pkgdocs/compare/alembic vs pymongo

Comparing

Python

alembic

Database migration tool for SQLAlchemy — tracks schema changes as versioned scripts.

3.8M/ wk
v1.13.2
vs
Python

pymongo

Official MongoDB driver for Python — insert, query, update, and aggregate documents with a Pythonic API.

3.5M/ wk
v4.10.1
Metricalembicpymongo
EcosystemPythonPython
DifficultyIntermediateIntermediate
Weekly downloads3.8M↑3.5M
Latest versionv1.13.2v4.10.1
Recipes22

Tags

alembic only

migrationssqlalchemyschemaorm

Shared

database

pymongo only

mongodbnosqlasync

When to use each

alembic

Any production SQLAlchemy app. Column additions/renames, index creation, constraint changes, data backfills as part of schema migrations.

pymongo

Applications already using MongoDB, document-oriented data (nested objects, variable schemas), rapid prototyping where schema flexibility matters, storing unstructured data like logs or events.

When to skip each

alembic

Non-SQLAlchemy databases (use Flyway, Liquibase, or Django migrations). Throwaway dev DBs where you can afford to drop and recreate.

pymongo

When you need strong ACID transactions across many documents (use PostgreSQL), when your data is highly relational, or when you want an ORM-style interface (use Motor + Beanie for async).

Sample recipes

alembic

  • Set up Alembic in a new project
  • Auto-generate and apply a migration

pymongo

  • Basic CRUD operations
  • Aggregation pipeline