[manigandham]

Many libraries handle db connections poorly, or have heavy-handled pooling systems, or aren't fully async, all of which limits total throughput. The key/value clients usually have a much simpler APIs like HTTP which scale much better.

[ngrilly]

I don't understand. What makes you think it's easier for NoSQL clients (versus SQL clients) to correctly implement connection pooling and async networking? For example, MongoDB and Cassandra wire protocols are not based on HTTP. And even if they were based on HTTP, connection pooling and async networking still requires a specific effort. Which libraries are you thinking of (as examples of good and bad behavior)?

[manigandham]

Relational databases tend to have bigger and more complicated protocols, with more complex session management, data types and parsing requirements, and connections that may only support a single in-flight query.

Libraries just have to do more work, compared to simpler protocols, or HTTP which is incredibly easy to scale and pretty much handled automatically by the standard libraries at this point.

[ddorian43]

Example: psycopg2 (python-postgresql driver) doesn't have (or sucks) prepared statements compared to cassandra driver.

[ngrilly]

Right, but that has nothing to do with connection pooling and sync. And there is no structural reason that makes easier to implemented prepared statements for PostgreSQL than for Cassandra. It's anecdotal evidence.

[ahoka]

I have the exact same experience with npgsql. It's exporting postgres's "one session - one server process" model which is very outdated.