RStudio vs Infor Birst

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Our analysts compared RStudio vs Infor Birst based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

Infor Birst Software Tool

Product Basics

RStudio is an integrated development environment suite for the R programming language, synthesizing coding tools into one software tool for easier advanced data processing. Using in-memory processing, it is capable of parsing big data through integrations and connections.

It is available in both open-source and commercial formats, with extra features available in the paid edition includes more sophisticated collaboration and security efforts. The free version is capable of end-to-end analytics, from API connectivity and data ingestion to visualization creation and distribution. It can be deployed standalone or on a web browser through connection to RStudio Server.
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Infor Birst is a cloud-based analytics software tool that aims to help users discover insights without the need for analyst input. It unifies IT-managed enterprise data with user-owned data, supporting the blending of both in a top-down and bottom-up manner. It uses consistent business metrics to structure raw data into organized sets and visualizations. It helps users identify patterns and better understand their organization’s KPIs.

It offers a seamless, integrated UI that allows users to perform every step of the data analysis process in a single interface, enabling a smooth experience. It can be deployed either from the cloud or self-hosted on-premise.

Users can purchase it in three available formats: per-user fee, by department or business unit or by end-customer in embedded scenarios.

To explore other popular solutions that Infor offers, visit our Infor company page.
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$4,975 Annually
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$2,500 Monthly, Quote-based
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Product Insights

  • Open-Source or Commercial: Create visualizations and reports from data analysis scripts with the open-source version. Access more advanced features, including deeper security and support with the paid version.
  • Streamlined R Programming: Execute code directly from the source editor by integrating the tools being used into one interface. Supports Git and Subversion for more advanced code writing needs.  
  • Advanced Data Analysis: Investigate trends on a big data scale via integrations for distributed processing, data modeling and predictive analysis. Develop deep analytical insights through R, the premier statistics coding language. 
  • Proprietary R Packages: Get sophisticated ready-to-install R packages comparable with machine learning frameworks to ingest, store, analyze and consume data.  
  • Data Visualization: Easily digest analyzed data through out-of-the-box and integrated visualizations and data consumption deployment vessels using Shiny and ggvis. Create interactive dashboards and charts with drill-down capabilities. 
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  • Scalability on Demand: Prevents data bottlenecks caused by data loads that exceed capacity as business grows by scaling as needed through a multi-tenant architecture across a multi-node environment.
  • Faster Results: Delivers faster analytics across the entire organization by utilizing automated data analysis technology, cloud architecture and reusable metadata.
  • Data Clarity: Promote data clarity and reduce ambiguity by offering unique views into data to help everyone, regardless of technical expertise. Better understand the meaning of individual KPIs via the semantic layer, a set of shared business definitions.
  • Self-Service: Gives employees at all levels of technical skill self-service tools, such as drag-and-drop, to explore, analyze and visualize data through the user-oriented UX.
  • Informed Decisions: Make more data-driven business decisions by better understanding operations. Identify trends in business data by collecting, organizing, exploring and visualizing data.
  • Predict Future Outcomes: Generate actionable insights by leveraging AI to analyze historical data and improve business moving forward.
  • Intuitive Visualizations: Easily interpret trends by cleaning data and building understandable visualizations through machine learning.
  • Networked BI: Builds collective intelligence. Combines IT-managed enterprise data with user-generated data and eliminates data silos, unifying data from every part of an organization.
  • Certified Security: Secures data at every degree of detail, down to the row and column level. Employs strict data security protocols and procedures to protect data in  processes and data centers, which are certified for ISO27001 and SOC II, TYPE II standards and compliant with EU Safe Harbor laws.
  • Free Trial: Try it hands-on via a free trial.
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  • Source Editor: Develop programs in a single console window by synthesizing and integrating all tools in use. Highlight syntax, define functions and complete code in the console.  
  • Web Applications: Publish applications, dashboards and documents to the web with the internally-developed Shiny Server R package. 
  • Flexdashboard: Develop interactive dashboards with JavaScript visualizations, with support for HTML widgets, with this R package. 
  • Launcher: Launch R and Python processes remotely or submit R scripts to compute clusters like SLURM or Kubernetes. 
  • REST API Creation: Develop web API connections with the plumber R package — with as little as a single line of code. 
  • Spark Integration: Integrate seamlessly with Apache Spark to achieve big data analytics through distributed processing and leverage its machine learning capabilities to run more advanced queries.  
  • RStudio Connect: Publish statistical data analyses in the form of visually impactful visualizations, synthesizing all the aforementioned publishing features into one interface.  
  • Data Modeling and Prediction: Powers predictive and prescriptive analytics via connectivity to TensorFlow. Improves the product’s own data modeling capabilities via Tidymodels R package. 
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  • Automated Data Refinement: Automatically merge data from different sources into one user-ready data storage and optimize it for analysis. 
  • Semantic Layer: Boosts trustworthiness of data and reduces data anarchy by adding an agile semantic layer between the user and data. Work with data privately while staying connected to the network via a virtual tenant space.">
  • Real-time Access: Directly query on-premise data sources in real-time, eliminating the need to first extract and then upload data to the cloud.
  • Adaptive UX: Create reports and dashboards without coding knowledge via intuitive drag-and-drop tools. Supports different analytic styles, such as visual discovery, and mobile, and third-party tools such as Excel, R and Tableau. 
  • Reusable Rules: Automatically generates a common architecture based on a reusable set of business definitions without manual intervention.
  • Interactive Dashboards: Explore data even further via interactive dashboards that have drill-down capabilities such as lasso filters.
  • Multi-Tenant Cloud Architecture: Scales vertically and horizontally with a multi-tenant architecture built on a multi-node environment. Speeds insight generation by reducing the overall time spent on repetitive on-premise tasks. 
  • One-Click Data Connectivity: Access existing data with one click via its extensive library of pre-built connectors.
  • Embedded Analytics: Scale with clients’ businesses via flexible deployment options including embedding, APIs and localization capabilities.
  • Machine Learning: Recognizes patterns in data via Smart Analytics and automatically builds visualizations based on predictive analytics. Learns over time, and remembers previous search queries, past visualizations and more.
  • Deployment Options: Deploy as a SaaS through the cloud or go hybrid, keeping data in-house but running analytics through cloud-based servers. Or, deploy through a virtual appliance that delivers all the benefits of a traditional cloud-hosted SaaS while being locally hosted on-premise or in a private-cloud.
  • Mobile App: Access reports and dashboards via its native mobile application for iOS and Android.
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Product Ranking

#20

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#22

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User Sentiment Summary

Excellent User Sentiment 700 reviews
Great User Sentiment 560 reviews
90%
of users recommend this product

RStudio has a 'excellent' User Satisfaction Rating of 90% when considering 700 user reviews from 5 recognized software review sites.

82%
of users recommend this product

Infor Birst has a 'great' User Satisfaction Rating of 82% when considering 560 user reviews from 6 recognized software review sites.

5.0 (12)
4.3 (7)
4.5 (485)
3.9 (92)
n/a
4.08 (49)
4.6 (89)
4.1 (50)
4.4 (43)
4.1 (176)
4.4 (71)
4.2 (186)

Awards

RStudio stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

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Synopsis of User Ratings and Reviews

Data analysis: Around 96% of users who reviewed data analysis said that the platform had strong machine learning and data analysis capabilities.
Functionality: Approximately 86% of users who mentioned functionality said that the tool had a wide range of powerful features for efficient data visualization and analysis.
Ease of Use: The interface was user-friendly and easily navigable, according to 74% of users who reviewed this feature.
Cost: About 93% of users who mentioned pricing said that the open source version of the platform was a definite plus.
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Data Integration: About 80% of users who mentioned its data integration capabilities said that the platform, powered by built-in connectivity tools, connected well to many types of data sources.
Data Visualization: Approximately 81% of users who reviewed visualization said that the tool provided attractive and intuitive data presentation options for at-a-glance data analysis and trend charting.
Ease of Use: The platform was user-friendly and intuitive, according to around 77% of users who reviewed the interface.
Functionality: Approximately 68% of users who reviewed functionality said that the platform provided strong capabilities to streamline preparation and consumption of data for developers and end users alike.
Data Management: Automated data warehouse creation made data modeling a breeze, around 65% of users who reviewed the platform’s data management system said.
Setup: Around 69% of users who mentioned implementation said that the solution being cloud-based, coupled with excellent onboarding support from the vendor, made deployment easy.
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Performance: The tool used up a lot of memory and slowed down when processing large amounts of data, around 88% of users who mentioned its performance said.
Steep Learning Curve: Approximately 73% of users said that it was challenging to work with the platform without previous knowledge of R and that the syntax was difficult to learn.
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Performance: Approximately 87% of users who reviewed the platform’s performance said that it was slow and inconsistent in data processing and data refresh.
Learning Curve: About 81% of users who mentioned the learning curve said that documentation was often insufficient and incorrect, and that the platform’s use of proprietary language made the learning curve quite steep.
Service and Support: About 46% of users who reviewed this feature said that support was poor and turnaround times were painfully long, extending up to several months.
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RStudio is a powerful web- and cloud-based BI platform with excellent statistical analysis and data science capabilities. Integrating with cloud computing technologies, the platform has good machine learning capabilities to power data analysis by providing a wide range of features for data recovery, presentation and interpretation. It provides rich built-in visualization libraries with pre-set charts and functions that drastically reduce the need to code. Many users who reviewed its UI said that the interface was user-friendly and easy to navigate, though some users said that it looked dated and could do with an upgrade. Quite a few users who reviewed the platform for data analysis said that it was easy to run statistical and regression tests with minimal coding, and coupled with an open-source server, this platform served their data needs well. On the flip side, many users who reviewed the tool for performance said that it consumes a lot of memory and lags behind its competitors in speed. Quite a lot of users mentioned that the platform could be buggy at times and was prone to crashes, possibly because some libraries were not optimized for performance with large datasets. Many users found it confusing to access the open-source version, especially since separate versions of the platform work differently with some library packages. Some users complained that the code run, once started, could not be stopped and the stop button on the interface didn’t work. A majority of users who reviewed the learning curve as a feature said that the help section was difficult to understand and previous knowledge of R was required to leverage the tool to its fullest. In summary, RStudio is a versatile and extensible BI tool powered by machine learning and is capable of insightful statistical data analysis and forecasting capabilities.

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Infor Birst is an integrated cloud-based end-to-end solution for sourcing raw data, and extracting, warehousing and reporting for enterprise data analysis. With built-in tools for data integration and strong embedded analytics capabilities, users leverage its data visualization capabilities to create and share metric-specific dashboards and reports. Users who reviewed data management said that automated data warehouse creation was a strong feature of the platform, as well as its user-friendly interface. Many users who reviewed its functionality said that, equipped with a powerful ETL and efficient ODBC drivers for integration, the platform was flexible and scalable with a multitude of features for data discovery and analysis. Around 69% of users who reviewed ease of implementation said that deployment was easy with the integrated cloud platform, though some users said that the setup processes were unclear and they required in-house IT support for onboarding. On the flip side, users who mentioned performance said that the speed of data processing and data refresh was slow and this impacted report generation capabilities. Documentation was inconsistent and often incorrect, and the use of proprietary query language made the learning curve quite steep, many users who reviewed this feature said. Support turnaround times were woefully long, even extending up to several months as reported by a number of users. Some users who reviewed functionality said that the code was buggy and the platform stalled often when processing data for ad-hoc reporting. Many users complained that these bugs were not addressed for years, and new releases often impacted pre-existing features. Possibly because of its performance issues with large amounts of data, quite a few users rate it as a good BI tool for small and midsize companies that require less complex data analysis, rather than larger enterprises. In summary, Infor Birst is a BI ecosystem with a networked approach to data visualization and predictive analytics that eliminates data silos and serves as a single source of truth for enterprise data.

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