SaaS companies are growing faster than ever, but for many teams, outdated data infrastructure is slowing everything down. Manual sharding, rigid schemas, inconsistent performance, and operational complexity all stand in the way of scalable, real-time user experiences.
This white paper explores how leading companies are scaling SaaS platforms with distributed SQL to support exponential growth, reduce complexity, and unlock new AI-driven capabilities. You’ll learn how companies like Atlassian, Catalyst, Conga, and Kissflow modernized their architecture to support:
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- Elastic scale without sharding or downtime
- Multi-tenant efficiency and simplified schema management
- Real-time analytics with mixed workload processing capabilities
- Global availability and 99.99% uptime SLAs
- Faster development velocity and improved product iteration cycles
Whether you’re facing infrastructure strain or planning for scale, this white paper breaks down the architectural patterns, tradeoffs, and real-world lessons from teams scaling the next generation of SaaS platforms.