What users are saying about
Top Rated
81 Ratings
Top Rated
81 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 9 out of 100
14 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>
Score 7.5 out of 100

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 | TrustRadius Reviewer

Data Science Workbench

Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Anaconda
8.7
Data Science Workbench
7.3
Connect to Multiple Data Sources
Anaconda
8.9
Data Science Workbench
6.7
Extend Existing Data Sources
Anaconda
9.1
Data Science Workbench
7.7
Automatic Data Format Detection
Anaconda
8.6
Data Science Workbench
7.0
MDM Integration
Anaconda
8.3
Data Science Workbench
8.0

Data Exploration

Anaconda
8.4
Data Science Workbench
8.0
Visualization
Anaconda
8.5
Data Science Workbench
7.6
Interactive Data Analysis
Anaconda
8.3
Data Science Workbench
8.3

Data Preparation

Anaconda
8.4
Data Science Workbench
7.8
Interactive Data Cleaning and Enrichment
Anaconda
8.7
Data Science Workbench
7.3
Data Transformations
Anaconda
9.0
Data Science Workbench
8.0
Data Encryption
Anaconda
7.7
Data Science Workbench
8.0
Built-in Processors
Anaconda
8.3
Data Science Workbench
7.7

Platform Data Modeling

Anaconda
8.7
Data Science Workbench
8.0
Multiple Model Development Languages and Tools
Anaconda
9.3
Data Science Workbench
8.3
Automated Machine Learning
Anaconda
8.0
Data Science Workbench
7.0
Single platform for multiple model development
Anaconda
8.9
Data Science Workbench
7.9
Self-Service Model Delivery
Anaconda
8.6
Data Science Workbench
8.6

Model Deployment

Anaconda
8.8
Data Science Workbench
7.7
Flexible Model Publishing Options
Anaconda
8.7
Data Science Workbench
8.6
Security, Governance, and Cost Controls
Anaconda
9.0
Data Science Workbench
6.8

Pros

Anaconda

  • Clear install story. There are a lot of ways to install python. There's only one way to install anaconda. This makes teaching and standardizing much easier.
  • Batteries included. It's easy to install things in python, but anaconda ships with most of what you need out of the box. This helps with standardization and reproducibility.
  • Good integrations with Jupyter and other visual tools. Jupyter is really convenient when learning various python packages. Anaconda makes these tools easy to launch and to use.
Matthew Deakyne | TrustRadius Reviewer

Data Science Workbench

  • One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
  • For larger organizations/teams, it lets you be self reliant
  • As it sits on your cluster, it has very easy access of all the data on the HDFS
  • Linking with Github is a very good way to keep the code versions intact
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Cons

Anaconda

  • Anaconda could greatly benefit by integrating with Git and other versioning software.
  • The software's default installation is relatively bloated, slower on older machines, and could be improved by allowing for a lean default installation environment.
  • Anaconda has an issue with supporting the current version of Computer-Vision, a commonly used machine learning package.
Ryan McGarry | TrustRadius Reviewer

Data Science Workbench

  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Anaconda

Anaconda 7.0
Based on 1 answer
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.
Matthew Deakyne | TrustRadius Reviewer

Data Science Workbench

No score
No answers yet
No answers on this topic

Usability

Anaconda

Anaconda 8.9
Based on 2 answers
The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.
Juande Santander-Vela | TrustRadius Reviewer

Data Science Workbench

No score
No answers yet
No answers on this topic

Support Rating

Anaconda

Anaconda 8.9
Based on 16 answers
There is a lot of sources to get support for Anaconda based on the large data scientist or data engineer user community. Whenever you need something, you can type it in Google search, and you can find out people who had a similar problem and the solution for it.
Xiaotong Song | TrustRadius Reviewer

Data Science Workbench

Data Science Workbench 7.1
Based on 2 answers
Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Anaconda

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics.Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitiveAnaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
Mauricio Quiroga-Pascal Ortega | TrustRadius Reviewer

Data Science Workbench

Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Return on Investment

Anaconda

  • We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
  • We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.
Anonymous | TrustRadius Reviewer

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

Pricing Details

Anaconda

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Anaconda Editions & Modules

Edition
Commercial Edition14.951
Team Edition$10,000
Enterprise EditionContact for quote
  1. per month
Additional Pricing Details

Data Science Workbench

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Data Science Workbench Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Anaconda
9.0
Data Science Workbench
8.1

Likelihood to Renew

Anaconda
7.0
Data Science Workbench

Usability

Anaconda
8.9
Data Science Workbench

Support Rating

Anaconda
8.9
Data Science Workbench
7.1

Add comparison