Of any enterprise technology, enterprises are most dedicated to their chosen database. Once data goes into a particular database, CIOs hate to take it out. It's costly, and the risks often outweigh ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...

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 ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...

Even though MongoDB and Cassandra keep winning converts, enterprises are keeping their RDBMSes around, and will do so for quite some time. NoSQL promised to upend the database market as big data ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...