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== Highlights == * Designed from day one to be database administrator friendly. * Storm does not dictate your datamodel. * Designed from day one to work both at the low end, with trivial small databases, and the high end, with applications accessing billion row tables and committing to multiple database backends. * Clean and lightweight API offers a short learning curve and long-term maintainability. * Designed from day one to work both with thin relational databases, such as SQLite, and big iron systems like PostgreSQL, DB2 & Oracle. * Distributed database integrity using two-phase commit (if your Python driver and database backend support it). * Storm lets you efficiently access and update large datasets by allowing you to formulate complex queries spanning multiple tables using Python. * Storm allows you to fallback to SQL if needed (or if you just prefer), allowing you to mix 'old school' code and ORM code |
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/!\ ''Note: viewing the mailing list archives currently requires signing up to the mailing list first!).'' |
What is Storm?
Storm is an object-relational mapper (ORM) for Python developed at Canonical. The project has been in development for more than a year for use in Canonical projects such as [https://launchpad.net Launchpad], and has recently been released as an open-source product.
Highlights
- Designed from day one to be database administrator friendly.
- Storm does not dictate your datamodel.
- Designed from day one to work both at the low end, with trivial small databases, and the high end, with applications accessing billion row tables and committing to multiple database backends.
- Clean and lightweight API offers a short learning curve and long-term maintainability.
- Designed from day one to work both with thin relational databases, such
as SQLite, and big iron systems like PostgreSQL, DB2 & Oracle.
- Distributed database integrity using two-phase commit (if your Python driver and database backend support it).
- Storm lets you efficiently access and update large datasets by allowing you to formulate complex queries spanning multiple tables using Python.
- Storm allows you to fallback to SQL if needed (or if you just prefer), allowing you to mix 'old school' code and ORM code
Documentation
There's a [:Tutorial: tutorial] available. More documentation will come in the near future. Questions are welcome in the mailing list.
- [:Dependencies: Dependencies/Requirements]
- [:Tutorial]
- [:Manual] (soon!)
- Web Framework Integration
[http://divmod.org/trac/wiki/DivmodNevow/Storm Nevow/Twisted] (forthcoming)
License
Storm is licensed under the [http://www.gnu.org/licenses/old-licenses/lgpl-2.1.html LGPL 2.1].
Community
The Storm mailing list is publicly available at:
There is also a #storm IRC channel on irc.freenode.net; stop by and chat!
Development
Development of Storm may be tracked in Launchpad:
The source code may be obtained using [http://bazaar-vcs.org Bazaar]:
bzr branch http://bazaar.launchpad.net/~storm/storm/trunk
Code may be browsed at:
Download
You can find released files at: