![]() Here is the equivalent query in GSQL: CREATE QUERY get_all_movies() FOR GRAPH mygraph ) RETURN p.nameħ. Here’s a sample query in Cypher, which matches all Movie vertices (nodes). Once the TigerGraph server and GraphStudio is up and running, you can download the Tigergraph movie database example from here, and follow the README instructions. There are also videos on YouTube which are very helpful. You can download and install TigerGraph’s Developer Edition when you are ready to write some GSQL queries (there is a free trial). So you will be able to view the GSQL code as well as run it to see results from the pre-populated movie database. The corresponding GSQL queries are available as a GraphStudio solution on this GitHub link. The Cypher queries are presented in textual form in this article. Let’s describe how the material is presented here. A proper comparison of the two products is outside the scope of this article. Cypher, on the other hand, relies on Neo4j's APOC Java library for graph algorithms (i.e., graph processing is done outside the database). Classic graph algorithms like cosine similarity, shortest path, community detection, and PageRank can be implemented natively in GSQL, i.e., the graph processing and computation are done inside the database, as the nodes and edges are being traversed in parallel. You can implement the equivalent of a stored procedure for a graph in GSQL. GSQL is a high-level programming language that is Turing complete. Interpreted mode brings dynamism, while compiled mode gives a higher performance the choice is yours per your application needs. The underlying data structures are inherently distributed in design.Ĭypher is an interpreted language (like Java) while GSQL can run both in interpreted and compiled mode ( behind the scene C++ and eventually into native Linux executable code). TigerGraph database not only stores the data distributedly but also processes it in parallel. One major difference is that of MPP (Massively Parallel Processing) TigerGraph is a distributed graph that is both vertically and horizontally scalable. The idea is to provide a bridge for existing Cypher users to GSQL.īoth TigerGraph and Neo4j are native graph databases, but architecturally speaking, there are significant differences between the two products. So, I thought it would be interesting to share an implementation of that movie database in GSQL as a learning resource. It also functions as an Integrated Development Environment (IDE) for GSQL developers, handling everything from schema design to query development and execution.Ī common question from the TigerGraph prospects who know Cypher and want to learn GSQL is “Do you have an example of the movie database from Neo4j?”. There are also a number of videos on YouTube to learn both GSQL and GraphStudio, which is an excellent graph visualization and exploration tool. For that, the definitive place to start is TigerGraph’s documentation site.
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