SAP SuccessFactors LMS Python Connector
 

SAP SuccessFactors LMS Python Connector

SQL-based Access to SAP SuccessFactors LMS from Python

Easily connect Python-based Data Access, Visualization, ORM, ETL, AI/ML, and Custom Apps with SAP SuccessFactors LMS!


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Python Connector Libraries for SAP SuccessFactors LMS Data Connectivity. Integrate SAP SuccessFactors LMS with popular Python tools like Pandas, SQLAlchemy, Dash & petl. Easy-to-use Python Database API (DB-API) Modules connect SAP SuccessFactors LMS data with Python and any Python-based applications.

Features

  • Powerful metadata querying enables SQL-like access to non-database sources
  • Push down query optimization pushes SQL operations down to the server whenever possible, increasing performance
  • Client-side query execution engine, supports SQL-92 operations that are not available server-side
  • Connect to live SAP SuccessFactors LMS data, for real-time data access with the SAP SuccessFactors LMS Python Connectors
  • Full support for data aggregation and complex JOINs in SQL queries
  • Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
  • Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the SAP SuccessFactors LMS Connector.

Specifications

  • Python Database API (DB-API) Modules for SAP SuccessFactors LMS .
  • Write SQL, get SAP SuccessFactors LMS data. Access SAP SuccessFactors LMS through standard Python Database Connectivity.
  • Integration with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
  • Full Unicode support for data, parameter, & metadata.


CData Python Connectors in Action!

Watch the video overview for a first hand-look at the powerful data integration capabilities included in the CData Python Connectors.

WATCH THE PYTHON CONNECTOR VIDEO OVERVIEW

Python Connectivity with SAP SuccessFactors LMS

Full-featured and consistent SQL access to any supported data source through Python


  • Universal Python SAP SuccessFactors LMS Connectivity

    Easily connect to SAP SuccessFactors LMS data from common Python-based frameworks, including:


    • Data Analysis/Visualization: Jupyter Notebook, pandas, Matplotlib
    • ORM: SQLAlchemy, SQLObject, Storm
    • Web Applications: Dash, Django
    • ETL: Apache Airflow, Luigi, Bonobo, Bubbles, petl
  • Popular Tooling Integration

    The SAP SuccessFactors LMS Connector integrates seamlessly with popular data science and developer tooling like Anaconda, Visual Studio Python IDE, PyCharm, and more. Real Python,

  • Replication and Caching

    Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.

  • String, Date, Numeric SQL Functions

    The SAP SuccessFactors LMS Connector includes a library of 50 plus functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.

  • Collaborative Query Processing

    Our Python Connector enhances the capabilities of SAP SuccessFactors LMS with additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.

  • Easily Customizable and Configurable

    The data model exposed by our SAP SuccessFactors LMS Connector can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.

  • Enterprise-class Secure Connectivity

    Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

Connecting to SAP SuccessFactors LMS with Python

CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with SAP SuccessFactors LMS from a wide range of standard Python data tools. Connecting to and working with your data in Python follows a basic pattern, regardless of data source:

  • Configure the connection properties to SAP SuccessFactors LMS
  • Query SAP SuccessFactors LMS to retrieve or update data
  • Connect your SAP SuccessFactors LMS data with Python data tools.


Connecting to SAP SuccessFactors LMS in Python

To connect to your data from Python, import the extension and create a connection:

import cdata.sapsuccessfactorslms as mod
conn = mod.connect("[email protected]; Password=password;")

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM Items")
 
rs = cur.fetchall()
 
for row in rs:
print(row)

Once you import the extension, you can work with all of your enterprise data using the python modules and toolkits that you already know and love, quickly building apps that help you drive business.

Visualize SAP SuccessFactors LMS Data with pandas

The data-centric interfaces of the SAP SuccessFactors LMS Python Connector make it easy to integrate with popular tools like pandas and SQLAlchemy to visualize data in real-time. 

engine = create_engine("sapsuccessfactorslms///Password=password&User=user")

df = pandas.read_sql("SELECT * FROM Items", engine)

df.plot()
plt.show()

AI-Assisted Development with CData Code Assist MCP

Build SAP SuccessFactors LMS integrations faster with AI that understands your schema

Supported AI Coding Tools

Cursor
Claude
GitHub Copilot
Gemini
Schema-Aware AI

Code Assist MCP gives AI coding tools direct access to your SAP SuccessFactors LMS schema. No more guessing table names or column types—AI sees the same metadata as your Python Connector.

Same Schema, Same SQL

Table names, column names, and SQL syntax in Code Assist MCP are identical to this Python Connector. Queries you validate with AI work directly in your production code.

From Prototype to Production

Stop guessing. Start shipping. Prototype queries in conversation, validate against live data, then deploy with CData Python Connectors—no rewriting required.

Download Code Assist MCP

Free for development. No trial period. No credit card required.

Popular Python Videos:

Python Connectors, Jupyter Notebook, and pandas