What users are saying about
Top Rated
120 Ratings
Top Rated
120 Ratings
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Score 8.8 out of 100
4 Ratings
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Score 6.4 out of 100

Feature Set Ratings

  • Anaconda ranks higher in 5 feature sets: Platform Connectivity, Data Exploration, Data Preparation, Platform Data Modeling, Model Deployment

Platform Connectivity

8.6

Anaconda

86%
6.3

IBM CPLEX Optimization Studio

63%
Anaconda ranks higher in 4/4 features

Connect to Multiple Data Sources

9.0
90%
23 Ratings
8.0
80%
1 Rating

Extend Existing Data Sources

8.7
87%
24 Ratings
6.0
60%
1 Rating

Automatic Data Format Detection

8.5
85%
22 Ratings
6.0
60%
1 Rating

MDM Integration

8.1
81%
15 Ratings
5.0
50%
1 Rating

Data Exploration

8.7

Anaconda

87%
2.5

IBM CPLEX Optimization Studio

25%
Anaconda ranks higher in 2/2 features

Visualization

8.7
87%
25 Ratings
1.0
10%
1 Rating

Interactive Data Analysis

8.6
86%
24 Ratings
4.0
40%
1 Rating

Data Preparation

8.6

Anaconda

86%
5.3

IBM CPLEX Optimization Studio

53%
Anaconda ranks higher in 4/4 features

Interactive Data Cleaning and Enrichment

8.4
84%
24 Ratings
5.0
50%
1 Rating

Data Transformations

8.9
89%
26 Ratings
7.0
70%
1 Rating

Data Encryption

8.6
86%
20 Ratings
7.0
70%
1 Rating

Built-in Processors

8.5
85%
21 Ratings
2.0
20%
1 Rating

Platform Data Modeling

8.7

Anaconda

87%
5.7

IBM CPLEX Optimization Studio

57%
Anaconda ranks higher in 4/4 features

Multiple Model Development Languages and Tools

8.7
87%
23 Ratings
6.0
60%
1 Rating

Automated Machine Learning

8.5
85%
22 Ratings
5.0
50%
1 Rating

Single platform for multiple model development

8.9
89%
24 Ratings
6.0
60%
1 Rating

Self-Service Model Delivery

8.7
87%
19 Ratings
N/A
0 Ratings

Model Deployment

8.3

Anaconda

83%
8.0

IBM CPLEX Optimization Studio

80%
Anaconda ranks higher in 2/2 features

Flexible Model Publishing Options

8.5
85%
21 Ratings
8.0
80%
1 Rating

Security, Governance, and Cost Controls

8.2
82%
20 Ratings
8.0
80%
1 Rating

Attribute Ratings

  • Anaconda is rated higher in 1 area: Support Rating
  • IBM CPLEX Optimization Studio is rated higher in 1 area: Likelihood to Recommend
  • Anaconda and IBM CPLEX Optimization Studio are tied in 1 area: Usability

Likelihood to Recommend

8.6

Anaconda

86%
38 Ratings
9.0

IBM CPLEX Optimization Studio

90%
1 Rating

Likelihood to Renew

7.0

Anaconda

70%
1 Rating

IBM CPLEX Optimization Studio

N/A
0 Ratings

Usability

9.0

Anaconda

90%
2 Ratings
9.0

IBM CPLEX Optimization Studio

90%
1 Rating

Support Rating

8.9

Anaconda

89%
18 Ratings
7.0

IBM CPLEX Optimization Studio

70%
1 Rating

Likelihood to Recommend

Anaconda

As a Data Analyst, it is my job to analyze large datasets using complex mathematical models. Anaconda provides a one-stop destination with tools like PyCharm, Jupyter, Spyder, and RStudio. One case where it is well suited is for someone who has just started his/her career in this field. The ability to install Anaconda requires zero to little skills and its UI is a lot easier for a beginner to try. On the other hand, for a professional, its ability to handle large data sets could be improved. From my experience, it has happened a lot that the system would crash with big files.
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IBM

It is well suited for solving large-sized, mixed-integer, and integer programming problems. Now, the new version supports for Multi-Objective optimization along with some new algorithms such as Benders Decomposition. It is less appropriate for quadratic programming problems where the objective function is the product of multiple variables. However, it's very easy to code any problem.
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Pros

Anaconda

  • It provides easy access to software like Jupyter, Spyder, R and QT Console etc.
  • Easy installation of Anaconda even without much technical knowledge.
  • Easy to navigate through files in Jupyter and also to install new libraries.
  • R Studio in Anaconda is easy to use for complex machine learning algorithms.
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IBM

  • Integer programming.
  • Mixed integer programming.
  • Quadratic programming.
  • Multi-objective optimization.
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Cons

Anaconda

  • Although I have generally had positive experiences with Anaconda, I have had trouble installing specific python libraries. I tried to remedy the solution by updating other packages, but in the end, things got really messed up, and I ended up having to uninstall and reinstall a total of about 4 times over the past 2 years.
  • If you have the free version of Anaconda, there is not much support. Googling questions and error messages are helpful, but there were times when I wished I would have been able to ask technical support to help me troubleshoot issues.
  • There were a few times when I tried to install tensorflow and tensorboard via Anaconda on a PC, but I could not get them to install properly. Anaconda allows you to create 'environments' , which allow you to install specific versions of python and associated libraries. You can keep your environments separate so they do not conflict with one another. Anyway, I ended up having to create several 'conda envrionments' just so I could use tensforflow/tensorboard and a few other utilities to avoid errors. This was somewhat annoying, because every time I wanted to run a specific model, I'd have to open up the specific conda environment with the appropriate python libraries.
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IBM

  • Data handling from different sources like Note Pad, etc.
  • Large size of MILP problems.
  • Various parameters to set.
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Pricing Details

Anaconda

Starting Price

$0

Editions & Modules

Anaconda editions and modules pricing
EditionModules
Commercial Edition14.951
Team Edition10,0002
Enterprise EditionContact for quote3

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up fee?

No setup fee

Additional Details

IBM CPLEX Optimization Studio

Starting Price

$199 Per User Per Month

Editions & Modules

IBM CPLEX Optimization Studio editions and modules pricing
EditionModules
Developer Subscription$199.001

Footnotes

  1. Per User Per Month

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up fee?

No setup fee

Additional Details

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.
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IBM

No answers on this topic

Usability

Anaconda

The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.
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IBM

It's nice to use and with good optimization.
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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.
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IBM

Honestly, to say, I never contacted CPLEX but used its forum to know/clarify any issues I faced.
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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-intuitive Anaconda 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
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IBM

Compared with MATLAB, CPLEX is a more user-friendly and simpler structure for writing models. This one also has a good return on investment.
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Return on Investment

Anaconda

  • Positive: Lower maintenance cost compared to other tools on the market
  • Positive: Ease in hiring professionals already accustomed to the tool in the job market
  • Positive: Projects are portable, allowing you to share projects with others and execute projects on different platforms, reducing deployment costs
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IBM

  • Better for price.
  • Many model parameters/features.
  • No visualization.
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