Everything you need in data science
October 28, 2022

Everything you need in data science

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Posit

We use Posit to process large amounts of data, both for importing into other systems and after exporting back from them. Other uses cases include performing statistical analysis and creating visualizations. Posit makes it easy to perform complex manipulations on large datasets and automate long complicated processes, saving us a ton of time and removes the potential of human error.
  • Data processing
  • Statistical analysis
  • Libraries for just about every use case
  • Improved debugging tools - breakpoints can be clunky
  • Better generalisation - creating for loops to handle dynamic data can be a pain
  • Garbage collection - when working with large datasets it can be necessary to manage memory yourself
  • Time saved
  • More accurate data
  • Greater reporting capacity
Posit is way way way more reliable than Excel for anything more involved than a quick spreadsheet. Faster speeds, greater charting abilities, flexible functionality and more efficient memory usage. Python is still my go-to for anything that needs integration, but Posit beats it on speed and interactivity. Being able to jump in and out of objects without having to re-compile is a blessing.

Do you think Posit delivers good value for the price?


Are you happy with Posit's feature set?


Did Posit live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Posit go as expected?


Would you buy Posit again?


Posit is well-suited to just about any scenario you can throw at it. Basic data manipulation, statistical analysis, visualizations, machine learning, simulation - there is a function or library out there for everything. It's also lightning fast, which is a blessing when computing large calculations. Less well-suited to Posit is its learning curve - syntax is relatively unique and picking up a new package usually means learning new behaviours.

Posit Feature Ratings

Connect to Multiple Data Sources
Extend Existing Data Sources
Automatic Data Format Detection
Interactive Data Analysis
Not Rated
Interactive Data Cleaning and Enrichment
Data Transformations
Multiple Model Development Languages and Tools
Not Rated
Single platform for multiple model development
Not Rated
Self-Service Model Delivery
Not Rated
Flexible Model Publishing Options
Not Rated
Security, Governance, and Cost Controls
Not Rated