schemas a textual language to convey these concepts. You know them, even if you don’t: all data lives in tables tables have columns, and rows are addressable with keys C.R.U.D. In the beginning of our story, back in the ‘70s, there were Codd’s rules, defining what we now call “ relational databases”, also known today as “databases”. In that time, we’ve seen a staggering amount of change in how our software manages data. A Brief History Of Application Databasesĥ0 years is not a long time. But you should consider it, and I’m here to tell you why. I think that for many applications – production applications, with large numbers of users and high availability requirements – SQLite has a better place, in the center of the stack, as the core of your data and persistence layer. The conventional wisdom could use some updating. According to the conventional wisdom, SQLite has a place in this architecture: as a place to run unit tests. It’s what you’re doing when you run an “application server” like Rails, Django, or Remix alongside a “database server” like Postgres. The conventional wisdom of full-stack applications is the n-tier architecture, which is now so common that it’s easy to forget it even has a name. If you can set up a SQLite database, you can get Litestream working in less than 10 minutes. Litestream is an open-source project that makes SQLite tenable for full-stack applications through the power of ✨replication✨. I wrote BoltDB, an embedded database that is the backend for systems like etcd.
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