vertica-python

vertica-python is Vertica’s officially supported, pure-Python client for the Vertica analytics database. It implements the DBAPI 2.0 interface — connections, cursors, parameterized queries, and result iteration — so it plugs into the standard Python database tooling you already know, and it replaced the deprecated vertica_db_client as Vertica’s first official open-source driver.

Beyond basic queries, it supports the features analytics workloads need: TLS-encrypted connections, Kerberos and OAuth authentication, efficient bulk data loading through Vertica’s COPY command (including COPY FROM STDIN), connection load balancing across cluster nodes, and rich type deserialization for Vertica’s data types.

What You Get

• A DBAPI 2.0-compliant connection and cursor API for Vertica
• Parameterized queries with client-side and server-side binding
• Bulk data loading via COPY, including COPY FROM STDIN streams
• TLS encryption plus Kerberos and OAuth authentication options
• Connection load balancing across Vertica cluster nodes

Common Use Cases

• Running analytical SQL queries against Vertica from Python data pipelines
• Bulk-loading large datasets into Vertica with the COPY command
• Connecting BI, ETL, or reporting scripts to a Vertica cluster
• Integrating Vertica into pandas or notebook-based analysis workflows

Under The Hood

Architecture — The package is organized as a top-level vertica_python module wrapping a vertica_python/vertica subpackage that holds the protocol implementation. connection.py manages the TCP session, TLS handshake, authentication, and load balancing; cursor.py implements the DBAPI cursor with query execution and COPY handling; column.py, datatypes.py, and deserializer.py map Vertica’s wire types into Python objects; errors.py defines the exception hierarchy. The client speaks Vertica’s native frontend/backend protocol directly rather than going through ODBC.

Tech Stack — Pure Python supporting 3.8 through 3.13, packaged with setup.py. It has minimal core dependencies, with optional extras (the kerberos package) for Kerberos auth, and uses tox for multi-version test orchestration.

Code Quality — Testing is well developed, split into unit_tests (parsedsn, logging, errors, sql_literal, timestamps) and integration_tests against a real Vertica server, with a Vagrantfile provided to stand one up. As an officially supported vendor client it follows a consistent structure, though recent development activity is low per the repository health signals.

API Design — The surface follows DBAPI 2.0 exactly — connect(), cursor(), execute(), fetch* — so it is immediately familiar to anyone who has used psycopg or sqlite3, and the README documents connection options, COPY usage, and authentication modes clearly. Vertica-specific power features like COPY FROM STDIN are exposed as natural extensions of the standard cursor.