Businesses and organizations are increasingly challenged to handle the huge volumes of data, both internally generated and acquired from outside sources, that they need to process, store and analyze ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

Next-generation database companies are developing technologies to help businesses manage increasing volumes of data and increasingly complex data types. Not Your Father’s Relational Database The world ...

Google launched a public beta for a new global database service that features both the consistency of the relational model and the scaling and data functionality of NoSQL offerings. Called Cloud ...

Without good technology, all the marketing in the world won’t get a company off the ground and keep it in the air, and conversely, without good marketing and sales, all of the technology in the world ...

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 ...

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 ...

For nearly 30 years, PostgreSQL (a.k.a., Postgres) has arguably been the most common SQL open source database that you have never heard of. Call it the Zelig of databases, its technology either sat ...

Unlike most tech markets, the decades-old global database market keeps growing faster, even as it tops $100 billion in size. The cause? The shift to cloud and attempts to take advantage of AI. Like ...