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 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.
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 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.
Ironically, the very flexibility of RDBMSs, combined with the high cost for enterprise uses, creates a common business and IT challenge for BI.
Steve Williams • The Profit Impact of Business Intelligence
In a graph database, the relationships between records are stored at the individual record level, while in a relational database, the structure between records is defined at a higher level.
Alexandre Dewez • Roam Research - Let me Introduce you to my Second Brain 🧠
sari added
Introducing Wren Engine
The advent of Trend AI agents has revolutionized the landscape of business intelligence and data management. In the near future, multiple AI agents will be deployed to harness and interpret vast amounts of internal knowledge stored within databases and data warehouses. To facilitate this, a semantic engine is crucial. This e... See more
The advent of Trend AI agents has revolutionized the landscape of business intelligence and data management. In the near future, multiple AI agents will be deployed to harness and interpret vast amounts of internal knowledge stored within databases and data warehouses. To facilitate this, a semantic engine is crucial. This e... See more
Introducing Wren Engine | WrenAI
Nicolay Gerold added
Peter Hagen and added
Robert Gonsalves added
This approach has typically lead to expensive, monster-sized databases that are not designed for a specific purpose and do not perform well.