This is the first in a series of blogs for people coming from a relational background, to help you understand the differences in how MarkLogic handles data integration and access.

TL/DR: A number of technologies have been introduced in the past 20 years to address the problems with relational databases. As a true multi-model database, MarkLogic solves the issues of data-integration complexity and scalability while providing data-management

Not surprisingly, 85% of banks cited digital transformation as a key business priority in 2018, according to an EY report.

Why is the banking industry hyperfocused on digital transformation? Over the last decade, global banks have been essentially “treading water,” with the average global bank unable to improve financial performance as indicated by the cost-to-income ratio. The cost-to-income ratio, which is calculated by dividing the operating expenses by operating income, is an

Die unlängst erfolgte Übernahme von Whole Foods durch Amazon brachte mich auf das Thema Kultur und auf die Frage, wie Menschen ihre Daten speichern. Setzt man Datenbits mit Konservendosen gleich, dann speichern die meisten ihre Daten so, wie man es aus dem Supermarkt gewohnt ist: in einer Vielzahl langer Reihen neben- und übereinander. Amazon hingegen bedient sich einer weitaus effizienteren Methode, der so genannten „chaotischen Speicherung“, die das klassische Warenlager-Paradigma (sowohl

As the NoSQL market continues to shake out, MarkLogic has emerged as the only NoSQL database capable of taking on the database incumbents and winning for mission critical enterprise applications. In the last 30+ years, no one has been able to take on the incumbents and win on their own turf, so how are we doing it? Well, there is a lot to it, but here are the most important ways that MarkLogic is beating the incumbents:

1. Empowering the Enterprise
   MarkLogic solves a problem that every