This weekly newsletter from Neo4j discusses recent developments in the graph database community. It highlights a blog post about when a graph database is suitable, the refresh of the Neo4j ETL guide, the release of Neo4j JDBC Driver 3.4.0 with support for new data types, and the summer release of APOC with additional functions. It also summarizes a paper on using Neo4j for blockchain analytics and a blog post about building a graph from metadata in XML files.

1. This Week in Neo4j
11th August 2018

2. Mark Needham
Developer Relations Engineer at Neo4j
mark.needham@neo4j.com / devrel@neo4j.com
@markhneedham
2

3. The week's graph database news
in one handy slide deck!
Find the archive at
neo4j.com/tag/twin4j

4. Featured community member: Michael Graham
Learn more about Michael

5. In this blog post, Jennifer Reif describes different use cases
where a graph database may or may not make sense. If
you’re wondering whether to use Neo4j for your next
project, this post will help you make your decision.
How Do You Know If a Graph Database Solves the
Problem?
To graph or not to graph?

6. Jennifer has also done a complete refresh of the Neo4j ETL
guide. In this guide Jennifer explains how to get up and
running with the Neo4j ETL Tool, and then takes us through
a guided tour of the tool while importing data from a
Postgres database.
Neo4j ETL Guide Refresh
Read the guide

7. Neo4j JDBC Driver version 3.4.0 was released. This version
contains support for the spatial and temporal data types
introduced in Neo4j 3.4. It also has full clustering and
routing support.
Read the release notes
Release #1: Neo4j JDBC Driver

8. Release #2: APOC
This week we also had the summer release of APOC. This
version added support for reverse geocoding in
apoc.spatial, base 64 URL encoding and
decoding, new apoc.diff user functions, and
much more.
Read the release notes

9. Dan McGinn has published a paper titled Towards open
data blockchain analytics: a Bitcoin perspective in which he
describes how to use Neo4j to derive
socially useful information from public
blockchains.
Blockchain Analytics with Neo4j
Read the paper

10. In his latest blog post, Thomas Frisendal shows how to
build a graph data model directly from meta data stored in
XML files.
The Emergence of ”Metadata Science”? Using Graph
Technology for Data Modeling
Read the blog post

11. If you liked this check
out the blog post
This Week in Neo4j - 11th August 2018