# Lakesail

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/lakesail
- **Dataset:** https://optimly.ai/brand/lakesail.json
- **Markdown:** https://optimly.ai/brand/lakesail/llms.txt
- **Official website:** https://lakesail.com
- **Slug:** lakesail
- **Categories:** data-analytics-business-intelligence

## Overview

- **Tagline:** It replaces the JVM runtime of Apache Spark with a stateless Rust runtime while maintaining full Spark API compatibility, leading to 10x faster performance, 98% lower infrastructure costs, zero code rewrites, native Python execution, and built-in agentic infrastructure for AI.
Source: Brand's website (https://lakesail.com) · 2026-10-04

- **Description:** LakeSail provides a Rust-based, high-performance data processing engine that is fully compatible with the Apache Spark API. It is designed to offer significantly faster query speeds (10x), dramatically lower infrastructure costs (98%), and is optimized for AI workloads from day one, serving data and AI teams by replacing JVM-based Spark runtimes without requiring code rewrites.
Source: Brand's website (https://lakesail.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - A Rust-based data processing engine that plugs into existing Spark
  - PySpark
  - Spark SQL
  - Delta Lake
  - and Iceberg code via Spark Connect protocol
  - also featuring an MCP server
  - dynamic Python tooling
  - and lakehouse branching for AI agents.
Source: Brand's website (https://lakesail.com) · 2026-10-04

- **Pricing:** Consumption-based, with no lock-in contracts or minimum spend, and auto-scales to zero, emphasizing significant infrastructure cost savings.
Source: Brand's website (https://lakesail.com) · 2026-10-04

## Audience

- **Target industry:** Data and AI teams at enterprises currently using Apache Spark or Databricks for their data workloads, seeking performance improvements, cost reduction, and enhanced capabilities for AI agents.
Source: Brand's website (https://lakesail.com) · 2026-10-04

## Landscape

- **Competitors:**
  - Apache Spark
  - Databricks
Source: Brand's website (https://lakesail.com) · 2026-10-04

Page last updated 2026-10-17.