AdvancedMiner vs. Shiny

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
Shiny
Score 7.9 out of 10
N/A
Shiny allows users to create data visualization apps, and is designed to be easy to write with. These apps let users interact with data and analyses with R or Python.N/A
Pricing
AdvancedMinerShiny
Editions & Modules
AdvancedMiner Elite
1 399
5 users and above
AdvancedMiner Pro
2 399
3-5 Users
AdvancedMiner Server
14 999
Unlimited Users
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Offerings
Pricing Offerings
AdvancedMinerShiny
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup Fee$2,999 1-2 usersNo setup fee
Additional Details* Server Version has unlimited number of users only limited by your server capacity *Prices are quoted in USD
More Pricing Information
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AdvancedMinerShiny
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Score 9.0 out of 10
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Score 8.2 out of 10
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All AlternativesView all alternativesView all alternatives
User Ratings
AdvancedMinerShiny
Likelihood to Recommend
9.0
(2 ratings)
8.0
(6 ratings)
User Testimonials
AdvancedMinerShiny
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)
Shiny is well suited where an organisation is looking to empower their analysts to minimise time spent on repetitive analysis by deploying repeatable analytical pipelines, but also looking for them to add greater value to the organisation by utilising more advanced analytical techniques. Ideally it is well suited where IT are on board and supportive of some of the more advanced features such as deploying R Shiny dashboards.
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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)
  • Data tables are appealing to look at.
  • Enables us to create trend indexes in an effective way.
  • Easy to integrate with the rest of my R syntax.
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Cons
Algolytics
  • Nonetheless, AdvancedMiner [does] not focus on large enterprises' data visualization needs.
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Posit (formerly RStudio)
  • Easier ways to connect to data sources
  • Better access control for different roles in the organization
  • Video material that allows a better learning experience
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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)
- Faster response working with a large amount of data. - R Studio connection and flexibility. - Scenarios modelling.
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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)
  • We saw a good involvement to researchers when showing their models in shiny.
  • We can have a quicker review from the user when the model is in production.
  • False positives can be found easily and they help the retraining of the model.
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ScreenShots

AdvancedMiner Screenshots

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