Sail
Unify batch, stream, and AI data processing at scale
Target Audience
- Data engineers
- MLOps teams
- Organizations using Apache Spark
Hashtags
Overview
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.
Key Features
Spark Replacement
Drop-in compatibility for Spark SQL and DataFrame APIs
Rust Power
High-performance execution powered by Rust language
Unified Processing
Handle batch, streaming & AI workloads in one system
Commercial Support
Enterprise-grade support available for businesses
Use Cases
Process large-scale data batches
Handle real-time data streams
Run compute-heavy AI tasks
Migrate from Apache Spark seamlessly
Pros & Cons
Pros
- Full Spark API compatibility reduces migration effort
- Superior performance through Rust implementation
- Open-source core with enterprise support options
- Unified architecture for multiple workload types
Cons
- Community support lacks guaranteed response times
- Primarily targets organizations with existing Spark infrastructure
- Advanced features require enterprise contract
Pricing Plans
Community
ongoingFeatures
- Public issue tracker
- Community Slack access
- SQL/DataFrame API support
Enterprise
customFeatures
- Private support channels
- Guaranteed response times
- Custom integrations
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
Can I use my existing Spark code with Sail?
Yes, Sail offers drop-in replacement compatibility for Spark SQL and DataFrame APIs without code changes
What support options are available?
Community support includes public channels, while Enterprise offers private support with guaranteed response times
How does Sail improve on Spark?
Sail provides unified processing for multiple workload types and enhanced performance through Rust implementation
Integrations
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