AWS Graph Notebook

2020: The announcement of AWS Graph Notebook - the tool for work with graph databases

At the end of November, 2020 Amazon Web Services submitted the new project open source of Graph Notebook. It is the tool which allows data processing specialists to analyze and visualize information from graph databases. AWS laid out the code for Graph Notebook on GitHub according to the license Apache 2.0.

Graph Notebook is founded on program components which AWS initially developed for the managed service of the graph Amazon Neptune database. Graph databases are specialized bases in which not only separate records, such as names of clients and cost of purchases, but also interrelations between these records can be stored, for example, what buyer purchased these goods. An opportunity to fix the relations between data is very important therefore graph databases are used for support of mechanisms of recommendations, the systems of cyber security and scientific projects.

Provided to Amazon the open AWS Graph Notebook tool for work with graph databases

Graph Notebook should simplify work with information which is stored in graph databases. Even for experienced data analysis specialists search of patterns among a set of records can be very difficult task, and Graph Notebook simplifies search and the analysis of interrelations between data, in passing allowing to present them in the graphic form using Jupyter Notebook.

Using AWS Graph Notebook data processing specialists will be able to create Jupyter Notebook requests for extraction of a certain subset of information from the database, and then to visualize these data. The tool offers two languages of requests at choice: Gremlin which is widely supported by the main graph databases, and more highly specialized SPARQL. Both languages are specially optimized for data analysis, stored in a graph format. Both are also supported by the managed graph Amazon Neptune AWS databases.^[1][2]

Notes