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... 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.
Today, databases are basically siloed — every application has its own. This has many bad implications: redundant infrastructure, honeypots of data with poor security, fragmented data. It also means that every application must have its own database to feed its logic and its interface. The 3 layers — interface, logic, and database — have to be... See more
Danny Zuckerman • Data composability: what it is + why it matters
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.com1/ Context graphs don’t really exist out in the wild today because they require joins across coordinate systems that don't share keys.
Traditional databases solved joins decades ago. You have a customer_id, an order_id, a foreign key relationship. The join is discrete, the keys are stable, the operation is... See more
Animesh Koratanax.com