AdvancedMiner vs. Posit

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AdvancedMiner
Score 9.0 out of 10
Mid-Size Companies (51-1,000 employees)
Designed to deploy predictive models One tool for data processing, analysis and modeling! The user-friendly workflow interface helps you explore all your data & more. Supports all analytical tasks: Extracting and saving data from/to different database systems, files, and data transformations Performing a wide range of operations on data, such as sampling, joining data-sets, and dividing Building popular statistical models, clustering analysis, variable importance…
$1,399
5 users and above
Posit
Score 9.4 out of 10
N/A
Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.N/A
Pricing
AdvancedMinerPosit
Editions & Modules
AdvancedMiner Elite
1 399
5 users and above
AdvancedMiner Pro
2 399
3-5 Users
AdvancedMiner Server
14 999
Unlimited Users
No answers on this topic
Offerings
Pricing Offerings
AdvancedMinerPosit
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup Fee$2,999 1-2 usersOptional
Additional Details* Server Version has unlimited number of users only limited by your server capacity *Prices are quoted in USD
More Pricing Information
Features
AdvancedMinerPosit
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
AdvancedMiner
-
Ratings
Posit
7.0
26 Ratings
18% below category average
Connect to Multiple Data Sources00 Ratings7.825 Ratings
Extend Existing Data Sources00 Ratings7.026 Ratings
Automatic Data Format Detection00 Ratings6.225 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
AdvancedMiner
-
Ratings
Posit
8.7
26 Ratings
3% above category average
Visualization00 Ratings8.626 Ratings
Interactive Data Analysis00 Ratings8.823 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
AdvancedMiner
-
Ratings
Posit
8.3
25 Ratings
2% above category average
Interactive Data Cleaning and Enrichment00 Ratings8.423 Ratings
Data Transformations00 Ratings8.225 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
AdvancedMiner
-
Ratings
Posit
8.1
21 Ratings
4% below category average
Multiple Model Development Languages and Tools00 Ratings8.121 Ratings
Single platform for multiple model development00 Ratings8.321 Ratings
Self-Service Model Delivery00 Ratings8.018 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
AdvancedMiner
-
Ratings
Posit
9.0
17 Ratings
6% above category average
Flexible Model Publishing Options00 Ratings8.717 Ratings
Security, Governance, and Cost Controls00 Ratings9.415 Ratings
Best Alternatives
AdvancedMinerPosit
Small Businesses
Klipfolio
Klipfolio
Score 8.7 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Alteryx
Alteryx
Score 9.0 out of 10
Mathematica
Mathematica
Score 8.2 out of 10
Enterprises
Alteryx
Alteryx
Score 9.0 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AdvancedMinerPosit
Likelihood to Recommend
9.0
(2 ratings)
9.2
(122 ratings)
Likelihood to Renew
-
(0 ratings)
9.7
(17 ratings)
Usability
-
(0 ratings)
10.0
(3 ratings)
Availability
-
(0 ratings)
9.4
(3 ratings)
Support Rating
-
(0 ratings)
8.9
(9 ratings)
Implementation Rating
-
(0 ratings)
9.3
(4 ratings)
Configurability
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
8.2
(3 ratings)
User Testimonials
AdvancedMinerPosit
Likelihood to Recommend
Algolytics
It can be time-consuming and expensive to visualize data in multi-cloud and on-premise applications. I would recommend my colleagues try this solution in order to collect, model, and visualize data automatically.
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Posit (formerly RStudio)
In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.
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Pros
Algolytics
  • Different model integration, more so the external database analytical procedures.
  • Further, AdvancedMiner helps in developing various statistical options and models, for advanced analysis.
  • AdvancedMiner makes the extraction and the mining of data, a proper solution for wide range performance.
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Posit (formerly RStudio)
  • The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
  • The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
  • Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.
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Cons
Algolytics
  • Nonetheless, AdvancedMiner [does] not focus on large enterprises' data visualization needs.
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Posit (formerly RStudio)
  • Python integration is newer and still can be rough, especially with when using virtual environments.
  • RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
  • Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.
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Likelihood to Renew
Algolytics
No answers on this topic
Posit (formerly RStudio)
There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.
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Usability
Algolytics
No answers on this topic
Posit (formerly RStudio)
I think it's a quick and easy to use tool. The IDE is very intuitive and easy to adapt to. You do not need to learn a lot of things to use this tool. Any programmer and a person with knowledge or R can quick use this tool without issues.
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Reliability and Availability
Algolytics
No answers on this topic
Posit (formerly RStudio)
RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses
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Support Rating
Algolytics
No answers on this topic
Posit (formerly RStudio)
Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.
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Implementation Rating
Algolytics
No answers on this topic
Posit (formerly RStudio)
We did it at the individual level: anyone willing to code in R can use it. No real deployment involved.
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Alternatives Considered
Algolytics
AdvancedMiner creates proper data extraction mechanisms, where storage procedures are also outlined and kept safe. Further, the statistical models are in proper work relationship with AdvancedMiner, which results in results that are accurate and authentic. Further, the complex database analysis from AdvancedMiner allows proper market evaluations and outstanding actionable insights.
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Posit (formerly RStudio)
RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.
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Scalability
Algolytics
No answers on this topic
Posit (formerly RStudio)
RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.
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Return on Investment
Algolytics
  • Self-service capabilities has enabled us to get rid of external data scientists.
  • Workloads has reduced while saving time analyzing data automatically.
  • We have increased time to value.
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Posit (formerly RStudio)
  • Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
  • Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
  • What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).
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ScreenShots

AdvancedMiner Screenshots

Screenshot of Screenshot of Screenshot of

Posit Screenshots

Screenshot of Posit runs on most desktops or on a server and accessed over the webScreenshot of Posit supports authoring HTML, PDF, Word Documents, and slide showsScreenshot of Posit supports interactive graphics with Shiny and ggvisScreenshot of Shiny combines the computational power of R with the interactivity of the modern webScreenshot of Remote Interactive Sessions: Start R and Python processes from Posit Workbench within various systems such as Kubernetes and SLURM with Launcher.Screenshot of Jupyter: Author and edit Python code with Jupyter using the same Posit Workbench infrastructure.