[arjunrc]

This is incredible to see all in one place. I’m preaching SQL to my Org. and it’s only getting preachier over the years, as I see new technologies come and go (OLAP, NoSQL and it’s many variations including Hadoop, Azure Cosmos DB).

For an Org. of our size, I’m not sure if these new fads make it any easier. Even if they helped with data streaming, we still are having to move it to a SQL warehouse where we can combine it with other Org. data to answer business questions. Not sure if anyone has built out a fully operational reporting architecture without using SQL on HN. Long live SQL!

[bob1029]

> I’m preaching SQL to my Org. and it’s only getting preachier over the years

We are all-in on using SQL (SQLite) for our business logic these days. It's wonderful being able to watch the business build most of our customer experiences for us. No more lost-in-translation bullshit exercises between the biz and the tech. Our developers are now mostly tending to the SQL matrix that everyone else works inside of every day. Most of my support issues are along the axis of "Why isnt customer property X showing up in table Y under circumstances Z". We have built a lot of custom tooling so we can quickly answer this question with confidence. 9/10 times the resolution is 1 line in a mapper that needs to be updated somewhere.

For me, SQL only works if the schema is clean and the business can understand why it is constructed in the way that it is. If you were to dump your SQL schema to excel sheets and email it to your project manager, would they have a clue how to piece these things back together or why things are represented the way they are? A well-normalized schema should be intuitive to join together by even non-domain experts. Simply being consistent with naming throughout is 80% of this battle in my mind. When someone says the word "Customer" in context of your SQL schema, everyone on the team should implicitly be on the same page regarding properties and relations around this type.

[ubermonkey]

I'm kind of amazed that SQL needs to be preached about. It works really well! Just pick whatever flavor works best for your org and go forward.

What would you use INSTEAD of SQL?

[ginko]

I've only had contact with DBs during my university years so please bear with me, but at least to me (mostly a systems programmer who played around with functional and logic programming languages) SQL seems, I dunno.. very crude? For instance it seems to me that PROLOG is a lot better at querying/defining relational facts.

Also every time I looked into SQL DBs I felt uncomfortable having to patch together SQL queries as strings and compile them at runtime. Why can't I define a DB schema in my compiled programming language and have it produce a typesafe query that can execute immediately? I know there's wrappers that help you define queries in a typesafe manner, but afaik these still generate query strings in the background.

[errcorrectcode]

Some people think maintaining bank accounts on Mongo would be a good idea.

ACID, locking, referential integrity, SQL (language flavors and RE DBMSes) aren't appreciated, probably due to a lack of CS education.

[grafs50]

I'd love to have the ability to write a direct query plan, for the rare occasion where the query planner does something stupid. But, ya SQL is great for the majority of situations.

[Zababa]

Key-value stores seem easier to reason about for simple use cases.

[errcorrectcode]

OLAP isn't a technology and it didn't go away. That's an approach your and many other orgs have been using for decades to do data warehousing. NoSQLs definitely didn't go away.

The need for denormalized data and data warehousing will never go away.