RStudio vs Sisense

Last Updated:

Our analysts compared RStudio vs Sisense 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.

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.
read more...
Sisense is an end-to-end data analytics platform that makes data discovery and analytics accessible to customers and employees alike via an embeddable, scalable architecture. With a back-end powered by in-chip technology, it allows analysts to blend large datasets from a variety of sources into a single cohesive database for the entire company. On the front-end, users of all technical skill levels can craft visualizations, reports and dashboards to explore and share insights that drive businesses forward. Its AI-driven, cloud-native analytics offering, Fusion, embeds into business workspaces and empowers teams to view key metrics and data insights where they work.

Designed for companies of all sizes, it can be deployed on-premises, as a private cloud-hosted SaaS, as a fully managed SaaS or via a hybrid strategy. It is available via annual subscription pricing and offered in three packages: its main offering BI & Analytics Teams, its embedded analytics component Product Teams and code-driven cloud analytics through Cloud Data Teams.
read more...
$4,975 Annually
Get a free price quote
Tailored to your specific needs
$1,500 Monthly, Freemium
Free Trial is unavailable →
Get a free price quote
Tailored to your specific needs
Small 
i
Medium 
i
Large 
i
Small 
i
Medium 
i
Large 
i
Windows
Mac
Linux
Android
Chromebook
Windows
Mac
Linux
Android
Chromebook
Cloud
On-Premise
Mobile
Cloud
On-Premise
Mobile

Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
Documentation
In Person
Live Online
Videos
Webinars
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support

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. 
read more...
  • Brings Intelligence to Every User: Empower every user with data literacy via access to an intuitive data workflow. Leverage self-service BI to connect, mash up, blend and analyze data in a user-friendly, visual framework that is easy to manipulate. 
  • Optimizes Data Prep: Eliminate barriers between analysts and the data they need to reach answers through single-stack technology. Reduce the time needed for data prep and clean data within the interface without changing any of the original data in its source. Perform error-free analysis with better quality assurance. Incorporate everything from a database to ETL to analysis to visualizations within a single architecture in an end-to-end BI system.
  • Delivers Analysis Quickly: Through its proprietary AI-powered in-chip technology, perform thousands of queries on massive amounts of data and return results at faster speeds with in-memory processing, allowing for more efficient decision making.
  • Keeps Data Secure: Leverage advanced machine learning, detect anomalies in the data and send alerts instantly. Set role-based access restrictions, safeguard sensitive data from users who shouldn’t have access to it, and maintain greater oversight and transparency. Offer scalable data security protocols at the process level, system level, object level and data level to ensure tight security. Incorporate built-in recovery and audit strategies to prevent data loss as well as protect the organization’s audit trails.
  • Uncovers Actionable Insights: Make predictions and business decisions based on facts by analyzing data trends and identifying patterns. Improve business practices, reduce oversight errors, boost ROI and streamline general business efficiency. Utilize smart suggestions to best-match visualizations, uncover patterns and highlight trends in data. Build narratives that facilitate deeper interaction with data, and keep a digital assistant analyst at the ready.
  • Promotes Collaboration: Collaborate with others to share reports and insights on KPIs and goals, while ensuring data security compliance by keeping users on a secure network.
  • Offers Customization: Customize the platform to meet users’ needs via an open API framework. Only pay for features they’ll use and get exactly what they want out of a BI tool.
  • Scalable: Agilely adapt to users’ needs. Minimize costs via reasonable pricing and grow with business. Scale to tens of thousands of users and terabytes of data, while powering complex analysis with in-chip machine learning technology.
  • Provides Insights On-the-Go: Stay connected to data that fuels business decisions even while on the move. Access dashboards on any device and elect to receive notifications and real-time updates.
  • Try Before You Buy: Test it hands-on through a 14-day free trial. 
read more...
  • 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. 
read more...
  • In-Chip Analytics: Free up processing power for other tasks, improve the speed of processing and reduce downtime caused by overworked RAM or disks. Combine a columnar database with smart algorithms in an in-chip cache. Choose between either disk or RAM, rather than solely disk or RAM, as an alternative to in-memory processing.
  • Data Connectivity: Draw from many different data sources and formats with hundreds of built-in connectors with cloud applications such as Zendesk and Salesforce. Drag and drop to import from databases and spreadsheets. Pull directly from CRMs or embed the BI interface into the CRM, providing versatility in workflow options.
  • Data Blending: Blend huge datasets from a range of sources instantly into one centralized location, and receive a holistic view of all data. Investigate further through slicing, dicing and exploration of data via a simple, accessible interface.
  • Data Visualizations: Organize user data into easy-to-understand visualizations like bar charts, scattergrams, pie charts, line graphs, interactive maps, etc. Access a rich library of prebuilt graphics and widgets or open source designs, and easily manipulate them from within an intuitive UI. 
  • Interactive Dashboards: Drag-and-drop to build interactive dashboards that encourage deeper data exploration. Help users to build widgets and filters, and leverage AI-assisted exploration and automatic analysis to provide further insight. 
  • Real-Time Insights: Set up and maintain live connections to data and monitor dashboards in real time. Establish push notification alerts to receive automatic updates when changes to KPIs occur. 
  • Single-Stack System: Perform a range of data preparation tasks, such as exploration, analysis, visualization and collaboration, without needing to switch to other platforms.
  • Publish and Share: Enable everyone in an organization to access and filter information with web-based dashboards. Publish a dashboard with one click and open it to the entire company for easy access without needing to download files.
  • Augmented Intelligence: Leverage Sisense Pulse, powered by machine learning algorithms, to continually monitor KPIs and receive proactive alerts when anomalies and variations are detected. Automate previously manual tasks and data-driven workflows, personalize the BI experience with a tailored command center and deliver a dynamically updated feed that keeps users up to date.
  • Embedded Analytics: Turn data into data products that deliver BI to clients with a white label solution in Product Teams.
  • R Integration: Perform predictive analysis and access better BI reporting and decision-making through R programming language.
  • Add-Ons: Extend the functionality of the platform by downloading and equipping any number of free and premium native and third party extensions from the marketplace.
  • Natural Language Processing: Empower users of all data literacy levels to derive the full value of their insights through natural language generation with Sisense Narratives. Simplify into everyday language the complexities of data analysis for accessibility and easier understanding through AI-generated text-based insights.
  • Mobile BI: Access BI on-the-go directly from iOS and Android phones with a native app that renders mobile-optimized responsive dashboards with touchscreen integration. Alternatively, access the platform through a browser from any laptop, tablet or smartphone, no downloads or installation required.
read more...

Product Ranking

#20

among all
Business Intelligence Tools

#11

among all
Business Intelligence Tools

Find out who the leaders are

Analyst Rating Summary

we're gathering data
80
we're gathering data
82
we're gathering data
49
we're gathering data
100
Show More Show More

Analyst Ratings for Functional Requirements Customize This Data Customize This Data

RStudio
Sisense
+ Add Product + Add Product
Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations And Analysis Mobile Capabilities Platform Capabilities Reporting 82 49 100 100 97 87 93 68 47 83 87 0 25 50 75 100
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
77%
0%
23%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
46%
0%
54%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
100%
0%
0%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
100%
0%
0%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
90%
10%
0%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
77%
0%
23%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
86%
0%
14%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
50%
13%
37%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
43%
0%
57%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
78%
0%
22%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
75%
13%
12%

Analyst Ratings for Technical Requirements Customize This Data Customize This Data

we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
100%
0%
0%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
96%
0%
4%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
86%
0%
14%
we're gathering data
N/A
we're gathering data
N/A
we're gathering data
N/A
88%
13%
-1%

User Sentiment Summary

Excellent User Sentiment 700 reviews
Great User Sentiment 1979 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.

88%
of users recommend this product

Sisense has a 'great' User Satisfaction Rating of 88% when considering 1979 user reviews from 5 recognized software review sites.

5.0 (12)
5.0 (22)
4.5 (485)
4.3 (720)
4.6 (89)
4.5 (357)
4.4 (43)
4.4 (765)
4.4 (71)
4.4 (115)

Awards

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

User Favorite Award

SelectHub research analysts have evaluated Sisense and concluded it earns best-in-class honors for Data Pre-processing.

Data Pre-processing Award

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.
Show more
Customer Service and Support : More than 92% of users mentioning customer support said that responses to their queries were prompt and informative, and that there’s good access to online user communities.
Data Integration: Approximately 92% of users who mention data source integrations express satisfaction with its ability to import, blend and streamline data from multiple sources into a cohesive database.
Data Visualization: Citing stunning dashboards with a range of visually powerful visual tools like widgets, graphs and scattergrams, 85% of users who mention data visualization say it’s a strong feature of Sisense.
Ease of Use: More than 93% of users mentioning the platform’s ease of use praise it as user-friendly, citing self-service BI features such as interactive dashboards and data visualizations.
Cost: Among users who comment on its pricing, more than 85% said that Sisense offers great value for its cost, with some reviews coming from long-time customers.
Show more
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.
Show more
Data Preparation and Modeling: About 50% of users who mentioned data modeling say that it is not as intuitive for non-technical staff, requiring strong IT support.
Training: More than 60% of users who write about learning how to use the platform say that with frequent new releases, a lack of sufficient documentation, coupled with the difficulty of using a programming language make this a tricky tool to master.
Show more

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.

Show more

Users appreciate how Sisense creates large datasets from constantly evolving data sources to be seamlessly streamlined into actionable data, and presented easily in the form of graphs, bar and pie charts, scattergrams, line graphs, interactive maps and many more visualization types. Regarding customer support, users praise their prompt and informative responses - from implementation to handling subsequent queries — as high quality customer service that comes neatly packaged with pricing plans. Users mention that the implementation of this solution, though easy for basic setup, can be quite demanding in terms of scripting and configuration setup, especially for advanced analytics. Non-technical users might find it challenging to set up the data objects - ElastiCubes - without strong IT support. On the front-end, dashboard customization and formatting of visualizations can be tricky as these require basic knowledge of CSS, Javascript and development. Though a large number of users find this solution to be cost-effective, smaller businesses and startups that only need a limited number of licenses might find it expensive. Overall, Sisense is a strong BI solution with strong data capabilities, and its drill-down functionality empowers users to glean insightful and actionable analytics that drive business strategy by aiding in decision-making processes. To maximize its potential, businesses may require strong IT support for implementation and formatting of visualizations. It is certainly worth considering for enterprise BI needs, if the price is right!

Show more

Screenshots

Top Alternatives in Business Intelligence Tools


Cognos Analytics

Domo

GoodData

Grow

Logi Symphony

Looker Studio

MicroStrategy

Oracle Analytics Cloud

Power BI

Qlik Sense

QuickSight

SAP Analytics Cloud

SAS Visual Analytics

Sisense

Spotfire

Tableau

Related Categories

WE DISTILL IT INTO REAL REQUIREMENTS, COMPARISON REPORTS, PRICE GUIDES and more...

Compare products
Comparison Report
Just drag this link to the bookmark bar.
?
Table settings