IBM Technology Corporation has announced the acquisition of StepZen Inc, which developed a GraphQL server with a unique architecture that helps developers build GraphQL APIs quickly and with less code.
This marks IBM’s first acquisition of 2023. Since the new dawn with CEO Arvind Krishna in April 2020, IBM has acquired 30 companies to bolster its hybrid cloud and artificial intelligence (AI) capabilities.
The rising adoption of hybrid cloud has resulted in data stored everywhere – in different types of data stores likes data warehouses, lakes, and lakehouses as well as across different clouds and on-premises environments. APIs serve as the essential connector between different data sources and applications, which means that businesses are relying on and creating more APIs than ever before to get the data they need to power their applications and experiences.
GraphQL has rapidly become a go-to query language for companies to interact with their data and is emerging as a new standard for APIs, layering upon the investments in REST APIs and data systems. Take an e-commerce application for example. With a single call, GraphQL can merge data that is found in different subsystems, like customer information, order numbers, and delivery status, and return it in an expected format. This simplicity is why the popularity and usage of GraphQL is growing quickly. A report from Gartner predicted that by 2025, more than 50 percent of enterprises will use GraphQL in production, up from less than 10 percent in 2021. While GraphQL APIs are significantly easier for application teams to use, they can be challenging for the teams tasked with creating them.
Founded in 2020, StepZen provides an easier way for developers to build GraphQL APIs. StepZen takes a declarative programming approach (describing WHAT the program does, without explicitly specifying HOW), which results in smaller and more intuitive code, better runtime performance, and faster time to value. StepZen was also designed to be highly flexible. It is compatible with other API approaches and is available as-a-Service (SaaS) while also supporting deployments in private clouds and on-premises data centers.