What users are saying about

Anaconda

Top Rated
33 Ratings

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Top Rated
1223 Ratings

Anaconda

Top Rated
33 Ratings
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Score 8.8 out of 101

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Top Rated
1223 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8.2 out of 101

Add comparison

Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen profile photo

Tableau Desktop

It definitely depends on the use case of company. If they have the data cooked and ready for reporting they can always add a layer like Tableau on top of their EDW or Data Marts which would make their reporting goals successful undoubtedly. Gartner's magic quadrant rates Tableau the best visualization layer for last couple of years.One thing to keep in mind is if the company is very small and has less of a budget to spend on tools for each ETL layer, architect and visualization layer then Tableau won't be a good choice. It might be expensive for them. Also you can't bring in facts and dimension inside Tableau Desktop to create relationships and logical model like MicroStrategy.
Abanish Mishra profile photo

Feature Rating Comparison

BI Standard Reporting

Anaconda
Tableau Desktop
8.4
Pixel Perfect reports
Anaconda
Tableau Desktop
8.3
Customizable dashboards
Anaconda
Tableau Desktop
8.8
Report Formatting Templates
Anaconda
Tableau Desktop
8.1

Ad-hoc Reporting

Anaconda
Tableau Desktop
8.4
Drill-down analysis
Anaconda
Tableau Desktop
8.5
Formatting capabilities
Anaconda
Tableau Desktop
8.2
Integration with R or other statistical packages
Anaconda
Tableau Desktop
8.1
Report sharing and collaboration
Anaconda
Tableau Desktop
8.7

Report Output and Scheduling

Anaconda
Tableau Desktop
7.8
Publish to Web
Anaconda
Tableau Desktop
8.5
Publish to PDF
Anaconda
Tableau Desktop
8.2
Report Versioning
Anaconda
Tableau Desktop
7.3
Report Delivery Scheduling
Anaconda
Tableau Desktop
7.5
Delivery to Remote Servers
Anaconda
Tableau Desktop
7.3

Data Discovery and Visualization

Anaconda
Tableau Desktop
8.1
Pre-built visualization formats (heatmaps, scatter plots etc.)
Anaconda
Tableau Desktop
8.5
Location Analytics / Geographic Visualization
Anaconda
Tableau Desktop
8.8
Predictive Analytics
Anaconda
Tableau Desktop
7.1

Access Control and Security

Anaconda
Tableau Desktop
7.6
Multi-User Support (named login)
Anaconda
Tableau Desktop
8.2
Role-Based Security Model
Anaconda
Tableau Desktop
7.4
Multiple Access Permission Levels (Create, Read, Delete)
Anaconda
Tableau Desktop
7.6
Single Sign-On (SSO)
Anaconda
Tableau Desktop
7.3

Mobile Capabilities

Anaconda
Tableau Desktop
7.7
Responsive Design for Web Access
Anaconda
Tableau Desktop
8.2
Dedicated iOS Application
Anaconda
Tableau Desktop
7.3
Dedicated Android Application
Anaconda
Tableau Desktop
7.1
Dashboard / Report / Visualization Interactivity on Mobile
Anaconda
Tableau Desktop
8.3

Application Program Interfaces (APIs) / Embedding

Anaconda
Tableau Desktop
7.1
REST API
Anaconda
Tableau Desktop
8.0
Javascript API
Anaconda
Tableau Desktop
7.1
iFrames
Anaconda
Tableau Desktop
6.7
Java API
Anaconda
Tableau Desktop
6.9
Themeable User Interface (UI)
Anaconda
Tableau Desktop
7.0
Customizable Platform (Open Source)
Anaconda
Tableau Desktop
7.0

Pros

  • Integration of the most popular and useful Python packages
  • Managing multiple execution environments
  • Management of package dependencies
Daniel Blazquez profile photo
  • Ease to connect to various types of data sources, hosted locally and in the cloud: almost "plug-and-play"
  • Support to quickly create compelling dashboards that can be used by various analysts across the organization: I meet with the stakeholders who pose the questions and we brainstorm together so they lead me through the construction of the right set of assets. At any step, I am able to show them the current stage of the visualizations being built, until we reach a point at which what is left to be done is the finessing of the final assets.
  • Ease to blend heterogeneous data sources: this "point-and- click" feature has been useful when we need to combine heterogeneous data sources in the creation of dashboards
  • Easy sharing of visualization assets among peers: we create versions of the visualization assets under construction using extracts, which makes the sharing of the resources particularly easy since stakeholders focus on analyzing the data and not on issues related to the underlying data infrastructure
AJ Sanchez profile photo

Cons

  • I am not sure as I have not explored more on Anaconda platform if we can create workflows of different tasks on data using pre-defined templates. For example, KNIME offers this kind of approach.
  • Once some analysis is completed and if the result has to be presented, currently I see the only option is sharing the Jupyter notebook.
SURA SREENIVASULU profile photo
  • Almost completely GUI-based. This makes some types of customization impossible, since there are certain parameters that are completely out of the user's control. By contrast, something like ggplot in R allows for a massive amount of customization, but can be time consuming to learn, code and share.
  • No OS X version available. Tableau claims this is coming in a future update.
  • Limited ability to embed into presentations. If your use case involves creating graphics to embed into presentations, you'll need to export your Tableau workbooks as images, embed those images into your presentation, and repeat whenever your data is updated.
Peter Rigano profile photo

Likelihood to Renew

No score
No answers yet
No answers on this topic
Tableau Desktop8.9
Based on 39 answers
Note: my input has little bearing on the actual purchase decision. I'd gladly renew Tableau, since it gives me capabilities that I couldn't not replicate with other tools given my current skill set. I can create data visualization and BI dashboards in a matter of hours which provide real-time data to my entire department without needing to do any web application development. This gives me an incredible amount of leverage, and saves many hours each month.
Peter Rigano profile photo

Usability

No score
No answers yet
No answers on this topic
Tableau Desktop8.6
Based on 23 answers
Tableau's main selling points are the fact that you can connect to almost any data source within a couple of clicks and the fact that you can slice-and-dice your data with just a few drags. Tableau also has the ability to grow with the user's comfort level. The most advanced you get, the more you can utilize Tableau's advance features, such as table calculations, to create truly amazing analyses.
Brad Llewellyn profile photo

Reliability and Availability

No score
No answers yet
No answers on this topic
Tableau Desktop8.0
Based on 10 answers
Have seen issues with the vertica DB driver which manifest as errors for the end user.
Paul Morgan profile photo

Performance

No score
No answers yet
No answers on this topic
Tableau Desktop6.7
Based on 9 answers
It performs as well as could be expected; the challenge is making sure the data is organized correctly to optimize performance.
Paul Morgan profile photo

Support

No score
No answers yet
No answers on this topic
Tableau Desktop8.9
Based on 16 answers
I personally have no had any experience with the HelpDesk. However, our clients speak highly of it.
Brad Llewellyn profile photo

In-Person Training

No score
No answers yet
No answers on this topic
Tableau Desktop9.4
Based on 4 answers
Extensive and beneficial - users have shown great benefit of training and put it to practical use.
Paul Morgan profile photo

Online Training

No score
No answers yet
No answers on this topic
Tableau Desktop8.0
Based on 4 answers
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
Chandra Bhanu Pratap Singh profile photo

Implementation

No score
No answers yet
No answers on this topic
Tableau Desktop8.1
Based on 34 answers
It's fairly straightforward to set up and upgrade. If you can install a generic piece of modern software like MS Office, you won't have any trouble.
Alexander Lubyansky profile photo

Breadth of Deployment

No answers on this topic
The department I worked in had around 30 people. I believe we had at least 15 licenses possibly more.
Mashhood Syed profile photo

Alternatives Considered

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!
Maike Holthuijzen profile photo
We have evaluated QlikView as well. QlikView is another tool in the "Self-Service BI" world. However, it's focus is mainly on creating ad-hoc data models and using these models to make visualizations. Tableau, on the other hand, will take an existing data model and make much more impressive, and useful, charts than QlikView would.
Brad Llewellyn profile photo

Collaboration and Sharing

No score
No answers yet
No answers on this topic
Tableau Desktop8.2
Based on 81 answers
Collaboration with content consumers is a very broad subject. Thus a link is provided to the Tableau web site that addresses the most current changes. Single sign on and tons of other features have been added as clients demand the highest level of security given that Tableau has moved up to enterprise level implementation.http://www.tableausoftware.com/support/releases/8.2.2
Larry Keller profile photo

Data Integration

No score
No answers yet
No answers on this topic
Tableau Desktop8.2
Based on 81 answers
Tableau Desktop has greatly improved with version 10 in terms of combining data from multiple data sources. Once a quality connection to the data source exists it is easily maintained. Filtering on the data source is also helpful for speed.
MeghanMarie Fowler-Finn profile photo

Scalability

No score
No answers yet
No answers on this topic
Tableau Desktop7.0
Based on 3 answers
Although tableau is highly interactive and fast but with very large dataset its performance degrades heavily. So up to certain extent its really good but after that we have to take care of its performance issues.
Chandra Bhanu Pratap Singh profile photo

Return on Investment

  • I am using the Opensource
SURA SREENIVASULU profile photo
  • Allowed for effective KPI tracking.
  • Influenced key site changes.
  • Uncovered reporting issues
Andy G Teasdale profile photo

Pricing Details

Anaconda

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Anaconda Editions & Modules
Anaconda
Additional Pricing Details

Tableau Desktop

General
Free Trial
Yes
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No
Tableau Desktop Editions & Modules
Tableau Desktop
Edition
Personal
$9991
Professional
$1,9991
1. per user
Additional Pricing Details
Free trials are available for both editions.