Where Data Becomes
Intelligence

Unified open-source framework for batch, stream, and AI workloads.

Rethink Spark.

Meet Sail.

A drop-in Apache Spark replacement, reimagined for modern data and AI infrastructure.

Built in Rust, Sail delivers unmatched performance, lower costs, and a familiar Apache Spark interface—all in a unified, cloud-native engine.

  • 94% Lower Cost Save big on your cloud bill or achieve more with the same budget.
  • 0 Code Changes Required Use familiar Spark SQL and DataFrame APIs without complex migration efforts.
  • 4x Faster Execution Get insights from your data instantly and gain value from it frequently.
  • 0 JVMs Enjoy the Rust-native engine with no memory hogs and no garbage collection pauses.

One Engine.
Every Workload.

A unified solution that scales from your laptop to the cloud.
  • Unified Architecture A single entrypoint for batch, streaming, and AI. One solution for them all.
  • Composable Data Stack Bring compute closer to your data lakehouse and AI models. Need an integration? We’ll build it.
  • Parity with Apache Spark Use your existing Spark code. Only switch the endpoint. No rewrites, no headaches.
  • Cloud-Native by Design Autoscaling, observability, and decoupled storage are planned from the start.
  • Rust at the Core Memory management and concurrency renovated. Performant, efficient, and safe.
  • Lightning-fast UDFs Ditch the Py4J bridge and give your Python code a natural feel in query execution.

See the Difference:
Performance. Efficiency. Simplicity.

Unlock greater possibilities across the board.
SparkSail
Query TimeBaselineUp to 8x faster
Memory Usage~54 GB average~22 GB peak
Disk Spill> 110 GB0 GB
Cost EfficiencyBaseline4x faster at 6% cost
EngineJVM-basedRust-native
Python BindingsInter-processIn-process
Cluster Startup TimeSeveral minutesA few seconds

Built for Speed.
Ready for Scale.

Try Sail and see what modern data processing feels like.

Join the LakeSail Community

Get support, contribute code, and help shape the future of high-performance data and AI workloads.