![]() ![]() If your aim is to have experience with SQL and any related libraries and frameworks for your language of choice (python, I think?), then it kind of doesn't matter too much which you pick so much. "Fully managed" is the primary reason why developers consider Google Cloud SQL over the competitors, whereas "Lightweight" was stated as the key factor in picking SQLite.Īccording to the StackShare community, SQLite has a broader approval, being mentioned in 313 company stacks & 470 developers stacks compared to Google Cloud SQL, which is listed in 71 company stacks and 28 developer stacks.Ī question you might want to think about is "What kind of experience do I want to gain, by using a DBMS?". Google Cloud SQL can be classified as a tool in the "SQL Database as a Service" category, while SQLite is grouped under "Databases". A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file. SQLite reads and writes directly to ordinary disk files. Unlike most other SQL databases, SQLite does not have a separate server process. ![]() SQLite is an embedded SQL database engine. What is SQLite? A software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. Google Cloud Platform provides you with powerful databases that run fast, don’t run out of space and give your application the redundant, reliable storage it needs. MySQL databases deployed in the cloud without a fuss. What is Google Cloud SQL? Store and manage data using a fully-managed, relational MySQL database. Google Cloud SQL vs SQLite: What are the differences? ![]()
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