Announcing the CloudQuery SQLite Destination Plugin
November 11, 2022
SQLite is all the rage these days, and for a good reason. It is an embedded database with no dependencies that can be stored as a file while having a lot of the features of a full relational database, such as SQL-based query language, indexes, data types, etc…
Checkout our docs to see how to configure the SQLite destination plugin.
SQLite use-cases in data integration are infinite, but I'd like to share a few interesting ideas.
If you don't want to run a database or docker, running SQLite as destination will be super performant similar to our CSV destination plugin but with the ability to do complex queries and store everything in one file.
Similar to previous blog posts about how it is possible to scale out ELT workloads with the CSV plugin, you can do the same with SQLite while also enjoying the benefits of a relational database.
Data analysis backend: Given the fact that SQLite is just a file it is easy and performant to actually run various transform workloads from python, or any other language you prefer, as SQLite is supported everywhere. This can also serve as intermediate storage before you load data to a data warehouse for further analysis and visualization.
This user on Hacker News was lyrical about using SQLite for a similar ETL use case.