Explore the possibilities of Hasura GraphQL and Distributed SQL with these resources, including webinar recap, blog post tutorials, and more
If you are interested in further exploring the possibilities of Hasura GraphQL and Distributed SQL, check out these resources.
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
The next step in the evolution of database architecture is distributed SQL. Take a look at some of the characteristics here.As organizations transition to the cloud, they eventually find that the legacy relational databases that are behind some of their most critical applications simply do not take advantage of the promise of the cloud and are difficult to scale.
Welcome to this month’s tips and tricks post where we explore both beginner and advanced topics on how to combine GraphQL and Distributed SQL to develop scalable APIs and services. In this article, take a look at GraphQL and distributed SQL tips and tricks.
In this article, see how to deploy a real-time location app with Hasura GraphQL engine and distributed SQL. Hasura is one of the leading vendors in the GraphQL ecosystem.
Explore both beginner & advanced topics on how to combine GraphQL & YugabyteDB to develop scalable APIs & services, including scalar computed fields, event triggers, & more. First things first, for those of you who might be new to either GraphQL or distributed SQL.