Spice is a portable runtime offering developers a unified SQL interface to materialize, accelerate, and query data from any database, data warehouse, or data lake. Spice connects, fuses, and delivers data to applications, machine-learning models, and AI backends, functioning as an application-specific, tier-optimized Database CDN. The Spice runtime, written in Rust, is built-with industry-leading technologies such as Apache DataFusion, Apache Arrow, Apache Arrow Flight, SQLite, and DuckDB. Spice makes it easy and fast to query data from one or more sources using SQL. You can co-locate a managed dataset with your application or machine learning model, and accelerate it with Arrow in-memory, SQLite/DuckDB, or with attached PostgreSQL for fast, high-concurrency, low-latency queries. Accelerated engines give you flexibility and control over query cost and performance.

Features

  • Spice is designed to integrate at the application level
  • Documentation available
  • Dual-Engine Acceleration
  • Separation of Materialization and Storage/Compute
  • Edge to Cloud Native
  • Faster applications and frontends
  • Examples available

Project Samples

Project Activity

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Categories

Machine Learning

License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Rust

Related Categories

Rust Machine Learning Software

Registered

2024-08-14