Generalized Learning Utilities Database Library

For more GLU, see also SuperGLU

GLUDB provides a simple way to read/write data to some popular datastores like Amazon's DynamoDB and Google Cloud Datastore. We provide:

  • A simple abstraction layer for annotating classes stored in the database
  • Support for versioning by automatically storing change history with the data
  • Automated "indexing", which includes querying on the value of indexes
  • Automated, configurable backup to Amazon's S3 (and Glacier depending on how you configure the S3 buckets)

We support Python 2 (2.7 and greater) and 3 (3.4 and greater). The data stores supported are:

  • sqlite
  • DynamoDB
  • Google Cloud Datastore
  • MongoDB
  • PostgreSQL (version 9.5 and later)

(We also accept pull requests if you would like to contribute a backend.)

Who is this for?

GLUDB is for people who want a document-oriented storage solution, but also want development to be as simple as possible. This is NOT meant to be a replacement for sqlalchemy or Django Models. If you think that you need the full power of a relational database or if you might need advanced functionality, then GLUDB might not be for you. (Although it's open source, so you should feel free to steal what you can use.)

However... this might be the library for you if:

  • You want to be able to switch between MongoDB, Amazon DynamoDB, and/or Google Cloud Datastore (and don't forget sqlite for caching!)
  • You are using PostgreSQL and don't mind storing your objects as serialized JSON objects in PostgreSQL's json columns.
  • You want a dead-simple way to read and write data
  • You don't plan on having tremendously complicated queries
  • You want to keep a history of changes to your objects
  • You want a manual backup/snapshot mechanism to AWS S3
  • You would like an easy to declare fields on your classes, get an __init__ method that handles them for you, and methods to serialize/deserialize your objects.


You can install from PyPI using pip:

pip install gludb

You will also need to install any dependencies you need based on the functionality you want to use:

  • DynamoDB Backend - boto
  • Google Cloud Datastore - googledatastore
  • MongoDB - pymongo
  • PostgreSQL - psycopg2
  • Backups - boto includes these dependencies so that you can install them all at the same time. As an example, you could install gludb and the dependencies needed for PostgreSQL, dynamodb, and backup support into a virtualenv using Python 3 like this:

user@host:~$ virtualenv -p python3 env
user@host:~$ . env/bin/activate
user@host:~$ pip install --upgrade pip wheel
user@host:~$ pip install gludb[postgresql,dynamodb,backups]

You can also view the release notes

The easy intro

To get started, check out the simple interface provided: Using gludb.simple

The basic idea is that you define "fields" in your class with a default value and you annotate your class. GLUDB provides an ID field, a default constructor (__init__ method), functions to serialize/deserialize you class to/from JSON, and data store methods to read/write records. Here a simple example:

from gludb.simple import DBObject, Field, Index
from gludb.config import default_database, Database

class DemoObject(object):
    name = Field('default name')

    def reversed_name(self):
        return ''.join(reversed(

# Perform initial configuration (run at program start up)
default_database(Database('sqlite', filename=':memory:'))
DemoObject.ensure_table()  # You can this every time you start up

# Create a new object with default values in the fields
obj1 = DemoObject()
# Create an object and specify fields
obj2 = DemoObject(name='Bob')
# You can change fields = 'Alice'

# Save objects

# You can use the serialization methods directly
json_data = obj1.to_data()
copy_obj = DemoObject.from_data(json_data)

# You can read the objects back from the database
found = DemoObject.find_one(
# You can find all objects stored
object_list = DemoObject.find_all()
# You can read using your defined indexes
idx_obj = DemoObject.find_by_index('reversed_name', 'ecila')

For further details see Using gludb.simple


Check out the development page and the testing overview