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 databases have emerged to address the limitations of traditional relational systems when managing massive, heterogeneous datasets generated by modern applications. They dispense with rigid ...

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility, horizontal ...

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 ...

The term “NoSQL” is widely acknowledged as an unfortunate and inaccurate tag for the non-relational databases that have emerged in the past five years. The databases that are associated with the NoSQL ...

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility, horizontal ...

Investors have an appetite for databases, it seems. Today, ScyllaDB, a startup developing database tech for high-throughput, low-latency workloads, announced that it raised $43 million in a funding ...

Google today announced the beta release of Cloud Bigtable, a new managed NoSQL database on the Google Cloud Platform. At the core of the new service is Google’s Bigtable database, which Google ...

Using big data to extract value from your data is one thing. However, using NoSQL can increase your technical debt and put your enterprise at risk of data integrity and the lack of resilience. NoSQL ...