Fly.io vs Supabase

Fly-io and Supabase operate on different ends of the managed Postgres spectrum. Fly-io focuses on lightweight, container-native database deployments, with costs ranging from $1.94/mo for a tiny 0.256 GB RAM instance up to $131.80/mo for 16 GB of RAM. Supabase functions as a full-scale BaaS, offering a wider range that hits $0.00/mo for entry-level hobby projects and scales up to $7460.00/mo for massive 256 GB RAM clusters. While Fly-io provides up to 160 GB of disk storage to keep data local, Supabase keeps base storage significantly tighter, starting at 0.5 GB and capping base tiers at 8 GB, leaning heavily on its AWS-backed infrastructure for larger persistence needs.

• Storage overages are cheaper on Supabase at $0.13/GB, compared to the $0.15/GB charged by Fly-io.
• Fly-io offers a more affordable network egress path, charging $0.02/GB for overages, which is significantly lower than the $0.09/GB penalty found on Supabase.
• Supabase scales compute far beyond Fly-io, supporting up to 128 vCPU cores, whereas Fly-io limits its managed database instances to 4 vCPU cores.
• Fly-io provides a consistent disk-to-RAM ratio suitable for small-to-mid-sized apps, while Supabase requires higher monthly spend to unlock the memory headroom required for large-scale analytical query performance.

Fly-io remains the logical choice for developers who want to keep database traffic inside a specific region with low egress costs and predictable, smaller footprints. It avoids the complexity of massive enterprise tiers but sacrifices the raw memory capacity and high-concurrency vCPU counts available on Supabase. Teams managing high-volume data ingestion or complex, memory-hungry Postgres extensions will likely find the upper-tier hardware on Supabase necessary, despite the steeper overage costs for network transfer. The decision often comes down to whether your workload requires the massive vertical scaling of AWS-backed nodes or the lean, localized deployment model provided by Fly-io's infrastructure.