What users are saying about
48 Ratings
48 Ratings
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Score 8.7 out of 101
160 Ratings
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Score 8.1 out of 101

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

IBM Watson Studio

Watson Studio is optimal for experienced data scientists and machine learning professionals to develop and deploy models quickly while enforcing best practices that set up projects for deployment and management down the road. It's not appropriate for people without a data science or machine learning background for production use; the ease of the visual modelers does not mean it makes machine learning easy or intuitive.
Christopher Penn profile photo

Feature Rating Comparison

Platform Connectivity

Anaconda
7.0
IBM Watson Studio
7.4
Connect to Multiple Data Sources
Anaconda
10.0
IBM Watson Studio
8.5
Extend Existing Data Sources
Anaconda
8.0
IBM Watson Studio
8.0
Automatic Data Format Detection
Anaconda
3.0
IBM Watson Studio
7.0
MDM Integration
Anaconda
IBM Watson Studio
6.2

Data Exploration

Anaconda
7.5
IBM Watson Studio
8.0
Visualization
Anaconda
8.0
IBM Watson Studio
8.0
Interactive Data Analysis
Anaconda
7.0
IBM Watson Studio
8.0

Data Preparation

Anaconda
7.5
IBM Watson Studio
8.3
Interactive Data Cleaning and Enrichment
Anaconda
8.0
IBM Watson Studio
8.3
Data Transformations
Anaconda
9.0
IBM Watson Studio
8.0
Data Encryption
Anaconda
6.0
IBM Watson Studio
8.4
Built-in Processors
Anaconda
7.0
IBM Watson Studio
8.7

Platform Data Modeling

Anaconda
8.1
IBM Watson Studio
9.1
Multiple Model Development Languages and Tools
Anaconda
10.0
IBM Watson Studio
9.4
Automated Machine Learning
Anaconda
6.5
IBM Watson Studio
9.0
Single platform for multiple model development
Anaconda
8.5
IBM Watson Studio
8.7
Self-Service Model Delivery
Anaconda
7.5
IBM Watson Studio
9.2

Model Deployment

Anaconda
6.5
IBM Watson Studio
8.4
Flexible Model Publishing Options
Anaconda
7.0
IBM Watson Studio
8.3
Security, Governance, and Cost Controls
Anaconda
6.0
IBM Watson Studio
8.5

Pros

Anaconda

  • Anaconda (i.e. Python with lots of packages and the fabulous iPython/Jupyter Notebook) does analytics well. In analytics, or "data science" or whatever buzzword, you have to pick your poison: Python, R, or SAS. Python is the only one that's good at doing other things as well.
  • Like visualization...The quality of the built in types of scientific visualization in Python vs. R and their aesthetics is up for grabs. However, Python can do a whole lot of different kinds of visualization above and beyond R. Similarly, JavaScript probably can do more/better visualization than Python, but it's not meant for analytics. Anaconda has enough visualization packages to get you started.
Alexander Lubyansky profile photo

IBM Watson Studio

  • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
  • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
  • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
  • Estimator validation lets data scientists test and prove different models.
Christopher Penn profile photo

Cons

Anaconda

  • It's hard to get security updates when you leave the system packages
  • There're some PyPI packages that Anaconda doesn't have. This obligates the user to package it by herself or using pip
  • Anaconda isn't as fast as PyPI publications
Mauricio Quiroga-Pascal Ortega profile photo

IBM Watson Studio

  • No ability to audit/log activity
  • Difficult to secure
  • No access to underlying infrastructure
  • Poor reliability and performance
  • Machine learning capability too basic/simple and black box nature means it is difficult to validate/trust
  • Limited ability to customise Watson Analytics visualisation
  • Poor support response times
  • Poor native support for Softlayer S3 storage
No photo available

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 profile photo

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
Davide Tognon profile photo

Usability

Anaconda

Anaconda 8.0
Based on 1 answer
It's really good at installing and getting started. It's less usable and configurable after that. If you stay in the ecosystem, and don't know how to Python any other way - it works really well.
Matthew Deakyne profile photo

IBM Watson Studio

IBM Watson Studio 9.4
Based on 2 answers
The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
Isaiah King profile photo

Reliability and Availability

Anaconda

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
Davide Tognon profile photo

Performance

Anaconda

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
Never had slow response even on our very busy network
Davide Tognon profile photo

Support

Anaconda

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
Davide Tognon profile photo

In-Person Training

Anaconda

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
The trainers on the job are very smart with solutions and very able in teaching
Davide Tognon profile photo

Online Training

Anaconda

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
The Platform is very handy and suggests further steps according my previous interests
Davide Tognon profile photo

Implementation

Anaconda

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 7.3
Based on 1 answer
It surprised us with unpredictable case of use and brand new points of view
Davide Tognon profile photo

Alternatives Considered

Anaconda

I prefer Anaconda due to the control I have at every level over the data and the visualizations. Power BI does a better job at guessing what graphics to use, but these usually aren't the most helpful. Anaconda and the slew of Python extensions that add incredible functionality, make it much more powerful without such a steep learning curve as Power BI.
Matthew Deakyne profile photo

IBM Watson Studio

I wanted an environment that can support multiple users without any restrictions. Also, R-Studio does not provide a collaborative environment for multiple users. The Auto feature selection in the SPSS modeler is a good node in DSx which helps make statistical decisions on evaluating what features are relevant. Other products do not have this feature.
No photo available

Scalability

Anaconda

No score
No answers yet
No answers on this topic

IBM Watson Studio

IBM Watson Studio 8.2
Based on 1 answer
It helped us in getting from 0 to DSX without getting lost
Davide Tognon profile photo

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.
No photo available

IBM Watson Studio

  • IBM DSx helped us meet some needs of our business clients
  • Not all business users could fully utilize DSx as they don't have much experience in coding
  • Most Business requirements for a problem were solved
No photo available

Pricing Details

Anaconda

General

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

IBM Watson Studio

General

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

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