Sybase IQ Python Connector

Connecting to Sybase IQ with Python

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

Connecting to Sybase IQ in Python

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

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

#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM SybaseTable")
 
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 Sybase IQ Data with pandas

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

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

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

df.plot()
plt.show()

More Than Read-Only: Full Update/CRUD Support

Sybase IQ Connector goes beyond read-only functionality to deliver full support for Create, Read Update, and Delete operations (CRUD). Your end-users can interact with the data presented by the Sybase IQ Connector as easily as interacting with a database table.