JSON Python Connector
Read, write, and update JSON with Python
Easily connect Python-based data access, visualization, ORM, ETL, AI/ML, and custom apps with JSON!
Python Connector Libraries for JSON Data Connectivity. Integrate JSON with popular Python tools like Pandas, SQLAlchemy, Dash & petl. Easy-to-use Python Database API (DB-API) Modules connect JSON data with Python and any Python-based applications.
Features
Specifications
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 OverviewPython connectivity with JSON
Full-featured and consistent SQL access to any supported data source through Python
Connecting to JSON with Python
CData Python Connectors leverage the Database API (DB-API) interface to make it easy to work with JSON 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 JSON
- Query JSON to retrieve or update data
- Connect your JSON data with Python data tools.
Connecting to JSON 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.json as mod
conn = mod.connect("[email protected]; Password=password;")
#Create cursor and iterate over results
cur = conn.cursor()
cur.execute("SELECT * FROM JSONService")
rs = cur.fetchall()
for row in rs:
print(row)
engine = create_engine("json///Password=password&User=user")
df = pandas.read_sql("SELECT * FROM JSONService", engine)
df.plot()
plt.show()
Visualize JSON Data with pandas
The data-centric interfaces of the JSON Python Connector make it easy to integrate with popular tools like pandas and SQLAlchemy to visualize data in real-time.
More than read-only: full update/CRUD support
JSON 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 JSON Connector as easily as interacting with a database table.
AI-assisted development with CData CLI
Build JSON integrations faster with AI that understands your schema
Schema-aware AI
CData CLI gives AI coding tools access to your JSON 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 JSON.
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.
Popular Python Videos:
