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Big data

LakeSail

Open-source Rust framework unifying stream, batch, and AI workloads for Big Data.

Source rating 5.0 (95) 4.1k views 4.1k/mo traffic 0 saves Unknown
Big data AI Stream Processing
More categories (7)
Batch processing Rust Spark SQL DataFrame open-source Distributed computing
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Open-source Rust framework unifying stream, batch, and AI workloads for Big Data
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Open-source Rust framework unifying stream, batch, and AI workloads for Big Data

Overview

LakeSail is an open-source Rust framework designed to unify stream processing, batch processing, and compute-intensive (AI) workloads. It aims to provide a developer-friendly, interoperable, and observable platform for Big Data and AI, offering a seamless transition from Apache Spark. LakeSail features a drop-in replacement for Spark SQL and the Spark DataFrame API, promising significant performance improvements and cost savings.

LakeSail screenshot

Access & connections

Where you can use LakeSail.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • 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

FAQ 6

What is LakeSail?
LakeSail is an open-source Rust framework designed to unify stream processing, batch processing, and compute-intensive (AI) workloads. It aims to provide a developer-friendly, interoperable, and observable platform for Big Data and AI, offering a seamless transition from Apache Spark. LakeSail features a drop-in replacement for Spark SQL and the Spark DataFrame API, promising significant performance improvements and cost savings.
How to use LakeSail?
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.
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.
LakeSail
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