Couchbase Python SDK 4.4

from couchbase.cluster import Cluster
from couchbase.auth import PasswordAuthenticator

cluster = Cluster('couchbase://your-ip', authenticator=PasswordAuthenticator('username', 'password'))
bucket = cluster.bucket('default')
coll = bucket.default_collection()


coll.upsert('key', 'value')
get_res = coll.get("key")
print('Get result - value: {}; CAS: {}'.format(get_res.content, get_res.cas))

# Output:
# Get result - value: value; CAS: 1617046112012992512

The Couchbase Python SDK allows Python applications to access a Couchbase cluster. The Python SDK uses the high-performance C++ library Couchbase++ to handle communicating to the cluster over Couchbase’s binary protocols.

Using Your Database

How-to guides to help you start your development journey with Couchbase and the Python SDK.

Getting Started

Transactions

Working with Data

Managing Couchbase

Errors & Diagnostics

Learn

Take a deep-dive into the SDK concept material and learn more about Couchbase.

Data Concepts

Errors & Diagnostics Concepts

Resources

Useful resources to help support your development experience with Couchbase and the Python SDK.

Reference

Project Docs

This page covers using our operational Python SDK to connect to the Analytics Service of a Capella Operational or self-managed Couchbase Server cluster. As well as this row-based analytics service, a speedy, column-based analytics database is available for real-time analytics.

Analytics SDKs

SDKs for Enterprise Analytics — Couchbase’s analytical database for real time apps and operational intelligence (RT-OLAP) — are available for the Go, Java, Node.js, and Python platforms. See the Enterprise Analytics SDK pages for more information.

Currently, different SDKs are needed to connect to Capella Analytics — as this service does not have Enterprise Analytics' load balancer, and uses a different connection protocol. Capella Analytics SDKs (also known as Columnar SDKs) are available for the Go, Java, Node.js, and Python platforms. See the Capella Analytics SDK pages for more information.