>>> from kenobi import KenobiDB  

>>> db = KenobiDB('example.db')  

>>> db.insert({'name': 'Yoda', 'lightsaber': 'green'})  
True  

>>> db.search('lightsaber', 'green')  
[{'name': 'Yoda', 'lightsaber': 'green'}]

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[–] rglullis 4 points 2 weeks ago (1 children)

KenobiDB is designed for small-scale applications and prototypes. While it provides excellent performance for most operations, it is not intended to replace full-fledged databases for high-scale or enterprise-level applications for that you should use MongoDB.

Only MongoDB is webscale...

[–] logging_strict@programming.dev 0 points 2 weeks ago* (last edited 2 weeks ago) (1 children)

Which is stated very clearly.

Not stated, kenobi data engine is limited to only sqlite3. Would pigeon hole yourself unable to switch data engines later on. For that usecase, recommend an ORM (SQLAlchemy).

kenobi looks like a fun project. Not every project needs to be bleeding edge or the bestest. kenobi is a good choice who those who are making a local app that doesn't deal with requests.

[–] rglullis 3 points 2 weeks ago (1 children)

Don't make me explain the joke.

[–] logging_strict@programming.dev 0 points 2 weeks ago (1 children)

Oh! How embarrassing. Gonna pretend i understand the joke and hope no one notices.

Not familiar enough with MongoDB, besides it's not exactly open source

[–] rglullis 4 points 2 weeks ago* (last edited 2 weeks ago)

All you need to understand about MongoDB is that it is webscale, because it doesn't do joins and it has the most kick-ass benchmarks. And sharding.