Case Study: How DirectlyApply made job search 400x faster with SingleStore vector search
Key results
The challenge
DirectlyApply's job-discovery platform relied on MongoDB and Elasticsearch layers that degraded in performance and grew costly as it scaled. Rising query times forced client-side processing that negatively impacted the user experience.
The solution
DirectlyApply consolidated onto SingleStore Helios, using its built-in vector search and DOT_PRODUCT similarity to match job titles against standardized ISCO occupation data.
“We've been dreaming about doing this for four years. Now with the help of SingleStore, we can accelerate helping job seekers find new jobs.”
DBDylan BuckleyCo-Founder, DirectlyApply
The results, in context
DirectlyApply reports 400x faster query performance, with Elasticsearch queries that took 2,600 milliseconds now returning in 6 milliseconds. It cites $100,000 in annual cost savings and now runs 80% of its platform on SingleStore Helios.