Why Sail?
When Spark was invented over 15 years ago, it was revolutionary. It redefined distributed data processing and became the backbone of data infrastructure for companies across every major industry.
For over a decade, it has powered everything from ETL to machine learning pipelines at scale. But as real-time demands increase, cloud costs rise, and AI workloads evolve, Spark’s architecture is showing its age.
Due to its JVM foundation, Spark struggles with latency, scalability, and operational complexity. This results in higher cloud expenses, slower product cycles, and increased operational overhead.
Our open-source framework, Sail, built natively in Rust, eliminates these problems entirely.
- Rust-native engine with memory-safety
- Spark Connect compatibility
- Lightning-fast Python UDFs
- Stateless and lightweight workers
- Columnar format and zero-copy data transfer
- 2-8x faster execution
- Spark
- Compute
- Garbage Collection
- Compute
- Garbage Collection
- ...
- Sail
- Compute
Runtime
Predictable Execution Times
Sail ensures low memory management overhead and predictable execution times, which reduces risk, complexity, and costs for teams delivering time-sensitive workloads.
Spark
2 min
Sail
15 sec
Execution Speed
Native Performance with Columnar Format
Sail consistently delivers 2x to 8x faster execution times, translating to shorter time-to-insight and lower resource usage.
Spark
- Java Process
- Serialization
- Python Process
- Serialization
- Java Process
- Sail
- Rust Thread
- Memory Buffer
- Python Thread
- Memory Buffer
- Rust Thread
Data Flow
Zero-Copy Data Transfer & No Serialization
Python UDFs are highly performant in Sail. Join and aggregation operations in Sail also come with low data shuffling overhead.
Spark
Sail
- HeavyContainersLight
- SlowScaling UpFast
- HighSetup EffortLow
- HighCloud CostsLow
Cloud Efficiency
Lightweight Workers that Scale Instantly
Sail empowers businesses to achieve dramatically lower cloud infrastructure costs and a smoother experience, especially in containerized environments.
Spark
Sail
- PossibleInvalid Memory AccessNone
- PossibleNull Pointer ExceptionsNone
- PossibleRace ConditionsNone
- ModerateOperation ConfidenceHigh
Safety & Reliability
Memory Management & Concurrency You Can Trust
Sail reduces production risk, debugging time, and operational costs by offering a solid engine for your data needs.
- SQL
- DataFrame APIs
Compatibility
Migration Made Easy
Sail removes barriers for teams to modernize their data stacks. Switching to Sail can be a straightforward business decision.
Modern Infrastructure.
No Rewrite Needed.
If you’re ready to eliminate technical debt and future-proof your infrastructure, let us build your migration plan.