LakeSail is a cloud data platform powered by Sail, a distributed, multimodal computation engine written in Rust. It unifies batch, stream, ad hoc, and AI workloads within a single environment, eliminating JVM overhead and delivering high performance. The platform also provides agentic infrastructure, enabling production AI agents to execute governed queries, define custom Python tools at runtime, and operate in isolated lakehouse branches without touching production data.
Key Features
- Rust-native engine with Spark compatibility, requiring no code rewrites
- Deploys in your AWS account, ensuring data sovereignty and zero ops overhead
- Agentic infrastructure with dynamic tooling, automatic branching, and human oversight
- Elastic compute that provisions per workload and scales to zero
- Support for multimodal data, including PDFs, images, and videos
- Fully managed with SSO, role-based access, and granular permissions
Performance
Benchmarks show LakeSail up to 8× faster than Apache Spark, processing 16× more data at 94% lower cost on comparable hardware.
Use Cases
- High-performance data engineering pipelines
- Production AI agents requiring governed, auditable execution
- Ad hoc analytics on complex, multimodal datasets
- Organizations seeking a cloud data platform with native sovereignty controls
Key Benefits
- Rust-native engine with zero JVM overhead
- Spark compatibility without code rewrites
- Deploys in your own AWS account for data sovereignty
- Up to 8× faster performance than Apache Spark