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Python

Raisers Edge NXT Python Connector

SQL-based access to Raisers Edge NXT from Python

Easily connect Python-based data access, visualization, ORM, ETL, AI/ML, and custom apps with Raisers Edge NXT!

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CData Drivers now work with AI Coding tools

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

Features

Fully compatible with Raiser's Edge NXT APIs
SQL Stored Procedures to perform actions like adding recurring gifts, updating gift receipts, and updating gift statuses
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 Raisers Edge NXT data, for real-time data access with the Raisers Edge NXT JDBC Driver
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 Raisers Edge NXT Connector.

Specifications

Python Database API (DB-API) Modules for Raisers Edge NXT .
Write SQL, get Raisers Edge NXT data. Access Raisers Edge NXT 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 Raisers Edge NXT

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


Connecting to Raisers Edge NXT with Python

CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with Raisers Edge NXT 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 Raisers Edge NXT
  • Query Raisers Edge NXT to retrieve or update data
  • Connect your Raisers Edge NXT data with Python data tools.


Connecting to Raisers Edge NXT in Python

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

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.

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

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM Event")
	
rs = cur.fetchall()
	
for row in rs:
print(row)
		
engine = create_engine("raisersedgenxt///Password=password&User=user")

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

df.plot()
plt.show()

Visualize Raisers Edge NXT Data with pandas

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

AI-assisted development with CData CLI

Build Raisers Edge NXT integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Raisers Edge NXT schema. No more guessing table names or column types—AI sees the same metadata in your Python Connectors.

Your AI Knows SQL

How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to Raisers Edge NXT.

More Accurate, More Token-Efficient

With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.

Supported AI Coding Tools
Download CData CLI