SQL has limitations as it is built on relational concepts and relies on binary joins.
The future of databases is shifting towards relational knowledge graphs, allowing the flexibility to work with various data structures beyond tables.
Businesses are moving towards explicitly modeling busi... See more
Nicolay Geroldtwitter.comSQL has limitations as it is built on relational concepts and relies on binary joins. The future of databases is shifting towards relational knowledge graphs, allowing the flexibility to work with various data structures beyond tables. Businesses are moving towards explicitly modeling business semantics and logic, which are often stored in documents, messages, whiteboards, and various applications. For data analysis, SQL's slicing and dicing capabilities excel, but for detailed processing and graph-type operations, SQL databases fall short. Dynamic environments may benefit from alternatives to SQL.
I've seen a ton of text-to-SQL startups over the last two years - some standalones, some open source, some within big companies.
Most of the evaluations looked like this: "Yes, your model does a good job on four tables [orders, order_items, items, users] with six columns that all have logical names... but we have 1000+ ... See more
Ian Macomberx.com
this is big, after a lot of convos with people the main takeaway is that if i used a db, i dont want to convert my data into a b-tree before i place it in my index,
I want the db itself to be responsible for building the index.
in the future i suspect we'll just have
___LINEB... See more
jason liux.com