Home > Business Intelligence Tools > QuickSight > QuickSight vs Orbit Analytics

QuickSight vs Orbit Analytics

Last Updated: November 18th, 2024

Our analysts compared QuickSight vs Orbit Analytics 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.

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Product Basics

Amazon QuickSight is a business intelligence tool that enables organizations to visualize and analyze data, derive insights, and make informed decisions. It empowers users with interactive dashboards, data exploration capabilities, and machine learning-driven insights, making it an ideal solution for businesses seeking to leverage data for better outcomes.

The benefits of Amazon QuickSight include its ease of use, fast performance, and scalability to handle large datasets. Its popular features include natural language querying, automated insights generation, and integration with other AWS services. Compared to similar products, Amazon QuickSight stands out for its affordability, ease of deployment, and robust feature set.

Pricing for Amazon QuickSight is based on a per-user, per-month subscription model. It offers flexible pricing options to accommodate varying business needs, ensuring cost-effectiveness and scalability as organizations grow.

Orbit, which stands for Operational Reporting and Business Intelligence Technology, provides self-service advanced analytics to businesses for on-demand, data-driven decision-making. It pulls data from a wide range of sources, including Microsoft Excel, and enables high-performance data analysis through visualization and reporting. Connecting to more than 200 business applications, it ensures data integrity and security compliance across platforms.

Leveraging R for statistical computing, it empowers businesses to make accurate and timely business decisions.

$5/User, Monthly

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$50,000 Monthly

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Product Insights

Self-Service BI: Get answers to questions and share insights independently through self-service analysis of business data. Connect to data sources, manipulate values to create visualizations, invite others to collaborate and share dashboards and reports — all without the need to install any application.
Multi-Tenancy: Its multi-tenant architecture with namespaces allows vendors to provide data exploration and dashboarding capabilities for multiple applications at the same time. Host multiple clients and add templates created and shared by dashboard authors to the proprietary visualizations library.
Embedded Analytics: Embed dashboard sessions into proprietary software to enhance business with console analytics. Personalize the appearance of visualizations and reports by adding custom fonts, colors and styles. Set defaults and error handling to match the host application for a cohesive feel.
Report Sharing: Stay informed as to how key metrics are performing by scheduling automatic email updates. Ensure secure access to dashboards and email reports by showing only relevant data through targeted reports.
Flexible Pricing: Save on upfront costs and capacity planning through its p ay-as-you-go pricing model for report consumers — people who view dashboards, but don’t create them.
Mobility: Get data insight and forecasting summaries on-the-go through its mobile version, available on both iOS and Android. Drill down into mobile-optimized dashboards and reports for in-depth analysis and filter to view specific metrics, even when away from the office. Share results with others and get email alerts for changes in business data as they happen.
Automate Deployments: Deploy applications at scale, keeping them online for continued access while minimizing downtime. AWS CodeDeploy provides automated app deployments to multiple cloud compute services, such as Amazon EC2, AWS Fargate, AWS Lambda, and on-premise servers. Seamlessly integrates with continuous delivery process pipelines, such as AWS CodePipeline, GitHub and Jenkins.
Promote Data Literacy: Identify key metrics, perform what-if analysis through simple point-and-click actions, discover hidden trends and generate forecasts — without needing any technical skills. Generates dashboard summaries in easy-to-understand language to enable shared understanding of data insights.
Scalable: Its serverless architecture makes it easily scalable, ensuring fast loading of dashboards even during peak traffic. Scales as the organization grows to take on larger loads — no need to set up dedicated servers.
Data Security: Its Enterprise version provides additional security features through permissions-based access to AWS data, row level security, SSO and data encryption. It is FedRamp, HIPAA, PCI PSS, ISO and SOC compliant, keeping with industry best practices.

Improved Business Decisions: Drive innovation, boost efficiencies and increase revenue through better-informed business decisions. Identify opportunities and spot data trends by surfacing accurate and updated information. Analyze past insights to uncover previously undiscovered data relationships and define future strategy.
Data Integration: Connects out-of-the-box to more than 200 applications like Oracle E-Business Suite, MS-Excel, PeopleSoft, Microsoft Office, Taleo, Salesforce and more. Breaks down data silos to aggregate information from a multitude of disparate data sources. Pulls data from cloud-based, on-premise and hybrid databases.
Advanced Analytics: Forecast business trends by using what-if analyses, scenario modeling and decision trees. Discover patterns, relationships and outliers in data to make informed decisions. Pull data from disparate sources for multidimensional predictive analysis through crosstabs and other visualization types.
Ad-Hoc Reporting: Get answers to data questions faster through its intelligent query generator. Gain in-depth, real-time data insights through easy drag-and-drop, filtering and slice-and-dice actions. Add visual context to reporting insights with geospatial data relationships and plan ahead.
Tell Data Stories: Create visually compelling, interactive data visualizations from proprietary information, unifying disparate data sets into one single dashboard. Display complex information through simple visuals like charts, maps and graphs and easily digestible dashboard summaries. Share visualizations with others by embedding into business applications and exporting to PDFs.
Cloud BI: Reduce the cost of ownership through a flexible cloud solution that combines enterprise-class analytics with an autonomous data warehouse. Integrates with existing on-premise and cloud-based data sources to deliver real-time reporting and analytics.
Data Security: Secures data through built-in row and column-level access permissions based on roles. Automatically syncs with business applications and aligns with pre-existing security rules, account profiles and team member roles.
Deploy Anywhere: Deploys on-premise, in the cloud and in hybrid solutions.
Mobility: View and share mobile-optimized dashboards and reports on the go. Create custom reports, or build from more than 1,000 pre-built templates to share business insights with others. Click on dashboard objects like charts and graphs to drill down into proprietary data for deeper insight.

Data Connectivity: Connect to a multitude of cloud-based and on-premise data sources such as Salesforce, JIRA, Github, Teradata, MySQL, SQL Server, Postgres and many more, or upload data from Excel, JSON, CSV and Presto files.
Integrations: Perform predictive data analysis by integrating Amazon Sagemaker ML-based data models with its supported data sources, such as S3, Athena, Redshift, as well as third party sources that include Salesforce and JIRA, among others. Easily integrates with BI tools such as Domo and Tableau for data querying through an intuitively similar SQL interface.
Data Visualization: Create interactive visualizations and reports by choosing from a rich library of graphs, charts and tables. Build dynamic dashboards by interacting with data in real time through drag-and-drop, drill-down and filtering options.
Reporting: Its Enterprise edition provides ad-hoc as well as scheduled reporting to share targeted reports on a daily, weekly or monthly basis. Subscribe to receive reports via email. Creates a custom snapshot of the report based on individual data permissions.
In-Memory Engine: Perform calculations and analyses at the speed of thought by querying through its super-fast parallel in-memory calculation engine, SPICE. Built from the ground up, it prepares data faster by replicating it in memory and updates in real-time as the underlying data changes.
Dashboards: Create data dashboards with 28 supported charts, such as filled maps, histograms, funnel charts, stacked area charts, waterfall charts and boxplots, as well as tables and pivot tables. View information based on business context by sorting on fields not shown in the visualization. Provide report readers with on-sheet controls to slice and dice data by filtering on fields. Offers multiple report layout customization options that include adding drop-downs with single-select or multi-select sorting.
ML-Based Insight: Get in-depth data insights through its out-of-the-box ML and NLP capabilities. Perform queries on data in seconds in simple language through its natural language attribute, Q. It learns from data patterns to provide accurate predictions based on historical trends. Detect anomalies and variations in data aggregates through scheduled anomaly detection.
Localization: Available as a global solution with support for 10 major languages: English, German, Spanish, French, Italian, Portuguese, Japanese, Korean, Simplified Chinese, and Traditional Chinese.

Reporting: Create reports from more than 1,000 pre-built reporting templates or build custom ones. Aggregate data from multiple sources and combine it into pixel-perfect reports. Create document templates within Word and Excel, and then add data and publish in Excel, HTML or PDF formats for sharing.
Integrate with Excel: Upload data as Excel files to perform ad-hoc data analysis through easy drag-and-drop actions. Filter specific data fields or slice and dice to view pertinent business metrics. Or, pull live data directly into Excel from one or more business applications and run multiple reports at the same time.
Data Modeling: Build models through associative querying and aggregation of multi-dimensional data through Star Schema and Snowflake queries. Get data insights from OLAP cubes and third-party data sources with customizable options for deeper analysis.
Metadata Management: Customize, reuse, capture and publish data dimensions, hierarchies, performance metrics, KPIs and report layout parameters. Store key metadata objects separately from application databases, enabling faster retrieval, when needed.
Integration with Python and R: Create analytical models from live data by using R and Python. The R Statistics and Python libraries are embedded within its BI server.

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#373

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Analyst Rating Summary

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User Sentiment Summary

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Orbit Analytics has a 'excellent' User Satisfaction Rating of 95% when considering 4 user reviews from 2 recognized software review sites.

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Synopsis of User Ratings and Reviews

Self-Service Analytics: QuickSight empowers business users to create and customize visualizations, dashboards, and reports without relying on IT or data scientists.

Cloud-Based Platform: QuickSight's cloud-based architecture eliminates the need for costly on-premise infrastructure and provides seamless access from anywhere with an internet connection.

Scalability and Performance: QuickSight handles large datasets efficiently, allowing users to analyze vast amounts of data in real-time.

Easy Integration: QuickSight seamlessly integrates with popular data sources, including Amazon Redshift, Amazon Aurora, and Salesforce, enabling users to access and analyze data from various systems.

Machine Learning Capabilities: QuickSight leverages machine learning algorithms to provide predictive analytics, anomaly detection, and automated insights, empowering users to uncover hidden patterns and make data-driven decisions.

Collaboration and Sharing: QuickSight facilitates collaboration among teams by allowing users to share dashboards, reports, and insights securely.

Free to Use: Orbit is free for everyone to use, which makes it a great option for businesses of all sizes.

Easy to Set Up: Orbit is easy to set up and use, even for users who are not familiar with web analytics. Users have praised the platform for its intuitive design and straightforward implementation process.

Comprehensive Data: Orbit provides a comprehensive view of website traffic, including page views, unique visitors, bounce rate, and more. This data can be used to track website performance and identify areas for improvement.

Customizable Reports: Orbit allows users to create custom reports to track the specific metrics that are most important to them. This flexibility is highly valued by users who need tailored insights.

Pricing Structure: Complicated pricing model that can lead to unexpected costs for advanced features and usage.

Limited Customization: Pre-built dashboards and visualizations may not fully meet specific business requirements, limiting customization options.

Data Connectivity: May not seamlessly integrate with all data sources, requiring additional effort for data preparation and ingestion.

Limited Advanced Analytics: Lacks certain advanced analytical capabilities, such as predictive modeling and machine learning algorithms, which may be essential for deeper insights.

User Interface: Some users find the user interface to be cluttered and not as intuitive as other BI tools, impacting the ease of use.

Sampling Issues: For high-traffic websites, Orbit Analytics may extrapolate data based on a subset, leading to potential inaccuracies in metrics like bounce rate or session duration.

Limited Real-Time Reporting: Orbit Analytics doesn't offer truly real-time data updates, making it less suitable for situations demanding immediate insights, such as monitoring the impact of a flash sale.

Complex Interface: Some users find the interface overwhelming, especially those new to web analytics or accustomed to more user-friendly tools.

Amazon QuickSight has received positive user reviews for its ease of use, intuitive interface, and quick data visualization capabilities. Users find it simple to connect to data sources, create dashboards, and generate insights. The drag-and-drop functionality and pre-built templates make it accessible to users of all technical skill levels. QuickSight's strengths include its integration with other Amazon Web Services (AWS) products, such as Amazon Redshift and Amazon S3, allowing for seamless data analysis. It also offers advanced features like machine learning-powered insights and natural language querying, providing users with deeper analytical capabilities. Compared to similar products, QuickSight is praised for its cost-effectiveness and scalability. Users appreciate its pay-as-you-go pricing model and the ability to handle large datasets without performance issues. However, some users have expressed concerns about the limited customization options and the lack of certain advanced features found in competing products. Overall, Amazon QuickSight is well-suited for businesses and organizations looking for an easy-to-use and affordable business intelligence solution. Its intuitive interface, integration with AWS products, and scalability make it a valuable tool for data visualization, analysis, and decision-making.

Is Orbit Analytics the business intelligence software that will make your insights truly out of this world? Users praise Orbit Analytics for its user-friendly interface, making it easy for even non-techy folks to grasp. They also dig its robust reporting features, which help them whip up insightful reports that actually make sense. One user raved about how Orbit Analytics helped them wrangle a massive dataset into a clear and concise report that impressed higher-ups. However, some users find its predictive analytics capabilities a bit lacking compared to competitors like Tableau or Power BI. They wish it had more advanced forecasting tools to get a better handle on future trends. Overall, Orbit Analytics seems like a good fit for businesses who need a straightforward, user-friendly platform to analyze their data and create reports. If you're looking for cutting-edge predictive analytics, you might want to explore other options.

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