Frontend Frameworks

Enlighten Integration

Code and materials for integrating SAS with analytics technologies in Java, PMML, Python, R.

Status
Not yet determined
Last checked
Unverified
License
Open source
Pricing
Free tier · from $0

What it is

Provides example code and documentation to integrate SAS with other analytics tools like Java, PMML, Python, and R. Useful for developers looking to extend the functionality of their SAS applications.

Enlighten Integration provides comprehensive examples and documentation specifically tailored to integrating SAS with a variety of analytics technologies, making it unique in offering detailed guidance for developers working with multiple languages.

When it fits — and when it doesn’t

A good fit for

  • Development teams needing to integrate SAS with Java, PMML, Python, or R for analytics purposes.

  • Data science professionals who require comprehensive documentation and examples for integrating SAS with other technologies.

Look elsewhere if

  • Projects that do not involve the use of SAS or its integration with other analytics tools.

  • Teams looking for real-time data processing capabilities as this tool focuses on integration rather than real-time processing.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited support for languages beyond Java and Python

    Primary documentation and examples focus heavily on Java and Python, leaving other supported languages like PMML and R with less comprehensive resources.

  2. 02

    Documentation lacks depth in advanced use cases

    While basic integration is well-covered, complex scenarios or performance optimizations are not thoroughly explained.

  3. 03

    Community support and engagement are relatively small

    The open-source community around Enlighten Integration is limited, resulting in fewer contributions and slower resolution of issues.

  4. 04

    Performance bottlenecks when integrating with large datasets

    Users have reported performance degradation when using the tool to integrate SAS with other analytics tools for processing very large datasets.

What it does well

  • Example code for integrating SAS with various analytics technologies.

  • Documentation on best practices and techniques for integration.

  • Supports multiple programming languages including Java, PMML, Python, and R.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Enlighten Integration

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →