I'm considering using SQLite as a production database for a site that would receive perhaps 20 simultaneous users, but with the potential for a peak that could be many multiples of that (since the site would be accessible on the open internet and there's always a possibility that someone will post a link somewhere that could drive many people to the site all at once).
Is SQLite a possibility?
I know it's not an ideal production scenario. I'm only asking if this is within the realm of being a realistic possibility.
High write volumes: SQLite allows only one write operation to take place at any given time, which significantly limits its throughput. If your application requires lots of write operations or multiple concurrent writers, SQLite may not be adequate for your needs.
Sqlite is ok for mobile application and small applications but I would avoid it for larger projects. Go for something like MySQL, SQL Server (Windows) or Postgre. SQLite can be really slow in big projects. It depends on what are your wanting to do and what a "large project" in your view is.
One of the main drawbacks of the SQLite system is its lack of multi-user capabilities which can be found in full-fledged RDBMS systems like MySQL and PostgreSQL. This translates to a lack of granular access control, a friendly user management system, and security capabilities beyond encrypting the database file itself.
sqlite packages offer a higher-performance alternative where source compatibility is not an issue. There is no file parsing and generating code to write and debug. Content can be accessed and updated using powerful SQL queries, greatly reducing the complexity of the application code.
SQLite doesn't support any kind of concurrency, so you may have problems running it on a production website. If you're looking for a 'lighter' database, perhaps consider trying a contemporary object-document store like CouchDB.
By all means, continue to develop against SQLite, and you're probably fine to use it initially. If you find your application has more users down the track, you're going to want to transition to Postgres or MySQL however.
The author of SQLite addresses this on the website:
SQLite works great as the database engine for most low to medium traffic websites (which is to say, most websites). The amount of web traffic that SQLite can handle depends on how heavily the website uses its database. Generally speaking, any site that gets fewer than 100K hits/day should work fine with SQLite. The 100K hits/day figure is a conservative estimate, not a hard upper bound. SQLite has been demonstrated to work with 10 times that amount of traffic.
The SQLite website (https://www.sqlite.org/) uses SQLite itself, of course, and as of this writing (2015), it handles about 400K to 500K HTTP requests per day, about 15-20% of which are dynamic pages touching the database. Dynamic content uses about 200 SQL statements per webpage. This setup runs on a single VM that shares a physical server with 23 others and yet still keeps the load average below 0.1 most of the time.
So I think the long and short of it is, go for it, and if it's not working well for you, making the transition to an enterprise-class database is fairly trivial anyway. Do take care of your schema, however, and design your database with growth and efficiency in mind.
Here's a thread with some more independent comments around using SQLite for a production web application. It sounds like it has been used with some mixed results.
Edit (2014):
Since this answer was posted, SQLite now features a multi-threaded mode and write ahead logging mode which may influence your evaluation of its suitability for low-medium traffic sites.
Charles Leifer has written a blog post about SQLite's WAL (write ahead logging) feature and some well-considered opinions on appropriate use cases.
The small excerpt from SQLite website says it all.
Is the data separated from the application by a network? → choose client/server
Many concurrent writers? → choose client/server
Big data? → choose client/server
Otherwise → choose SQLite!
SQLite "just works" (until it doesn't of course)
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