They definitely target large scale companies, but you can use their SaaS offering and it can be relatively affordable. The best part is the flexibility and scaling, but the license model is awesome too. There's no usage based billing, you just pay a flat license fee per user that writes code and for the underlying cloud costs and they'll deploy it on GCP, AWS, or Azure.
They're used by a lot of large companies, but academia as well to replace or augment on-prem HPC clusters. That's what we used them for as well.
It's a shame that they don't have you writing marketing copy! The docs are indeed a lot more reasonable looking (to me at least). I work for a small proprietary fund and not some Godzilla company these days so maybe I'm just not the audience, but whew, for purchasing decision makers with subject matter background, that home page would have been a back button real fast if it wasn't linked from your thoughtful comment.
I'm interested in your opinion as a user on a bit of a new conundrum for me: for as many jobs / contracts as I can remember, the data science was central enough that we were building it ourselves from like, the object store up.
But in my current role, I'm managing a whole different kind of infrastructure that pulls in very different directions and the people who need to interact with data range from full-time quants to people with very little programming experience and so I'm kinda peeking around for an all-in-one solution. Log the rows here, connect the notebook here, right this way to your comprehensive dashboards and graphs with great defaults.
Is this what I should be looking at? The code that needs to run on the data is your standard statistical and numerics Python type stuff (and if R was available it would probably get used but I don't need it): I need a dataframe of all the foo from date to date and I want to run a regression and maybe set up a little Monte Carlo thing. Hey that one is really useful, let's make it compute that every night and put it on the wall.
I think we'd pay a lot for an answer here and I really don't want to like, break out pyarrow and start setting up tables.
We do discount heavily for academia: get 50% off for research and 100% off (i.e. free) for teaching. But I do get that our pro products largely solve problems that folks encounter in larger enterprises, and you may not see the value inside an academic department. I'm also always happy to learn how we could do better, please feel free to reach out to hadley@posit.co.
Thank you for the response! My key recommendation is to unbundle. At one point we have been told "It got 35% more expensive, but it does so much more now it supports Python" - we didn't ask for Python. To effectively use Connect with private packages you need this other full-blown institutional Package Manager license, 99% of your users will not need. Also per-named-user pricing (rather than per active seat) is so aggressive. A user uses a shiny app once in a year, still need a full per year license.... I feel Posit is one of the most agressive companies in terms of upselling, while positioning as this benevolent PBC / Open-Source institution - just go full Oracle at least we will know where things stand.
Positron looks like the next version of Rstudio, which is currently free. Do you think the plan is to phase out support for the free product and push users into the paid one?
Positron inherits many ideas from RStudio, but is a separate project with an intentionally different set of tradeoffs; it gains multi-language/multi-session support, better configuration/extensibility, etc. but at the expense of RStudio's simplicity and support for many R-only workflows.
We're still investing in RStudio and while the products have some overlap there's no attempt to convert people from one to the other.
I am talking about the RStudio Server and Connect - these are really expensive. One of the sales reps claimed that it is so expensive because they are a PBC and support open-source development. As in if they were just for profit it would be cheaper, but we should feel good about paying more. I could not take it.
ZeroCool2u|7 months ago
This is what we use: https://domino.ai/ The marketing is a bit intense on the website, but the docs are pretty good: https://docs.dominodatalab.com/en/cloud/user_guide/71a047/wh...
They definitely target large scale companies, but you can use their SaaS offering and it can be relatively affordable. The best part is the flexibility and scaling, but the license model is awesome too. There's no usage based billing, you just pay a flat license fee per user that writes code and for the underlying cloud costs and they'll deploy it on GCP, AWS, or Azure.
They're used by a lot of large companies, but academia as well to replace or augment on-prem HPC clusters. That's what we used them for as well.
benreesman|7 months ago
I'm interested in your opinion as a user on a bit of a new conundrum for me: for as many jobs / contracts as I can remember, the data science was central enough that we were building it ourselves from like, the object store up.
But in my current role, I'm managing a whole different kind of infrastructure that pulls in very different directions and the people who need to interact with data range from full-time quants to people with very little programming experience and so I'm kinda peeking around for an all-in-one solution. Log the rows here, connect the notebook here, right this way to your comprehensive dashboards and graphs with great defaults.
Is this what I should be looking at? The code that needs to run on the data is your standard statistical and numerics Python type stuff (and if R was available it would probably get used but I don't need it): I need a dataframe of all the foo from date to date and I want to run a regression and maybe set up a little Monte Carlo thing. Hey that one is really useful, let's make it compute that every night and put it on the wall.
I think we'd pay a lot for an answer here and I really don't want to like, break out pyarrow and start setting up tables.
hadley|7 months ago
i000|7 months ago
sieste|7 months ago
jmcphers|7 months ago
We're still investing in RStudio and while the products have some overlap there's no attempt to convert people from one to the other.
(I work at Posit on both of these products)
i000|7 months ago