Spice AI

Spice AI is an open-source data platform that provides a unified query, search, and AI inference layer for enterprise data. It connects to any data source—operational databases, data lakes, warehouses—and accelerates working sets in-memory or on disk for sub-second query performance. The platform supports SQL Federation & Acceleration, enabling fast federated queries across sources without ETL. Its Hybrid SQL Search combines vector similarity, full-text, and keyword search in standard SQL. Embedded AI Inference allows calling local or hosted LLMs as SQL UDFs for tasks like text translation, summarization, and entity classification. Spice can be deployed anywhere: locally, at the edge, or on the fully managed Spice.ai Cloud Platform. Security features include secure AI sandboxing with least-privilege datasets, and distributed observability for tracing across SQL, embeddings, search, and LLM calls. The platform is used by companies like Twilio, Barracuda, and NRC Health to power low-latency applications and AI agents. Use cases include application search, datalake acceleration, operational data lakehouse, secure AI agents, and retrieval-augmented generation. Spice is open-source with a community on GitHub.

Key Benefits

• Sub-second query performance across sources (up to 100x faster queries)
• Up to 80% cost savings on data lakehouse spend
• Open-source and deployable anywhere (edge to cloud)
• Secure AI sandboxing with isolated, least-privilege datasets