L A T E S T I N T E L L I G E N C E

When two database technologies share space in the same book title , there ’ s bound to be confusion as to the motives of its writing .

First things first : We didn ’ t write this book to bash relational databases or to criticize a still-valuable technology . Without relational databases , many of today ’ s most mission-critical applications wouldn ’ t run , and without the early innovation of RDBMS pioneers , we would have never gotten to where we are with today ’ s database technology .

Rather , we wrote this book to introduce you – a developer with RDBMS experience – to a database technology that changed not only how we see the world , but how we build the future . Today ’ s business and user requirements demand applications that connect more and more of the world ’ s data , yet still expect highlevels of performance and data reliability .

We believe those applications of the future will be built using graph databases , and we don ’ t want you to be left behind . In fact , we ’ re here to help you through every step of the learning process .

While other NoSQL ( Not only SQL ) databases advertise themselves with inyour-face defiance of RDBMS technology , we prefer to be a helpful resource in helping you add graph databases to your professional skillset .

Relational databases still have their perfect use cases . But for those cases when you need a different solution , we hope this book helps you recognize when – and how – to use a graph database to tackle those new challenges . �

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