What Are the Major Advantages of Using a Graph Database?
A graph database is a data management system software. The building blocks are vertices and edges. To put it in a more familiar context, a relational database is also a…
Evaluating Graph Solutions for Apache Spark
Apache Spark is a popular general-purpose cluster-computing framework. An important addition to that framework is graph technology, which is rapidly growing in popularity as it proves its value across an…
‘+=’ As The Key That Unlocks The Power of the Network
My job as a TigerGraph SE is to help a prospective customer solve their problems using our product. We are unusually successful, even though we are not yet as well-known…
Just a Key-Value Problem? How Graph Reduces Memory Consumption, Accelerates Performance and Overcomes Problems with Key-Value Databases
Key-value databases have long been used for a variety of applications to provide pre-computed results in real-time. There is, however, an increasing shift towards using Graph technology for real-time applications…
Accumulator 101
Originally featured on DZone Motivation GSQL is a Turing complete Graph Database query language. Compared to other graph query languages, the biggest advantage is its support of Accumulators — global or…
The Beauty of Graph Algorithms with Built-in Parallelism
Many people already know that graph algorithms are the most efficient and sometimes the only solution for complex business use cases, such as clustering different groups of users (Community Detection),…
GSQL For Cypher Users
Originally featured on DZone This article is intended for Neo4j Cypher users who want to learn and understand TigerGraph’s GSQL query language. This is by no means a primer on…
