Over the last years, Industry 4.0 has set a trend towards a new era of manufacturing. Additive Manufacturing (AM) is a cornerstone of the fourth industrial revolution. It is a technology expected to transform production in nearly every industry. Nonetheless, there are still several production hurdles limiting its widespread adoption, such as process reliability and repeatability. Advanced analytics, which required data, are necessary to overcome these limiting factors. During the AM pipeline, a vast amount of information is generated. To store and manage all this data, the purpose of this thesis is the design and development of a management framework, the first of its type, that allows the collection, storage, analysis, and link of this data, supporting all the steps of the additive manufacturing process from CAD development to 3D print.