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chore: less emojis in top-level readme (#5422)
Signed-off-by: Alexander Droste <[email protected]>
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README.md

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[![Maven - Version](https://img.shields.io/maven-central/v/dev.vortex/vortex-spark)](https://central.sonatype.com/artifact/dev.vortex/vortex-spark)
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[![codecov](https://codecov.io/github/vortex-data/vortex/graph/badge.svg)](https://codecov.io/github/vortex-data/vortex)
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🫶 [Join the community on Slack!](https://vortex.dev/slack) | 📚 [Documentation](https://docs.vortex.dev/) | 📊 [Performance Benchmarks](https://bench.vortex.dev)
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[Join the community on Slack!](https://vortex.dev/slack) | [Documentation](https://docs.vortex.dev/) | [Performance Benchmarks](https://bench.vortex.dev)
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## Overview
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Vortex is a next-generation columnar file format and toolkit designed for high-performance data processing.
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It is the fastest and most extensible format for building data systems backed by object storage. It provides:
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- **⚡️ Blazing Fast Performance**
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- **Blazing Fast Performance**
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- 100x faster random access reads (vs. modern Apache Parquet)
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- 10-20x faster scans
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- 5x faster writes
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- Similar compression ratios
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- Efficient support for wide tables with zero-copy/zero-parse metadata
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- **🔧 Extensible Architecture**
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- **Extensible Architecture**
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- Modeled after Apache DataFusion's extensible approach
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- Pluggable encoding system, type system, compression strategy, & layout strategy
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- Zero-copy compatibility with Apache Arrow
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- **🗳️ Open Source, Neutral Governance**
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- **Open Source, Neutral Governance**
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- A Linux Foundation (LF AI & Data) Project
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- Apache-2.0 Licensed
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- **↔️ Integrations**
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- **Integrations**
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- Arrow, DataFusion, DuckDB, Spark, Pandas, Polars, & more
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- Apache Iceberg (coming soon)
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> 🟢 **Development Status**: Library APIs may change from version to version, but we now consider
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> the file format <ins>*stable*</ins>. From release 0.36.0, all future releases of Vortex should
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> the file format <ins>_stable_</ins>. From release 0.36.0, all future releases of Vortex should
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> maintain backwards compatibility of the file format (i.e., be able to read files written by
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> any earlier version >= 0.36.0).
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## Key Features
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### Core Capabilities
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- **Logical Types** - Clean separation between logical schema and physical layout
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- 🔄 **Zero-Copy Arrow Integration** - Seamless conversion to/from Apache Arrow arrays
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- 🧩 **Extensible Encodings** - Pluggable physical layouts with built-in optimizations
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- 📦 **Cascading Compression** - Support for nested encoding schemes
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- 🚀 **High-Performance Computing** - Optimized compute kernels for encoded data
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- 📊 **Rich Statistics** - Lazy-loaded summary statistics for optimization
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- **Logical Types** - Clean separation between logical schema and physical layout
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- **Zero-Copy Arrow Integration** - Seamless conversion to/from Apache Arrow arrays
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- **Extensible Encodings** - Pluggable physical layouts with built-in optimizations
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- **Cascading Compression** - Support for nested encoding schemes
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- **High-Performance Computing** - Optimized compute kernels for encoded data
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- **Rich Statistics** - Lazy-loaded summary statistics for optimization
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### Technical Architecture
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Copyright © Vortex a Series of LF Projects, LLC.
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For terms of use, trademark policy, and other project policies please see <https://lfprojects.org>
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## Acknowledgments 🏆
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## Acknowledgments
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The Vortex project benefits enormously from groundbreaking work from the academic & open-source communities.
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