Case Study: Freightify achieves scalable white-labeled analytics with Databrain

Why Freightify Switched from Metabase to Databrain

Freightify, a logistics platform for freight forwarders, was experiencing hyper growth but found its initial analytics solution, Metabase, could not scale to process its millions of rows of data. The lack of customizability and slow performance became a significant operational hindrance. After an attempt to build an in-house tool proved too time-consuming, they sought a new vendor and selected the Databrain embedded analytics module to address these challenges.

By implementing Databrain, Freightify gained a highly customizable, white-labeled analytics solution that could handle billions of rows of data. The low-code environment enabled product managers to build dashboards quickly without SQL knowledge. As a result, Freightify saved an estimated $200,000 and seven months of engineering effort, deploying the Databrain solution to market in just one week while significantly improving report performance.

Freightify

Swaminathan N

Chief Product Officer