What users are saying about

Anaconda

Top Rated
33 Ratings

Anaconda

Top Rated
33 Ratings
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Score 8.8 out of 101

SAS Enterprise Guide

2 Ratings
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Score 9.3 out of 101

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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

SAS Enterprise Guide

SAS/Enterprise Guide is a great tool to give to an analyst in a company. I call it the swiss knife of analytics. It allows lots of functionalities from the integration of data and transformation to predictive modeling (if you have the Stat module).I recommend it for ad-hoc data querying and manipulations.For ETL processes, I suggest going with a proper ETL software that has data tracability.As for reporting, it will work just fine but don't expect the same levels of customizations and "wow" as reporting softwares such as Tableau.
Mathieu Gaouette profile photo

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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  • Get detailed information about a datasource quickly with built in statistical tasks.
  • Join data from different of different nature from multiple sources (provided you have the associated SAS/Access component).
  • Structure projects with a visual interface and allow dependencies between them. Easy to structure and maintain.
Mathieu Gaouette profile photo

Cons

  • User Interface could be a little bit more clearer.
  • Error messaging can definitely be improved
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  • I would like to see advance interactions with external databases to be able to kill ongoing queries from SAS. As of now, you can stop pretty much any ongoing process besides the one running on a remote database (killing SAS/EG doesn't stop the remote process)
  • When creating prompts for programs, it would be nice to be able to have conditional prompts (based on the selection of other prompts). The prompts are clearly a recent feature and constantly under development but I wish it would be more powerful.
  • More of a SAS metadata issue but when loading SAS/EG (first connection to the server), it takes a few seconds which feels like a long time. I really don't understand why the initialization of the session can take so long. Don't get me wrong, this has no real impact on productivity but that 10s delay just feels really like eternity when you want to run some code in a new session.
Mathieu Gaouette profile photo

Alternatives Considered

Anaconda is the best Python environment because you have all the things you need all in one places, at the reach of your hand. You can download and manage libraries as you wish and is very easy to create new projects and API's for all your stuff.It's Multiplatform so you don't have to take care to use your stuff in another computer. I think it is the best characteristic.
Alejandro Daniel Copati profile photo
I haven't used SPSS myself but from what I was told, integration of data was much more limited and not easy to used.Also, the number of people with SPSS knowledge is less than the number of SAS users so finding workforce can be an issue.The whole SAS solution just made much more sense (more integrated, easier to work with, easier to find people to work with it).
Mathieu Gaouette profile photo

Return on Investment

  • I am using the Opensource
SURA SREENIVASULU profile photo
  • Positive (cost): SAS made a bundle that include unlimited usage of SAS/Enterprise Guide with a server solution. That by itself made the company save a lot of money by not having to pay individual licences anymore.
  • Positive (insight): Data analysts in business units often need to crunch data and they don't have access to ETL tools to do it. Having access to SAS/EG gives them that power.
  • Positive (time to market): Having the users develop components with SAS/EG allows for easier integration in a production environment (SAS batch job) as no code rework is required.
Mathieu Gaouette profile photo

Pricing Details

Anaconda

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

SAS Enterprise Guide

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