LakeSail
Monthly visits
5.9K
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1 directory
Rating
5.0/5
Core features
- ✦Unification of stream, batch, and AI workloads
- ✦Drop-in replacement for Spark SQL and DataFrame API
- ✦Powered by Rust for stellar performance
- ✦Commercial support options available
Use cases
- →Big Data processing for AI applications
- →Replacing Apache Spark workloads for improved performance and reduced costs
How to use
LakeSail can be used as a drop-in replacement for Spark SQL and the Spark DataFrame API. Installation is done via pip (pysail[spark]). A Sail server can be started and connected to from PySpark with minimal code changes. Kubernetes deployment is also supported.
FAQ
What is LakeSail?
LakeSail is an open-source computation framework with a mission to unify stream processing, batch processing, and compute-intensive AI workloads.
What are the benefits of using LakeSail over Apache Spark?
LakeSail offers stellar performance in benchmark evaluations, potentially leading to 4x processing speed and 94% hardware cost reduction with minimal code changes.
How can I get started with LakeSail?
You can install LakeSail using pip (pysail[spark]) and connect to a running Sail server from PySpark with minimal code changes. Documentation and examples are available on the LakeSail website.
What support options are available for LakeSail?
LakeSail offers commercial support with flexible coverage tailored to your needs. Community support is also available through a public issue tracker and a public Slack channel.
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