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 ...

The main objective of NoSQL databases is improved efficiency. It is somewhat achieved with the use of new technologies and thinking outside the box. An example of the new technologies applied could be ...

NoSQL is an approach to database management that can accommodate a wide variety of data models, including document, graph, key-value and columnar formats. The term NoSQL originally could be taken at ...

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 ...

Oracle is introducing version 4.0 of its NoSQL database. First introduced in 2011, the Oracle NoSQL Database is a key-value database that evolved from the company's acquisition of BerkeleyDB Java ...

There has been a lot of interest lately in NoSQL databases and, of course, many of us have strong backgrounds and experience in traditional relational "SQL" databases. For application developers this ...

One of the cloud-related trends that developers have been paying attention to lately is the idea of “NoSQL,” a set of operational-data technologies based on nonrelational technology. These ...

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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 ...

DataStax is making its serverless, NoSQL database-as-a-service (DBaaS) Astra DB, built on open-source Apache Cassandra, available in multiple regions across major cloud services providers such as ...

The days of the single source of truth, one database for the entire enterprise, are over. Now even a relatively simple mobile application demands more than one database. The good news is that we have ...

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 ...