Fortunately, graph algorithms are up to the challenge. In this series on graph algorithms, we discussed the value of graph algorithms and what they can do for you. We explored how data connections drive future discoveries and took a closer look at Neo4j's Graph Analytics platform and put its performance to the test. Neo4j offers a reliable and performant native-graph platform that reveals the value and maintains the integrity of connected data. The platform includes advanced graph analytics tools, a growing library of high-performance graph algorithms, and is highly extensible. These algorithms can be called upon as procedures and are customizable through a common graph API. Graph projection is also an extremely handy feature that allows for temporary sub-graphs to be placed into an algorithm when the original graph has the wrong shape or granularity. Neo4j's optimized algorithms yield results up to three times faster than Apache Spark GraphX for certain queries, and can analyze billions of relationships using common equipment in seconds to minutes. The platform is designed to keep computing costs and time investment to a minimum, and offers a growing library of graph algorithms available via the Neo4j Graph Platform.