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How BigCommerce Upleveled Kafka Management for Digital Retail Innovation

Recognizing the need for real-time data while understanding the burden of self-managing Kafka on their own led BigCommerce to choose Confluent—allowing them to tap into data streaming without having to manage and maintain the data infrastructure.

When it comes to smooth e-commerce capability in the modern era, BigCommerce provides the technology behind the technology—the platform that’s ultimately the backbone of buying for tens of thousands of merchants, including Solo Stove, Skullcandy, Yeti, and a lot of other incredibly popular brands and products.

For a company that enables varying levels of demand for merchants in the digital age, timeliness and accuracy of data are crucial. Inventory has to be accurate to the millisecond, and when data is delayed by a day, or even a minute, it results in lost revenue for merchants and damages to the organization’s reputation.

That’s only one of the reasons BigCommerce pursued Apache Kafka for their data streaming use case. The modern, open SaaS, e-commerce platform works with tens of thousands of merchants who serve millions of customers around the world. Its digital commerce solutions are available 24/7, all year long, for B2B, B2C, multi-storefront, international, and omnichannel customers.

As Mahendra Kumar, VP of data and software engineering at BigCommerce, puts it, “Real-time data is critical for current business. The value of data drops almost exponentially as time goes by. The sooner you can act on data, the more valuable it is.”

Recognizing the need for real-time data while understanding the burden of self-managing Kafka on their own led BigCommerce to choose Confluent—allowing them to tap into data streaming without having to manage and maintain the data infrastructure.

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