Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...

Businesses are struggling to cope with and leverage an explosion of complex and connected data. This need is driving many companies to adopt scalable, high performance NoSQL databases - a new breed of ...

Saumya Tyagi discusses modernising NoSQL control planes for global scale, reducing update times by 500x and improving ...

Relational databases may keep old stack workloads, but Morgan Stanley research suggests NoSQL databases will own the next generation of apps The relational database has had an astonishingly good run ...

Most applications need some form of persistence—a way to store the data outside the application for safekeeping. The most basic way is to write data to the file system, but that can quickly become a ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Relational databases have existed for more than 40 years now. They’ve changed little over that period and while they work well, they couldn’t answer the scalability demands of cloud native apps that ...

MongoDB stock has almost doubled in value this year, benefiting from market optimism over a moderating rate environment and surging interest in AI. MongoDB differentiates itself from legacy relational ...