Case Study: Badger Technologies boosts vector search performance with ApertureDB

Badger Technologies boosts vector search speed 2.5x with ApertureData

Badger Technologies, a retail automation company, faced significant challenges with its visual data infrastructure. Their multipurpose robots generated massive amounts of image data and embeddings, but their previous vector database solution was unstable and too slow, maxing out at 4,000 queries per second and causing delayed reporting for customers. This performance bottleneck threatened their ability to deliver timely business intelligence to retailers. To solve this, they turned to the vendor ApertureData and implemented its ApertureDB platform.

By implementing ApertureDB from ApertureData, Badger Technologies achieved a 2.5x improvement in vector search performance, increasing query speed to over 10,000 queries per second with greater stability. This eliminated their reporting delays and enabled them to reliably scale their operations. The solution also provided a unified platform for their entire visual data pipeline, which they are now road mapping for use in managing ML training datasets to further improve model accuracy.

Badger Technologies