ReadySetLaunch

Case study · Success database

QuestDB

Success Technology & Software Primary strength · Problem Clarity
Problem Clarity
QuestDB was built to solve a critical bottleneck: traditional databases couldn't ingest and query time series data at the scale financial institutions and crypto exchanges required. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌Companies handling millions of market data points per second faced a painful choice—either accept query latencies measured in seconds or invest millions in custom infrastructure. The problem hit hardest at trading firms, exchanges, and fintech platforms where milliseconds determined profitability. The pain was measurable: ingestion rates capped at thousands of events per second, query response times in the 10-100 millisecond range, and hardware costs that scaled linearly with data volume. Existing alternatives like InfluxDB, TimescaleDB, and Cassandra offered trade-offs but none optimized for both blazing-fast ingestion and sub-millisecond queries simultaneously. Early validation came through adoption by major crypto exchanges and trading firms who immediately saw 10-100x performance improvements. Open-source GitHub traction and organic community growth signaled that developers recognized QuestDB solved a genuine, widespread problem rather than a niche edge case.

Source: https://www.ycombinator.com/companies/questdb

Earn the same clearance

QuestDB cleared the pillars this case study breaks down. ReadySetLaunch's Launch Control walks you through the same thirteen structured questions so you can pressure-test where you stand before you build.

Pressure-test your idea