ibm-db-sa
SQLAlchemy support for IBM Data Servers
Decision gist · record as of 2026-08-14
Yes. The adapter is actively maintained, has no known vulnerabilities, installs with low friction, and is the standard way to use SQLAlchemy with DB2. Install it if you need SQLAlchemy ORM support for IBM DB2 databases. The main constraint is that ibm_db must be installed separately and DB2 has some known SQL limitations (documented in the package) that may affect complex queries.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires ibm_db driver 1.0.1 or higher installed separately; SQLAlchemy version between 0.7.3 and 2.0.x; Python 3.8 or newer.
- Low friction installation via pip with only two runtime dependencies (sqlalchemy and ibm_db).
- Repository is actively maintained with recent commits and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-03-18 (149 days) · last repo commit 2026-04-22 · 45 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 473,124 downloads/mo, #6,468 on PyPI
Alternatives
Verify before relying
pip install ibm_db_sa
from sqlalchemy import create_engine
engine = create_engine("db2+ibm_db://user:pass@host:port/database")
connection = engine.connect()
result = connection.execute("SELECT * FROM table")- Whether the adapter supports all SQLAlchemy 2.0.x features or has compatibility gaps with newer versions.
- Performance characteristics and connection pooling behavior under high concurrency.
- Whether logging to file paths with special characters works reliably on all platforms.
What it is and what it does
IBM_DB_SA is a SQLAlchemy dialect that bridges Python applications to IBM DB2 databases. It translates SQLAlchemy's ORM queries and expression language into DB2-compatible SQL, handling connection management, schema reflection, and type mapping. The adapter supports both TCP/IP and local socket connections and includes built-in logging for debugging connection, reflection, and SQL execution issues.
The package integrates with ibm_db, the underlying DB2 driver, and works with SQLAlchemy versions 0.7.3 through 2.0.x. It supports DB2 on Linux, Unix, Windows, Cloud, ZOS, and iSeries platforms. Developers use it to write database code in Python without writing raw DB2 SQL, leveraging SQLAlchemy's portability and ORM features.
Use it for
- Build a web application using SQLAlchemy ORM that persists data to an existing IBM DB2 database without writing raw SQL.
- Migrate application logic from another database to DB2 by swapping the connection string and dialect.
- Debug connection and SQL execution issues in a DB2-backed application using the built-in logging parameter.
- Reflect DB2 schema metadata into Python objects to auto-generate ORM models from an existing database.
- Write data integration scripts that read from DB2 and transform records using SQLAlchemy's query API.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The adapter is actively maintained, has no known vulnerabilities, installs with low friction, and is the standard way to use SQLAlchemy with DB2. Install it if you need SQLAlchemy ORM support for IBM DB2 databases. The main constraint is that ibm_db must be installed separately and DB2 has some known SQL limitations (documented in the package) that may affect complex queries.
Install
ibm-db-sa on PyPI
Before you install
Low friction installation via pip with only two runtime dependencies (sqlalchemy and ibm_db). Repository is actively maintained with recent commits and no known vulnerabilities.
Requires ibm_db driver 1.0.1 or higher installed separately; SQLAlchemy version between 0.7.3 and 2.0.x; Python 3.8 or newer.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install ibm_db_sa
from sqlalchemy import create_engine
engine = create_engine("db2+ibm_db://user:pass@host:port/database")
connection = engine.connect()
result = connection.execute("SELECT * FROM table")Verify before relying
- Whether the adapter supports all SQLAlchemy 2.0.x features or has compatibility gaps with newer versions.
- Performance characteristics and connection pooling behavior under high concurrency.
- Whether logging to file paths with special characters works reliably on all platforms.
Package facts
| License | Apache-2.0 permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagessqlalchemyibm_db |
| Maintenance | Actively maintained 149 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 473,124 / month, #6,468 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersOperating System :: OS IndependentTopic :: Database :: Front-Ends |
Evidence: ibm_db_sa-0.4.4-py3-none-any.whl
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See also ibm-db · sqlalchemy-ibmi · sqlalchemy-jdbcapi · sqlalchemy-databricks · pybigquery · databricks-dbapi · elasticsearch-dbapi · sqlalchemy-hana · sqlalchemy_exasol · sqlalchemy-firebird