Developing APIs has always been a crucial task for any project. A well-designed API must be flexible and scalable as it always evolves with time. The urge for improvements led to the explosive growth of the data graphs popularity in the last years. This is great news for GraphQL as a lot of companies have started adopting it in their projects. To not be groundless:
- Audi's e-tron car with a data graph
- The front page of NY Times is based on a data graph
- Airbnb uses data graph across all their apps both web & mobile
... the list goes on and on.
Graphs are everywhere! So what are the main benefits of the data graph structure? First of all, it provides easier access to the date, by better, more clear structure.
This leads to another huge benefit of using data graphs which is a better data understanding which effect in faster project onboarding and more efficient collaborations overall as we can clearly see a cause-effect relation. It's worth mentioning that graph structures are a lot easier to visualize, especially with modern tooling available on the data graph/GraphQL market like GraphQL Birdseye or GraphQL Editor.
The benefits don’t stop there and go further beyond to faster development, higher code automation, more consistent user experiences across multiple apps and a lot more.
There is no doubt that people in Apollo, the most popular GraphQL implementation, fully understand the benefits of the data graph structure. Fortunately, more and more people start to see qualities offered by data graphs. Recently, the big news has seen the daylight, the information that "Apollo raised $22 million", this shows that also VCs' noticed a business opportunity in GraphQL technology which gives more confidence that GraphQL might be the future of APIs. What do you think?
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