Open-source and cloud data platform giving AI agents fast, federated SQL access to operational and analytical data without ETL.
What it does
Spice.ai is a data platform that lets teams query, accelerate and search across operational databases, data lakes and warehouses using SQL, without building ETL pipelines. It also embeds LLM inference directly into the query engine and can be run open source, self-hosted, or on Spice's managed cloud.
How to use: Spice AI can be used by connecting to various data sources using connectors, querying data with SQL, accelerating data for low-latency access, and deploying AI models. Developers can get started with just three lines of code using the Spice Cloud Platform.
Core features
Federated SQL queries across multiple data sources with local acceleration
Hybrid search combining vector, full-text and keyword search in SQL
Inline LLM calls from the query layer via SQL
Real-time change data capture for synced datasets
Distributed query engine for scaling beyond one node
MCP server and gateway support for AI agents
Sandboxed, least-privilege data access for agents and RAG
Best for
→Adding a real-time analytics replica without ETL
→Powering context-aware hybrid search in applications
→Building secure data access layers for AI agents
→Accelerating datalake queries for internal analytics
→Grounding RAG systems in enterprise data
Pricing
Open Source
Free
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