Enterprise Platforms Focus on Scalability

Figma's scalability relies on its cloud-based architecture, enabling real-time collaboration among numerous users regardless of location. This architecture requires robust systems for managing concurrent access and data consistency. Snowflake achieves scalability through its unique multi-cluster shared data architecture, separating compute and storage. This allows independent scaling of compute resources without moving data. Databricks leverages Apache Spark to provide a unified analytics engine for large-scale data processing. Its scalability is enhanced by its ability to distribute workloads across a cluster of machines.