Ship database changes without migration-day anxiety. Test schema changes, version upgrades, and query optimizations against real production workloads before deployment.
Major database changes carry significant risk. Schema migrations, version upgrades, and query optimizations can break production in unexpected ways. Traditional staging environments lack production scale, traffic patterns, and edge cases that only emerge under real load.
Built in Rust with Tokio, ScryData eliminates migration-day anxiety by validating database changes against real production workloads. Catch breaking changes in hours, not after deployment.
ScryData sits transparently between your application and database, capturing production traffic and replaying it against your shadow database—with full instrumentation to see exactly how your changes perform.
Replay production queries against your shadow database with complete telemetry—see exactly how your changes perform under real load
Adapt incoming queries to match new schemas or query patterns—test breaking changes without breaking production
Compare latencies, catch errors, and spot result mismatches between production and shadow databases
ScryData captures every production query transparently
Optionally rewrite queries to match your new schema or data patterns
Execute queries against your shadow database with your proposed changes
Full instrumentation reveals performance impact, errors, and regressions
ScryData was born from real-world pain. After executing 70+ production database migrations at enterprise scale, we knew there had to be a better way to validate database changes without the anxiety.
Hands-on experience migrating critical production databases at scale
Every failure mode we've seen is built into ScryData's design
Background in high-throughput systems serving critical workloads
We believe database migrations shouldn't be high-stakes gambling. ScryData brings production-scale validation to every team, eliminating the anxiety and risk of migration day. We built the tool we wished we had—now we're sharing it with you.
Join platform engineers, database architects, and SREs derisking major database changes with production-scale validation.
