Rust-native compute for data and AI agents
LakeSail reimagines the compute layer with Sail — a Rust-native, Spark-compatible distributed engine that delivers up to 8× Spark throughput with 94% lower cost, built for both data engineering and production AI agents.
Realtime compute path
Compute reimagined in Rust
LakeSail is building the next generation of distributed compute on top of Sail — an open-source, Rust-native engine that is fully Spark-compatible. Teams drop it in as a replacement for Apache Spark without rewriting a single line of PySpark or SQL, and immediately benefit from orders-of-magnitude lower latency and cost.
Where traditional Spark deployments carry the JVM's garbage collector and object model overhead into every shuffle and aggregation, Sail eliminates that entire layer. The result is predictable sub-millisecond scheduling, tighter p99 bounds, and a fraction of the memory footprint at equivalent throughput.
LakeSail deploys in your own AWS account — BYOC with your IAM roles and encryption keys — so data sovereignty is built in from day one, not bolted on as a compliance checkbox.
Sail — Rust-native, Spark-compatible
An open-source distributed compute engine that speaks the Spark Connect API. Existing workloads migrate without rewrites. Performance improvements are immediate and measurable.
Governed execution for AI agents
Agents can submit queries, Python workloads, and custom UDFs at runtime. Lakehouse branching gives agents isolated sandboxes to explore and validate without touching production data.
BYOC — your cloud, your keys
Runs inside your AWS account. Your IAM roles, your encryption keys, your VPC. Full data sovereignty with zero ops overhead on the infrastructure layer.
Why LaserData + LakeSail
Streaming at the edge, Rust-native compute in the middle — a coherent, low-latency stack for data engineering and AI agents.
LaserData as the Real-time Input
LakeSail's Sail engine consumes live event streams from LaserData, enabling continuous data engineering workloads that react to new data as it arrives — not hours later.
Rust End to End
LaserData's io_uring-powered streaming core and LakeSail's Rust-native Sail engine share a common philosophy — no GC pauses, no JVM overhead, predictable tail latencies from ingestion through compute.
Agentic Workload Execution
AI agents running on LaserData streams can delegate compute-heavy tasks — transformation, enrichment, validation — to LakeSail's agentic execution layer, which provisions elastic Rust-native compute per workload.
Open Source at the Core
LakeSail is built on Sail — an open-source, Apache-licensed distributed compute engine on GitHub. LaserData is built on Apache Iggy. Both teams build in public, contribute upstream, and give customers full portability.
Stream to compute, end to end
LaserData delivers ordered event streams into LakeSail's Rust-native compute layer — enabling continuous, low-latency data engineering and agentic workloads with no JVM in the path.
Build the compute layer
Talk to us about running LaserData streams through LakeSail's Rust-native engine in your production environment.