the flexibility to handle large datasets gives it an edge over Anaconda. But again, the ease of access and usability of Anaconda stacks up against Colab. Besides, Anaconda relies more …
Chose Anaconda
Other systems might be easier to set-up but Anaconda is a fairly flexible analytics toolkit. It can be configured in a way that truly matches the way in which your business or analytics department works. Built on top of lots of open source projects so things aren't siloed and …
Tableau Desktop
Chose Tableau Desktop
We preferred Tableau over Power BI due to its user-friendly interface and interactive GUI. Since we work with large datasets, we observed that Power BI can deal with only a limited amount of data when compared to Tableau which creates complex visualizations in a time-efficient …
Top Pros
Top Cons
Features
AnacondaTableau Desktop
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Anaconda
9.3
25 Ratings
11% above category average
Tableau Desktop
-
Ratings
Connect to Multiple Data Sources9.822 Ratings00 Ratings
Extend Existing Data Sources8.024 Ratings00 Ratings
Automatic Data Format Detection9.721 Ratings00 Ratings
MDM Integration9.614 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Anaconda
8.5
25 Ratings
2% above category average
Tableau Desktop
-
Ratings
Visualization9.025 Ratings00 Ratings
Interactive Data Analysis8.024 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Anaconda
9.0
26 Ratings
10% above category average
Tableau Desktop
-
Ratings
Interactive Data Cleaning and Enrichment8.823 Ratings00 Ratings
Data Transformations8.026 Ratings00 Ratings
Data Encryption9.719 Ratings00 Ratings
Built-in Processors9.620 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Anaconda
9.2
24 Ratings
9% above category average
Tableau Desktop
-
Ratings
Multiple Model Development Languages and Tools9.023 Ratings00 Ratings
Automated Machine Learning8.921 Ratings00 Ratings
Single platform for multiple model development10.024 Ratings00 Ratings
Self-Service Model Delivery9.019 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Anaconda
9.5
21 Ratings
11% above category average
Tableau Desktop
-
Ratings
Flexible Model Publishing Options10.021 Ratings00 Ratings
Security, Governance, and Cost Controls9.020 Ratings00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Anaconda
-
Ratings
Tableau Desktop
8.3
167 Ratings
2% above category average
Pixel Perfect reports00 Ratings8.5139 Ratings
Customizable dashboards00 Ratings8.7166 Ratings
Report Formatting Templates00 Ratings7.8145 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Anaconda
-
Ratings
Tableau Desktop
9.0
164 Ratings
11% above category average
Drill-down analysis00 Ratings9.0159 Ratings
Formatting capabilities00 Ratings9.3162 Ratings
Integration with R or other statistical packages00 Ratings8.3122 Ratings
Report sharing and collaboration00 Ratings9.5157 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Anaconda
-
Ratings
Tableau Desktop
8.4
158 Ratings
1% above category average
Publish to Web00 Ratings8.3149 Ratings
Publish to PDF00 Ratings7.8149 Ratings
Report Versioning00 Ratings8.4116 Ratings
Report Delivery Scheduling00 Ratings9.3123 Ratings
Delivery to Remote Servers00 Ratings8.173 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Anaconda
-
Ratings
Tableau Desktop
8.5
156 Ratings
7% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings9.0154 Ratings
Location Analytics / Geographic Visualization00 Ratings8.4149 Ratings
Predictive Analytics00 Ratings8.4126 Ratings
Pattern Recognition and Data Mining00 Ratings8.02 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Anaconda
-
Ratings
Tableau Desktop
8.7
142 Ratings
3% above category average
Multi-User Support (named login)00 Ratings9.0139 Ratings
Role-Based Security Model00 Ratings8.1119 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.7129 Ratings
Report-Level Access Control00 Ratings9.03 Ratings
Single Sign-On (SSO)00 Ratings8.777 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Anaconda
-
Ratings
Tableau Desktop
8.1
135 Ratings
3% above category average
Responsive Design for Web Access00 Ratings8.4124 Ratings
Mobile Application00 Ratings7.297 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings8.7117 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Anaconda
-
Ratings
Tableau Desktop
9.2
64 Ratings
16% above category average
REST API00 Ratings9.456 Ratings
Javascript API00 Ratings8.951 Ratings
iFrames00 Ratings9.449 Ratings
Java API00 Ratings9.946 Ratings
Themeable User Interface (UI)00 Ratings8.653 Ratings
Customizable Platform (Open Source)00 Ratings8.946 Ratings
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AnacondaTableau Desktop
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Score 9.2 out of 10
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Score 8.9 out of 10
Medium-sized Companies
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Score 9.8 out of 10
Reveal
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Score 10.0 out of 10
Enterprises
Posit
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Score 9.8 out of 10
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Score 9.7 out of 10
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User Ratings
AnacondaTableau Desktop
Likelihood to Recommend
10.0
(38 ratings)
8.8
(194 ratings)
Likelihood to Renew
7.0
(1 ratings)
8.9
(39 ratings)
Usability
9.0
(3 ratings)
8.6
(63 ratings)
Availability
-
(0 ratings)
8.0
(10 ratings)
Performance
-
(0 ratings)
6.1
(9 ratings)
Support Rating
8.9
(9 ratings)
7.0
(56 ratings)
In-Person Training
-
(0 ratings)
9.4
(4 ratings)
Online Training
-
(0 ratings)
8.0
(4 ratings)
Implementation Rating
-
(0 ratings)
8.0
(34 ratings)
Configurability
-
(0 ratings)
8.1
(2 ratings)
Ease of integration
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
7.0
(3 ratings)
Vendor post-sale
-
(0 ratings)
10.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
AnacondaTableau Desktop
Likelihood to Recommend
Anaconda
I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.
Read full review
Tableau
Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.
Read full review
Pros
Anaconda
  • Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
  • Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
  • Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.
Read full review
Tableau
  • An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
  • Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
Read full review
Cons
Anaconda
  • It can have a cloud interface to store the work.
  • Compatible for large size files.
  • I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.
Read full review
Tableau
  • Formatting the data to work correctly in graphical presentations can be time consuming
  • Daily data extracts can run slowly depending on how much data is required and the source of the data
  • The desktop version is required for advanced functionality, editing on [the] Tableau server allows only limited features
Read full review
Likelihood to Renew
Anaconda
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
Read full review
Tableau
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
Read full review
Usability
Anaconda
I am giving this rating because I have been using this tool since 2017, and I was in college at that time. Initially, I hesitated to use it as I was not very aware of the workings of Python and how difficult it is to manage its dependency from project to project. Anaconda really helped me with that. The first machine-learning model that I deployed on the Live server was with Anaconda only. It was so managed that I only installed libraries from the requirement.txt file, and it started working. There was no need to manually install cuda or tensor flow as it was a very difficult job at that time. Graphical data modeling also provides tools for it, and they can be easily saved to the system and used anywhere.
Read full review
Tableau
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
Read full review
Reliability and Availability
Anaconda
No answers on this topic
Tableau
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Read full review
Performance
Anaconda
No answers on this topic
Tableau
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
Read full review
Support Rating
Anaconda
Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.
Read full review
Tableau
I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though
Read full review
In-Person Training
Anaconda
No answers on this topic
Tableau
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
Read full review
Online Training
Anaconda
No answers on this topic
Tableau
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful
Read full review
Implementation Rating
Anaconda
No answers on this topic
Tableau
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
Read full review
Alternatives Considered
Anaconda
I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!
Read full review
Tableau
If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.
Read full review
Scalability
Anaconda
No answers on this topic
Tableau
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
Read full review
Return on Investment
Anaconda
  • It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
  • By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
  • There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
Read full review
Tableau
  • Tableau was acquired years ago, and has provided good value with the content created.
  • Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
  • Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.
Read full review
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