# Spice OSS, rebuilt in Rust

[Luke Kim](https://blog.0xlukekim.com/?source=post_page---byline--4e0f0125a19f)  
1 min read  
·  
Apr 1, 2024

Spice.ai OSS, rebuilt in Rust  
Last week we [announced](https://blog.spiceai.org/posts/2024/03/28/adding-spice-the-next-generation-of-spice.ai-oss/) the next-generation of Spice OSS, the technology behind [Spice Firecache](https://docs.spice.ai/building-blocks/spice-firecache), completely rebuilt from the ground up in Rust.

Spice OSS is as a unified SQL query interface and portable runtime to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake.

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Spice federates SQL query across databases (MySQL, PostgreSQL, etc.), data warehouses (Snowflake, BigQuery, etc.) and data lakes (S3, MinIO, Databricks, etc.) so you can easily use and combine data wherever it lives. And of course Spice OSS connects to the Spice.ai Cloud Platform.

Datasets can be materialized and accelerated using your engine of choice, including DuckDB, SQLite, PostgreSQL, and in-memory Apache Arrow records, for ultra-fast, low-latency query. Accelerated engines run in your infrastructure giving you flexibility and control over price and performance.

You can get started with Spice on your own machine in less than 30 seconds by following the quickstart at [github.com/spiceai/spiceai](https://github.com/spiceai/spiceai#quickstart) as Phillip demonstrated below.

Data  
Sql  
Federated Queries  
Data Fusion  
Rust

**Published in The Spice AI Blog**  
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**Last published May 23, 2024**  
  
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