The GSQL® query language is the choice for fast and scalable graph operations and analytics, for the cloud or on-premises. GSQL’s similarity to SQL, High-level syntax, Turing completeness, and built-in parallelism brings faster performance, faster development and the ability to describe any algorithm.
Optimizes storage efficiency and query speed. Supports data-independent app/query development.
Achieves the fastest results
Familiar to over 1 million users
Makes it easy to implement conventional algorithms
Parameterized queries are flexible and can be used to build more complex queries
HTAP - Hybrid Transactional / Analytical Processing, with real-time data updates
Building on SQL is important for many reasons. It is the best-known database language, period. Based on a solid foundation of relational algebra, SQL has proven itself to be robust and enterprise-ready. This is why GSQL features an SQL-like syntax that reduces the learning curve for SQL programmers.
Enterprises are using a variety of query languages today. With the widespread adoption of graph databases, it’s time for a standard graph query language. GSQL takes the best features of previous relational and graph query languages, to set the new standard.
Read TigerGraph’s vision for extending its GSQL query language to support simultaneous querying of graph and relational data in a fashion that brings out the commonalities between the two models.