teradatasqlalchemy
Teradata SQL Driver Dialect for SQLAlchemy
Decision gist · record as of 2026-08-14
Yes, if you are locked into Teradata and need SQLAlchemy integration. The package is stable (no vulnerabilities), has low install friction, and is widely used. However, the proprietary license is unclear and maintenance is aging (241 days since last release). Verify license terms and test compatibility with your SQLAlchemy and Teradata versions before committing to production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires 64-bit Python 3.4 or later; 32-bit Python is not supported.
- Low friction installation as a pure-Python wheel.
- Maintenance status is aging—last release was 241 days ago—but the package remains actively used (top 5000 on PyPI) and has no known security vulnerabilities.
License · maintenance · safety
Teradata License Agreement (unclear) — Licensed under a proprietary Teradata License Agreement with unclear terms. Users should review the LICENSE file included in the package installation to understand usage restrictions before adopting it in production.
last release 2025-12-16 (241 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 5,176,814 downloads/mo, #2,149 on PyPI
Alternatives
Verify before relying
pip install teradatasqlalchemy
import sqlalchemy
eng = sqlalchemy.create_engine('teradatasql://guest:please@whomooz')- Whether the proprietary license permits commercial use without additional licensing agreements.
- Current state of SQLAlchemy 2.0+ compatibility beyond what release notes indicate.
- Whether 64-bit Python requirement is enforced or advisory.
What it is and what it does
teradatasqlalchemy is a SQLAlchemy dialect that bridges Python applications to Teradata databases. It works by implementing SQLAlchemy's dialect interface, allowing developers to use SQLAlchemy's ORM, Core, and SQL expression APIs against Teradata instead of writing raw SQL. The package depends on sqlalchemy and teradatasql and requires 64-bit Python 3.4 or later on Windows, macOS, or Linux.
The dialect maps Teradata-specific data types—including arrays, vectors, JSON, XML, and temporal types—to SQLAlchemy type objects, and provides Teradata-specific methods like partition_by() and has_table() with datalake support. Recent versions added queryband telemetry tracking, support for views and external tables, and expanded array type coverage. Connection is configured via a teradatasql:// URL scheme with parameters for account, authentication, and connection tuning.
Use it for
- Build Python applications using SQLAlchemy ORM against Teradata without writing native SQL.
- Migrate SQLAlchemy code from other databases to Teradata by swapping the connection dialect.
- Query Teradata tables and views programmatically within data pipelines or ETL workflows.
- Track application usage and performance via queryband telemetry integration with Teradata logs.
- Work with Teradata-specific data types (arrays, vectors, JSON, XML) through SQLAlchemy's type system.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are locked into Teradata and need SQLAlchemy integration.
The package is stable (no vulnerabilities), has low install friction, and is widely used. However, the proprietary license is unclear and maintenance is aging (241 days since last release). Verify license terms and test compatibility with your SQLAlchemy and Teradata versions before committing to production use.
Install
teradatasqlalchemy on PyPI
Before you install
Low friction installation as a pure-Python wheel. Maintenance status is aging—last release was 241 days ago—but the package remains actively used (top 5000 on PyPI) and has no known security vulnerabilities.
Requires 64-bit Python 3.4 or later; 32-bit Python is not supported.
License in practice
Licensed under a proprietary Teradata License Agreement with unclear terms. Users should review the LICENSE file included in the package installation to understand usage restrictions before adopting it in production.
Quickstart
pip install teradatasqlalchemy
import sqlalchemy
eng = sqlalchemy.create_engine('teradatasql://guest:please@whomooz')Verify before relying
- Whether the proprietary license permits commercial use without additional licensing agreements.
- Current state of SQLAlchemy 2.0+ compatibility beyond what release notes indicate.
- Whether 64-bit Python requirement is enforced or advisory.
Package facts
| License | Teradata License Agreement unclear |
| Python support | Supports the current Python release >=3.4 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagessqlalchemyteradatasql |
| Maintenance | Aging 241 days since the last release |
| First released | |
| Downloads | 5,176,814 / month, #2,149 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: Other/Proprietary LicenseOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.4Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Topic :: Database :: Front-Ends |
Evidence: teradatasqlalchemy-20.0.0.9-py3-none-any.whl
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See also teradata · teradataml · teradatasql · sqlalchemy-solr · sqlalchemy-pytds · databricks-sqlalchemy · sqlalchemy_exasol · sqlalchemy-vertica · sqlalchemy-databricks · sqlalchemy-dremio