Introducing Quanton: Spark at Full Speed
Today we're launching Quanton, a drop-in compute engine that makes your Apache Spark workloads dramatically faster — no rewrites required.
Today we’re launching Quanton — a compute engine built to make Apache Spark fast.
Spark is the backbone of countless data pipelines. But as workloads grow, performance bottlenecks are inevitable. We built Quanton to fix that without asking you to change your code.
What is Quanton?
Quanton is a drop-in replacement for the Spark execution engine. It uses vectorized, columnar processing and adaptive query optimization to deliver significantly faster query execution on your existing Spark workloads.
How it works
Add one import and one config option. That’s it. Quanton handles the rest transparently.
import quanton
spark = SparkSession.builder \
.appName("my-pipeline") \
.enableQuanton() \
.getOrCreate()What’s next
We’re starting with a public beta. Head to the docs to get started.