Reveal
Reveal is a self-service business intelligence software that allows you to embed interactive data visualizations and high-performance analytics dashboards directly into your own applications to drive data-driven decision making.
SAS Viya
SAS Viya is a cloud-native data management and analytics platform that helps you build, deploy, and manage artificial intelligence and machine learning models to solve complex business problems efficiently.
Quick Comparison
| Feature | Reveal | SAS Viya |
|---|---|---|
| Website | revealbi.io | sas.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✓ 30 days free trial | ✓ 14 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 1989 | 1976 |
| Headquarters | Cranbury, USA | Cary, USA |
Overview
Reveal
Reveal is an embedded analytics platform designed to help you integrate powerful data storytelling into your own applications. Instead of forcing your users to switch between different tools, you can provide them with real-time dashboards and data visualizations directly within your software's interface. It simplifies the complex process of connecting to data sources, creating charts, and sharing insights across your organization or with external clients.
You can build beautiful, interactive dashboards using a drag-and-drop interface that requires no specialized coding skills. The platform is built with a cloud-first SDK architecture, making it easy for your development team to deploy across web, desktop, or mobile environments. Whether you are a software provider looking to add value to your product or an enterprise needing internal reporting, Reveal helps you turn raw data into actionable insights without the typical overhead of traditional BI tools.
SAS Viya
SAS Viya is a cloud-native analytics platform designed to help you manage the entire data lifecycle in one place. You can move from raw data to production-ready AI models using a unified interface that supports both visual drag-and-drop tools and popular programming languages like Python and R. This flexibility allows your data scientists and business analysts to collaborate effectively on the same projects.
The platform handles massive datasets with ease thanks to its distributed, in-memory processing engine. You can deploy it on any cloud provider or on-premises environment to maintain control over your infrastructure. By automating repetitive data preparation and model tuning tasks, you can focus on uncovering insights that drive better business decisions and operational efficiency across your entire organization.
Overview
Reveal Features
- Drag-and-Drop Creator Build professional dashboards in minutes using an intuitive visual interface that requires zero coding or technical expertise.
- Native SDKs Integrate analytics into your apps seamlessly with native SDKs for Web, iOS, Android, and desktop platforms.
- Self-Service Analytics Give your users the power to create, edit, and filter their own data visualizations without needing your help.
- Data Connectors Connect instantly to your data wherever it lives, including SQL databases, cloud storage, and popular marketing platforms.
- White-Labeling Match your brand perfectly by customizing colors, fonts, and logos so the analytics look like your own.
- In-Context Editing Switch between viewing and editing modes instantly to tweak your charts and see changes in real-time.
SAS Viya Features
- Visual Data Preparation. Clean and transform your data using an intuitive visual interface that automatically generates code in the background.
- Automated Machine Learning. Build high-quality models faster by letting the system automatically handle feature engineering, algorithm selection, and hyperparameter tuning.
- Model Management. Register, track, and monitor all your analytical models in a central repository to ensure they perform reliably over time.
- Open Language Support. Write code in Python, R, or Lua while still taking advantage of the platform's powerful distributed processing capabilities.
- Real-Time Decisioning. Embed your analytical models directly into business processes to trigger automated actions and responses the moment data arrives.
- Natural Language Generation. Receive automated text explanations of your data visualizations so you can understand the 'why' behind your business trends.
Pricing Comparison
Reveal Pricing
SAS Viya Pricing
Pros & Cons
Reveal
Pros
- Seamless integration with existing application themes and branding
- Highly responsive customer support and technical documentation
- Easy-to-use dashboard creator for non-technical end users
- Fast deployment compared to building custom charting libraries
- Excellent performance when handling large, complex datasets
Cons
- Initial setup of SDKs requires developer involvement
- Limited advanced customization for highly specific chart types
- Pricing can be high for very small startups
SAS Viya
Pros
- Handles extremely large datasets with high performance
- Unified environment for both coding and visual users
- Strong governance features for regulated industries
- Excellent technical support and extensive documentation
- Seamless integration with major cloud providers
Cons
- Higher price point compared to open-source alternatives
- Significant learning curve for the full feature set
- Initial setup and configuration can be complex