Unify batch, stream, and AI data processing at scale
Sail is an open-source framework that helps organizations process massive datasets efficiently. It works as a high-performance replacement for Apache Spark while maintaining compatibility with existing Spark code. Built with Rust for speed, Sail handles both traditional data workloads and modern AI/ML tasks through a unified system.
Drop-in compatibility for Spark SQL and DataFrame APIs
High-performance execution powered by Rust language
Handle batch, streaming & AI workloads in one system
Enterprise-grade support available for businesses
Yes, Sail offers drop-in replacement compatibility for Spark SQL and DataFrame APIs without code changes
Community support includes public channels, while Enterprise offers private support with guaranteed response times
Sail provides unified processing for multiple workload types and enhanced performance through Rust implementation
This tool is best for:
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Recent data shows that Sail has 2.0K monthly visits (142.0% increase from the previous month), 37.0% bounce rate, and average 1.99 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 2 countries worldwide, led by United States contributing 59% of total traffic. SEO performance is shown by 5 tracked keywords, with "lakesail" being the top-performing keyword with 170 monthly searches. See below for more info.
Monthly Visits
2.0K
Pages per Visit
1.99
Bounce Rate
37.0%
Average Time on Site
3m 30s
| SEO Keyword | Volume | CPC |
|---|---|---|
| lakesail | 170 | - |
| spark history server mcp server | 90 | - |
| rust domain specific language abstract syntax tree | 70 | - |
| saildata | 1.0K | - |
| java vs rust - runtime memory management | 360 | - |
| Source | Traffic Share |
|---|---|
| Direct | 48% |
| Search | 23% |
| Social | 11% |
| Referrals | 17% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 59% |
 | 41% |
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