RStudio vs BusinessObjects

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Our analysts compared RStudio vs BusinessObjects 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.

BusinessObjects 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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BusinessObjects is a suite of business intelligence (BI) tools that helps organizations collect, analyze, and visualize data to make better decisions. It's most suited for large enterprises with complex data needs, as it offers a wide range of features and capabilities. Key benefits include improved data visibility, enhanced decision-making, and increased productivity. Popular features include data modeling, reporting, ad hoc querying, and dashboards. User experiences highlight its ease of use, robust functionality, and scalability, though some note its potential for complexity and higher learning curve. Compared to similar products, BusinessObjects often stands out for its comprehensiveness and integration capabilities. Pricing is typically based on a per-user or per-named-user basis, with annual subscription fees.

Pros
  • Easy to use
  • Robust features
  • Scalable
  • Comprehensive
  • Integrates well
Cons
  • Can be complex
  • Steeper learning curve
  • Costly
  • May require training
  • Can be resource-intensive
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$4,975 Annually
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$5,000 Annual
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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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  • Real-Time Analysis: Connects to a range of data sources, including other SAP applications, to deliver real-time data and up-to-the-minute updates, so users are never behind the times. 
  • High-Volume Delivery: Distributes content over a large organization to ensure all users have real-time access to data, visualizations and collaboration. 
  • Extensive SAP Ecosystem: Integrates and connects seamlessly with other SAP tools through built-in APIs. This extends usability and draws data directly from a range of SAP systems. 
  • Self Service: Users of all technical levels can manipulate data, explore trends, create visualizations and share them with others without waiting for a data scientist to deliver insights. 
  • Enterprise-Grade: As one of the largest software providers in the world, it offers a robust solution that can handle the largest, most complex data sets for any size enterprise. 
  • Intuitive Visualizations: Create a variety of intuitive visualizations from data, making patterns and trends more apparent and transferring information more efficiently than numbers or text reports. 
  • Better Business Decisions: Historical patterns and data tracking helps identify trends and make accurate predictions for the future. Make data-driven business decisions and implement proven best practices. 
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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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  • Native Mobile Apps: Take visualization features like charts, reports and more on the go with native iOS and Android apps. 
  • Pre-Built Data Connectors: Draw data from over 25 pre-set sources such as SAP HANA, Apache, Hadoop, Hive, Cloudera, Impala, Amazon, IBM and many more. 
  • Integrations: Provides powerful integration capabilities with other applications such as CRM, ERP, web applications and more. Includes SAP tools and others like the Microsoft Suite. 
  • Data Discovery: Collects, cleans and analyzes data from a variety of sources to help users identify trends and patterns. 
  • Data Transformation: Converts data between formats and structures — organizes and structures unstructured data into usable information. 
  • Visualizations: Generates graphical data visualizations such as bar charts, pie graphs, scattergrams, line plots, maps and more. 
  • Secure Collaboration: Users can securely share visualizations with team members, clients and others through email, web embedding and other platforms. 
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Product Ranking

#20

among all
Business Intelligence Tools

#14

among all
Business Intelligence Tools

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User Sentiment Summary

Excellent User Sentiment 700 reviews
Great User Sentiment 1869 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.

81%
of users recommend this product

BusinessObjects has a 'great' User Satisfaction Rating of 81% when considering 1869 user reviews from 4 recognized software review sites.

5.0 (12)
n/a
4.5 (485)
3.8 (237)
4.6 (89)
4.2 (158)
4.4 (43)
4.2 (722)
4.4 (71)
3.9 (752)

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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Ease of Use: It is a straightforward and easy to use platform, as noted by over 65% of reviewers who mention ease of use.
Flexible Reporting: Around 84% of the reviewers who specify reporting state that it offers a flexible reporting feature to fit individual needs.
Integration: It enables integration with SAP products and third-party software, as observed by 89% of the users referring to integration.
Customization: It provides highly customizable tools and options, as noted by 88% of reviewers who specify customization.
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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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Learning Curve: It involves a steep learning curve for beginners, as stated by 80% of the users mentioning the learning curve.
Implementation: Over 80% of reviewers who discussed implementation report that the process is cumbersome.
Pop-ups: Error messages and pop-ups are technical and hard to decipher, as observed by 100% of reviewers who refer to pop-ups.
Performance: Around 86% of the users who specify performance report that it becomes slow and crashes at times when multiple prompts are opening.
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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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User reviews for BusinessObjects paint a picture of a powerful BI tool with both strengths and weaknesses. On the positive side, users praise its comprehensive features, enabling them to tackle complex data challenges. "It's like a Swiss Army knife for data analysis," one user says, "from basic reports to advanced modeling, it's got it all." This feature depth is often contrasted with simpler competitors, with users appreciating the ability to handle diverse needs without needing multiple tools. However, the learning curve can be steep, especially for non-technical users. "It's not exactly drag-and-drop for beginners," another user admits. This complexity can lead to frustration and require investment in training, which some users find less intuitive compared to competitors. Despite the learning hurdle, many users highlight BusinessObjects' scalability and integration capabilities as its main differentiators. "It seamlessly connects with our existing systems," one user notes, "saving us time and effort." This smooth integration is often lacking in competitors, making BusinessObjects a preferred choice for organizations with complex data ecosystems. Overall, user reviews suggest BusinessObjects is a powerful and versatile BI tool best suited for organizations with complex data needs and the resources to support its learning curve. Its comprehensive features and integration capabilities set it apart, making it a strong contender for those seeking a robust BI solution despite the initial investment required.

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