Key features:
* Millisecond-level queries
* Low memory footprint (~25MB/column for 20M rows)
* Fast ingestion
* Persistence and crash recovery
Example: Querying taxi trip data:
Java
// Query: Find taxi trips that originated in Manhattan, with Uknown payment
// and were picked up between 6AM and 11AM (pickup_hour > 5 and < 12).
Query q = taxiData.newQuery()
.and("pickup_location", "Manhattan")
.and("payment_type", "Unknown", "No Charge")
.gt("pickup_hour", 5) // pickup hour > 5 (i.e. after 5 AM)
.lt("pickup_hour", 12) // pickup hour < 12 (i.e. before noon)
Quanta is designed for speed and real-time analytics on structured, columnar data. Ideal for developers needing low-latency lookups without distributed system overhead.Looking for your feedback!