Streaming 400,000 Tables with Streamkap

Limble, a maintenance and asset management company, faced significant challenges managing a vast and complex data architecture with nearly 400,000 database tables, leading to high costs, maintenance headaches, and limited product analytics capabilities. Initially relying on an in-house data pipeline using DMS, CDC, and Snowpipe, Limble encountered substantial issues with scalability, cost, and latency. The introduction of Streamkap provided a crucial solution, allowing Limble to collapse similar tables into unified structures in Snowflake, reducing costs by 40 times and dramatically cutting maintenance hours. This change enabled real-time analytics and improved internal product analytics, setting Limble up for a scalable future. Streamkap's support was instrumental in their transition, enabling Limble to deploy a more efficient and cost-effective data infrastructure while planning for future expansions and feature enhancements.