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Based on our record, Google Cloud SQL seems to be a lot more popular than pgvecto.rs. While we know about 15 links to Google Cloud SQL, we've tracked only 1 mention of pgvecto.rs. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Cloud SQL: managed relational database service for MySQL, PostgreSQL, and SQL Server. - Source: dev.to / 6 months ago
All cloud platforms are going to have a Postgres database support. Google has something called AlloyDB that looks fantastic for reliability and scalability. Cloud SQL is a bit more standard though. Source: about 1 year ago
Google SQL - not familiar with, does it solve the cons above? Source: about 1 year ago
Cloud SQL with MySQL as I can run it locally and know its queries will be expressive enough (where I am uncertain about Firestore, for instance). Source: over 1 year ago
For example, a Cloud Run Container is a provider for Services, whereas a Cloud SQL Server is a provider for databases. The providers are wrapped in parent containers that encapsulate the capabilities of their children. - Source: dev.to / over 1 year ago
Pgvecto.rs adopted a design akin to FreshDiskANN, resembling the Log-Structured Merge (LSM) tree concept. This architecture comprises three components: the writing segment, the growing segment, and the sealed segment. New vectors are initially written to the writing segment. A background process then asynchronously transforms them into the immutable growing segment. Subsequently, the growing segment undergoes a... - Source: dev.to / 3 months ago
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