Orbital Computing and Distributed Databases | CockroachDB

Rising energy use, environmental concerns, and restrictions on terrestrial data centers have prompted interest in space-based computing, with proposed satellite constellations intended to use abundant solar power, radiative cooling, and unrestricted orbital real estate for AI workloads. While most attention has focused on GPUs and compute, the text argues that practical orbital applications would also require distributed databases to preserve state, coordinate operations, and maintain consistency despite satellite failures and changing network paths. It considers how systems such as CockroachDB and its Raft consensus protocol could distribute replicas across orbital planes, tolerate lost satellites, and support hybrid architectures that keep latency-sensitive hot data in orbit while storing cheaper cold data on Earth. Major challenges include continuously shifting topology and latency, optimal scheduling of data coordinators as satellites move, distinguishing temporary communication loss from permanent node failure, aging heterogeneous hardware, and unresolved questions of data sovereignty as satellites cross national borders. Relativistic clock effects are presented as negligible compared with practical networking constraints, while future orbital-aware databases would need dynamic locality models, predictive placement policies, autonomous decommissioning, and jurisdiction-sensitive replication.

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