Anaconda

Top Rated
33 Ratings
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Score 8.8 out of 101

JMP Statistical Discovery Software from SAS

58 Ratings
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Score 7.6 out of 101

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Likelihood to Recommend

Anaconda

Anaconda is the best solution when you need to make more basic algorithm training. However, when the client necessity if completely new or there're poor libraries, anaconda is too basic.When designing algorithms, I find ai-one to be very useful. Other tools that more suitable than Anaconda for more complex tasks are protege, biffblue and Nervana Neon
Mauricio Quiroga-Pascal Ortega profile photo

JMP Statistical Discovery Software from SAS

It is perfectly suited for statistical analyses, but I would not recommend JMP for users who do not have a statistical background. As previously stated, the learning curve is exceptionally steep, and I think that it would prove to be too steep for those without statistical background/knowledge
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Feature Rating Comparison

BI Standard Reporting

Anaconda
JMP Statistical Discovery Software from SAS
8.4
Pixel Perfect reports
Anaconda
JMP Statistical Discovery Software from SAS
10.0
Customizable dashboards
Anaconda
JMP Statistical Discovery Software from SAS
6.8

Ad-hoc Reporting

Anaconda
JMP Statistical Discovery Software from SAS
7.8
Drill-down analysis
Anaconda
JMP Statistical Discovery Software from SAS
8.2
Formatting capabilities
Anaconda
JMP Statistical Discovery Software from SAS
7.0
Integration with R or other statistical packages
Anaconda
JMP Statistical Discovery Software from SAS
8.9
Report sharing and collaboration
Anaconda
JMP Statistical Discovery Software from SAS
7.0

Report Output and Scheduling

Anaconda
JMP Statistical Discovery Software from SAS
8.9
Publish to Web
Anaconda
JMP Statistical Discovery Software from SAS
10.0
Publish to PDF
Anaconda
JMP Statistical Discovery Software from SAS
8.7
Report Versioning
Anaconda
JMP Statistical Discovery Software from SAS
7.0
Report Delivery Scheduling
Anaconda
JMP Statistical Discovery Software from SAS
10.0

Data Discovery and Visualization

Anaconda
JMP Statistical Discovery Software from SAS
8.9
Pre-built visualization formats (heatmaps, scatter plots etc.)
Anaconda
JMP Statistical Discovery Software from SAS
8.2
Location Analytics / Geographic Visualization
Anaconda
JMP Statistical Discovery Software from SAS
9.3
Predictive Analytics
Anaconda
JMP Statistical Discovery Software from SAS
9.2

Pros

  • Package Management. Some packages are difficult to install on different platforms. This is simplified with Anaconda.
  • Dedicated servers. More control over security.
  • Collaboration. Analysts can interact with and checkout notebooks and datasets.
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  • JMP can handle a seemingly infinite amount of data.
  • The statistical tests included in JMP are all-inclusive.
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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
  • JMP does a lot and can be intimidating for new users. New users and their managers need to understand that it’s unlikely that anyone will use all of JMP's capabilities in their work. Some uses are very limited. But it’s not important how much of the whole JMP product and capabilities you use but rather what use of the product contributes.
  • We have seen time and again where organizations up their game analytically because they are using JMP. Though JMP makes these methods accessible by way of visualization and interactivity, there is still a learning curve involved. For example, JMP does a great job with time series analyses allowing manufacturers to find cyclical patterns that lead to yield hits. Using it in JMP is easy but engineers need to understand the concepts behind it to exploit it.
  • JMP data tables are proprietary and I'm not sure that any other software can open native JMP files. Perhaps some competing products can but I would have to bet that some aspects of the data, particularly saved analyses, table variables and formulas would not come across.
  • JMP Scripting Language (JSL) is incredibly powerful. With it you are actually working with JMP's building blocks in terms of analytics and in terms of how reports and dialogs are put together. I personally think that every JMP user should have some active expertise with JSl but building integrated analytical systems will have to be left to those who have the time and talent to focus on it daily.
  • JMP forces you to change the way you approach analysis and that can be a difficult transition for some but it leads to some powerful capabilities once you make it through. Most analytic tools are focused on the analytic techniques and terms and use those names in their menus. JMP on the other hand, focuses on the data and the questions you’re asking: What is my Y and what’s my X? What’s the relationship between them? This way the emphasis is on the problem at hand, not deciding on a technique for analysis.
Wayne Levin profile photo

Likelihood to Renew

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JMP Statistical Discovery Software from SAS9.9
Based on 15 answers
The software is constantly being upgraded based on industry's needs, and even faster. JMP has been my ‘hands and eyes’ and I can't perform my job function without JMP.
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Usability

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JMP Statistical Discovery Software from SAS2.8
Based on 4 answers
Once you figure out the bells and whistles/ins and outs of JMP, it becomes an intuitive, powerful tool. However, the learning curve is very steep; I think the product might be borderline unusable for those without at least a basic understanding of inferential statistics. However, even if you have a statistics background, the learning curve is still steep due to a confusing user interface, a weak help/search tool (at least within the program for Mac users; the online help is very useful), and a general lack of intuitiveness.
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Support

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JMP Statistical Discovery Software from SAS10.0
Based on 1 answer
The SAS support team came on site to give a presentation to our entire team. They answer questions immediately and provide insight specific to your needs. They also provided a video conference to get me started with the software, which was really useful. There are textbooks written on scripting and JMP usage, which were provided to me as well.
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Online Training

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No answers on this topic
JMP Statistical Discovery Software from SAS7.9
Based on 3 answers
I have not used your online training. I use JMP manuals and SAS direct help.
Mark Davis profile photo

Breadth of Deployment

No answers on this topic
JMP is used across the department, and I imagine that it is used in many departments across the university for research.
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Alternatives Considered

SURA SREENIVASULU profile photo
Minitab, MODE. JMP is more user-friendly, interactive, and visual, with larger variety of analysis and tools. DOE platform itself is superior to any other software, instead of fitting the problem to classical design, the design is fitted to any problem and constraints.
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Collaboration and Sharing

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No answers on this topic
JMP Statistical Discovery Software from SAS4.0
Based on 1 answer
We share JMP files through other file sharing methods, like Google Drive and Dropbox, because the sharing capabilities are not the strongest.
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Return on Investment

  • Centralized repository for all notebooks and analysis projects.
  • Solved for some security concerns from IT.
  • Saves money by avoiding ad-hoc computer resources for analysts.
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  • Faster conversion
  • easy visual analytics
  • Decision making through data became easy
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Screenshots

Anaconda

Pricing Details

Anaconda

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

JMP Statistical Discovery Software from SAS

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