No, it does not. Furthermore, if you're using an ORM you're not programming in SQL any more. You're using a poor man's Spark. Spark lets you drop down to SQL in all its APIs too.
I don't understand your argument if you're comfortable with ORMs.
I’m not even sure what we are debating. Spark is for big data work, it isn’t something you would typically use as a general purpose database backing your application. My original point way back is that expecting customers to learn an entirely new paradigm for storing and querying data is a poor decision, and limits your work to niche use cases. Spark has a large niche but it isn’t comparable to MySQL / Postgres or other newish data stores like Dynamo.
Furthermore any competent engineer knows SQL because ORMs are cumbersome and annoying for anything except basic use.
Comments
No, it does not. Furthermore, if you're using an ORM you're not programming in SQL any more. You're using a poor man's Spark. Spark lets you drop down to SQL in all its APIs too.
I don't understand your argument if you're comfortable with ORMs.
I’m not even sure what we are debating. Spark is for big data work, it isn’t something you would typically use as a general purpose database backing your application. My original point way back is that expecting customers to learn an entirely new paradigm for storing and querying data is a poor decision, and limits your work to niche use cases. Spark has a large niche but it isn’t comparable to MySQL / Postgres or other newish data stores like Dynamo.
Furthermore any competent engineer knows SQL because ORMs are cumbersome and annoying for anything except basic use.