How Quasar
compares
From occasional queries to always-on AI.
DRAFT FIGURES — UNDER VALIDATION
Always-on changes the economics
Today: your team queries when it needs an answer.
Tomorrow: AI taps into your data around the clock.
Ready for a 20× compute bill?
Snowflake
Databricks
Illustrative 1 PB model: 176 to 730 query hours/month, plus larger compute configurations. Not measured bills.
Flat pricing. Fewer resources.
Flat, capacity-based software pricing. Less storage and I/O.
Keep data on premises or at the edge when moving it to the cloud doesn’t make economic sense.
Smaller data. Fewer resources.
Physical data footprint for the same 1 PB of logical data.
Draft ratios. ClickHouse test pending. 1 PB = 1,000 TB; data footprint excludes replicas, indexes, and backups.
Stored size on identical datasets
Four samples. Same input. Stored size in MB.
Process data
Original input: 245 MB
83% less storage than Snowflake on this sample.
Waveform data (floating point)
Original input: 171 MB
27% less storage than Snowflake on this sample.
Market data
Original input: 83.7 MB
76% less storage than Snowflake on this sample.
Scalar data
Original input: 179 MB
53% less storage than Snowflake on this sample.
Existing sample measurements, pending validation. MB = 1,000,000 bytes. Each chart has its own linear scale.