Can orbital data centers help justify a massive valuation for SpaceX?

Orbital data centers sound like science fiction, but they force us to confront a real architectural question: what latency profile justifies the complexity? For most teams running analytics workloads, Redshift, BigQuery, or Snowflake already solve the core problem efficiently. However, if SpaceX can genuinely deliver sub-100ms latency to global endpoints while reducing egress costs, certain use cases shift dramatically—particularly real-time derivatives trading, autonomous vehicle telemetry ingestion, and edge ML inference pipelines. The practical implication is that we shouldn't dismiss this as vaporware yet. Smart data engineering teams should start mapping which workloads actually suffer from terrestrial latency constraints versus which are simply expensive to move around. The broader trend here mirrors the modern data stack's evolution: we're optimizing for distributed, heterogeneous infrastructure rather than centralized data warehouses. If orbital capacity becomes viable at scale, it becomes another tool in your multi-cloud, multi-region strategy. Watch this space—literally—because your vendor landscape in five years might include conversations about compute placement that sound absurd today.