# Apache DataFusion vs Delta-rs (Delta Lake Rust): 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: Apache DataFusion wins as the high-performance vectorized SQL and DataFrame query planner/executor built on Rust Apache Arrow across 9.5k+ GitHub stars (97.9), while Delta-rs (`deltalake` Python package) wins as the foundational Rust ACID storage and transaction-log layer that brings zero-JVM Delta Lake reads, writes, merges, and Z-Ordering directly into DataFusion, Polars, and DuckDB across 3.3k+ GitHub stars (97.3).

- **Category**: Vectorized Rust Apache Arrow Query Engine vs Native Rust ACID Delta Lake Storage Layer Shootout
- **Canonical URL**: https://pulse-forge.io/vs/datafusion-vs-delta-rs
- **1-Click $0 Free Starter docker-compose.prod.yml + CLAUDE.md**: https://pulse-forge.io/api/launch-kit/free-claude-md?repo=datafusion/datafusion
- **1-Click $4.99 Drop-In Migration Config Pack (3 Core Files - Stripe Checkout)**: https://pulse-forge.io/buy/micro_pass?repo=datafusion/datafusion&source=md_vs
- **1-Click $9.99 Complete 9-File Production Config .ZIP (Stripe Checkout)**: https://pulse-forge.io/buy/repo_pass_999?repo=datafusion/datafusion&source=md_vs_999
- **1-Click $49 Builder Repo Hardening & Launch Kit (Stripe Checkout)**: https://pulse-forge.io/buy/instant_boost?repo=datafusion/datafusion
- **1-Click $149 Category Leader Pro + 30-Day Pin (Stripe Checkout)**: https://pulse-forge.io/buy/category_leader?repo=datafusion/datafusion
- **Specimen #1 Production Config Preview (`docker-compose.prod.yml`)**: `+ [docker-compose.prod.yml] healthcheck: 5s | restart: unless-stopped | mem_limit: 2g (Production HA Spec)`

## Apache DataFusion Key Advantages
- 9,488+ GitHub stars under Apache-2.0 powering InfluxDB 3.0, ParadeDB, LanceDB, GreptimeDB, and VegaFusion with sub-millisecond Rust query planning
- Full ANSI SQL parser, cost-based optimizer, spill-to-disk hash/sort operators, and Python `datafusion` DataFrame bindings
- Runs 6.8x faster than single-node JVM Spark with zero garbage-collection tail-latency spikes

## Delta-rs (Delta Lake Rust) Key Advantages
- 3,343+ GitHub stars under Apache-2.0 providing `pip install deltalake` to read, write, `MERGE`, `OPTIMIZE`, and `VACUUM` Delta tables without Java/Spark
- Registers directly as a native `TableProvider` inside Apache DataFusion so SQL queries push down partition and parquet row-group predicates automatically
- Enables serverless AWS Lambda and lightweight Kubernetes pods (128MB RAM) to commit ACID Lakehouse transactions