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What is Jenner?

Jenner serves as an analytics platform that seamlessly integrates with SAS, enabling organizations to run their pre-existing SAS programs—including the DATA step, macro language, PROC SQL, and a total of 230 documented procedures—without requiring a SAS license. Built using Rust, this platform features a clean-room implementation of the SAS 9.4 language and is compatible with multiple operating systems, including Windows, macOS, and Linux. By allowing organizations to execute current programs without any modifications, Jenner significantly reduces the financial strain often associated with moving away from SAS. The platform is accessible in three distinct environments, each with its unique billing model: it can be utilized through a shared JupyterLab workspace online (beginning with a free tier followed by custom pricing), installed as a native application on personal devices (with options for free use or an annual fee of 199 USD), or operated via HTTP for pipelines and agents (also starting with a free tier and subsequent pricing arrangements). In addition, Jenner provides comprehensive reference documentation for all 230 procedures across 16 languages, enhancing accessibility for a wide range of users. This versatile strategy positions Jenner as an appealing solution for organizations aiming to maximize their existing SAS functionalities without the usual licensing expenses, offering a practical pathway to modern analytics. As such, it reflects a significant advancement in the realm of data analytics integration.

What is ACE4J?

ACE4J, the Adaptive Calculation Engine for Java, provides a reliable means of converting Excel-based applications into web formats, ensuring cost-effectiveness and simplifying long-term maintenance and support. It boasts a modern formula language built on a robust calculation framework, adept at managing complex Excel formulas with remarkable ease. This capability positions it as an ideal choice for Java web applications that require significant computational power. Specifically designed as a Java API, ACE4J interprets formulas in the Microsoft Excel style and encompasses a comprehensive set of commonly used Excel functions, making it suitable for applications that rely on heavy calculations. Each iteration of the Adaptive Calculation Engine broadens the scope of available formulas and features, incorporating user insights and boosting its functionality. Moreover, the engine can efficiently process thousands of formulas within seconds, highlighting its exceptional performance and efficiency. This impressive speed and versatility render ACE4J an essential tool for developers aiming to enhance their applications effectively. As technology evolves, ACE4J continues to adapt, guaranteeing its relevance and utility in the ever-changing landscape of software development.

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Integrations Supported

Microsoft 365
Microsoft Excel

Integrations Supported

Microsoft 365
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

Free tier; Mac app $199/year
Free Version
Free Trial Offered?

Pricing Information

$2,999 one-time payment
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Jenner Analytics

Company Website

jenneranalytics.com

Company Facts

Organization Name

ACE4J

Date Founded

2003

Company Location

United States

Company Website

javacalculationengine.com

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Categories and Features

Mobile App Development

Access Controls / Permissions
Any App Development Language
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Drag and Drop Editor
Enterprise Mobility (EMM/MAM)
FaceID and TouchID
For Consumer Apps
For Enterprise Apps
Integration Options
Mobile App Security
Multi-Factor Authentication (MFA)
Multiple Apps from Same Base
No Dependencies
No-Code
Reporting / Analytics
Single Sign-On (SSO)
Source Control
Visual Editor

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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