The next step for Oracle’s Autonomous Database is extending it to JSON document developers at a very competitive price point. It’s a good first step, but Oracle still needs to make yet one ...

Since that time, many data formats that go beyond the relational model have gained popularity. For example, JSON is a common format used in software development and for document-oriented data.

While relational databases rely on rigid ... An intuitive data model that is fast and easy for ... numbers, dates, arrays, or objects. Documents can be stored in formats like JSON, BSON ...

Traditionally, data modeling produces a set of structures for a Relational Database Management System (RDBMS). First, we build the Conceptual Data Model (CDM) to capture the common business language ...

Ever since Oracle extended its self-driving database and aggressively priced it for JSON developers, we've been wondering when they would come out and meet MongoDB developers where they live.

The document store DBMS stores data at the document level using a markup language such as JSON (JavaScript Object Notation) or XML. The document data model makes it easy for developers to store and ...

It includes relational, XML, graph, JSON and key-value data models. News [2020.5.9] Our paper entitled ‘Selectivity Estimation for Relation-Tree Joins’ has been accepted in SSDBM 2020. Cheers!

Aerospike, a company that provides real-time data and hybrid memory for its storage, announced the sixth edition of their database designed for supporting large data flows at extremely high speeds.

Here's how you can use SQL Server's OpenJson function to dismantle JSON structures into relational tables targeting either transactional systems or data warehouses. JSON is great for moving data ...

That makes it impossible to maintain one version of the application and one data model, in the relational database world. ... We could easily design the global data model and database using the ...