# apache-arrow

Apache Arrow is a multi-language toolbox and standardized in-memory columnar format for efficiently processing and transporting large datasets across systems and programming languages.

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## Shehab Amin on Spark Compatibility, Rust, and LakeSail

DevFeed: [Shehab Amin on Spark Compatibility, Rust, and LakeSail](<https://devfeed.tech/articles/spark-isn-t-going-anywhere-so-they-rebuilt-it-in-rust-shehab-amin-ceo-of-lakesail-38716.md>)

Original publisher: [Read original article](<https://dataengineeringcentral.substack.com/p/spark-isnt-going-anywhere-so-they>)

Author: Daniel Beach

Published: 2026-09-02T12:22:23Z

Content type: article

Language: en

Sources: [Data Engineering Central](<https://devfeed.tech/sources/data-engineering-central.md>)

Topics: [Apache Spark](<https://devfeed.tech/topics/spark.md>), [Rust](<https://devfeed.tech/topics/rust.md>), [data-engineering](<https://devfeed.tech/topics/data-engineering.md>), [apache-arrow](<https://devfeed.tech/topics/apache-arrow.md>), [agentic-coding](<https://devfeed.tech/topics/agentic-coding.md>)

Tags: [apache-arrow](<https://devfeed.tech/tags/apache-arrow.md>), [apache-spark](<https://devfeed.tech/tags/apache-spark.md>), [data-engineering](<https://devfeed.tech/tags/data-engineering.md>), [rust](<https://devfeed.tech/tags/rust.md>)

### AI overview

A podcast conversation with LakeSail co-founder and CEO Shehab Amin about Spark compatibility, Rust, Apache Arrow, DataFusion, and data infrastructure. It also discusses data-stack choices, streaming and batch processing, agentic coding, and using existing data pipelines as a basis for AI pipelines.

### Source excerpt

Data Engineering Central Podcast.