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

Spotfire Data Science

5 Ratings
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Score 7.7 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

Spotfire Data Science

It is great for working in groups on large projects. I like how you can further organize users into ranks and groupings, which is much more powerful than most other programs. I also like that the userface is very collaborative, which allows greater success in data management. It is a little clunky for small projects or where only a few people are concerned
Shelby Bowden 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.
No photo available
  • Collaborative interface that allows multiple people to work on the same project
  • Very user friendly
  • Minimum coding
Shelby Bowden profile photo

Cons

  • Requires dedicated administration.
  • Expensive.
  • Removes some control from end-users (analysts).
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  • The visualization aspect of the program can be a little tricky to figure out. It's great to have options but it will take a bit of practice before your figures start looking the way you want (or that's how it was for me).
  • While younger employees like myself may quickly grasp on to the program, the modern interface is difficult for older employees to navigate and get comfortable with. This isn't a problem until you are trying to collaborate with them and things go awry. Perhaps they just need in-depth tutorials to help expedite their learning process.
  • It can be difficult to connect to other databases to import existing data. It's just not an obvious pathway and required some researching before I got the hang of it.
Abigail Bowden 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
Microsoft Office is a classic. Older employees are much more familiar and comfortable with Office than new cloud-based applications. The drawback to Microsoft Office is it isn't cloud-based, and we end up with countless versions of documents and data all over the place. It becomes difficult to find the latest version of something or find the data organized in one easy to find document.Google Drive is a good bridge from Microsoft Office to the cloud-based (and free) programs. It is less powerful than Office, in most cases, but has been a good transition from hard-drive to cloud based data management.TIBCO Spotfire was a great tool but very powerful with lots and lots of options for data management. It's a great tool, but easy to get lost with. TIBCO Spotfire Data Science is a slightly more specified version with what is needed to data science management. It is great because it's cloud-based, can do much more than Google Drive or Microsoft Office, but is not quite as overwhelming as Spotfire. That's why we chose Data Science.
Abigail Bowden profile photo

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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  • There has been a great increase of productivity because of the saved time and streamlined communication about the projects. For a small company, putting our hours to better use is critical while we are still building the business.
  • Once you get the hang of the interface, it saves time. But it can be a time-sucker if there are technically challenged employees trying to figure it out. Cloud-based applications are often trickier to understand if you're unfamiliar with internet applications to begin with, so in some cases the time spent trying to teach or learn the application is too extensive for there to be a real benefit.
Abigail Bowden profile photo

Pricing Details

Anaconda

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

Spotfire Data Science

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