CockroachDB vs SQLite: What are the differences?
Developers describe CockroachDB as "A cloud-native SQL database for building global, scalable cloud services that survive disasters". Cockroach Labs is the company building CockroachDB, an open source, survivable, strongly consistent, scale-out SQL database. On the other hand, SQLite is detailed as "A software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine". SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
CockroachDB and SQLite belong to "Databases" category of the tech stack.
According to the StackShare community, SQLite has a broader approval, being mentioned in 314 company stacks & 477 developers stacks; compared to CockroachDB, which is listed in 13 company stacks and 8 developer stacks.
What is CockroachDB?
What is SQLite?
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SQLite is a tricky beast. It's great if you're working single-threaded, but a Terrible Idea if you've got more than one concurrent connection. You use it because it's easy to setup, light, and portable (it's just a file).
In Paperless, we've built a self-hosted web application, so it makes sense to standardise on something small & light, and as we don't have to worry about multiple connections (it's just you using the app), it's a perfect fit.
For users wanting to scale Paperless up to a multi-user environment though, we do provide the hooks to switch to PostgreSQL .
Used during the "build process" of Coolfront Mobile's Flat rate search engine database. Flat rate data that resides in Salesforce is transformed using SQLite into a format that is usable for our mobile Flat rate search engine (AKA: Charlie).
RDBTools is a self-hosted application, and it is important that the installation process is simple. With SQLite, we create a new database file for every analysis. Once the analysis is done, the SQLite file can be thrown away easily.
All the dynamic data (i.e.: jobs) is stored in a simple SQLite database.
Все динамические данные (вакансии) хранятся в простой SQLite БД.