spiceai/spiceai

Health v2 · maintenance only

Adoption not part of the score

3070 stars · 222 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Spice.ai OSS is a portable Rust runtime (~140 MB binary) that combines federated SQL querying, accelerated data materialization, full-text and vector search, and OpenAI-compatible LLM inference in a single engine. It runs as a sidecar next to your application or as a distributed cluster, exposing SQL, search, OpenAI-compatible, Iceberg catalog, and MCP APIs over HTTP, Arrow Flight, ODBC/JDBC/ADBC.

Use cases

• query multiple databases and data lakes with one SQL interface
• accelerate slow database queries with local caching and materialized views
• add vector and full-text search to my application data
• serve local LLM inference with an OpenAI-compatible API
• build a RAG application grounded in my own data
• keep analytics tables in sync with MySQL or PostgreSQL in real time via CDC
• expose my data and tools to AI agents via MCP
• query Apache Iceberg catalogs through a unified REST API

When to choose

• you need millisecond-latency SQL and AI inference next to your app without building pipelines
• you want federated queries across databases, warehouses, and data lakes from one runtime
• you need combined SQL, vector search, BM25 full-text search, and LLM serving in a single lightweight binary
• you want real-time CDC acceleration of MySQL or PostgreSQL data without Kafka infrastructure
• you're building data-grounded AI apps or agents and want OpenAI SDK compatibility plus MCP tool integration

When to avoid

• you only need a simple embedded database or ORM inside one application
• you need a full distributed OLAP warehouse with heavy multi-node scaling beyond Spice's cluster model
• your stack is strictly non-SQL or you don't want to run an additional sidecar service
• you need a managed turnkey solution and don't want to self-host or manage the runtime

Facets

service · maturity active

database search-engine vector-database llm-inference rag caching mcp api-framework etl streaming databases large-language-models analytics developer-tools rust self-hosted cloud cross-platform cli data-federation sql-query-engine arrow-flight datafusion duckdb cdc mysql-binlog iceberg-catalog openai-compatible-api bm25-full-text-search sidecar-runtime data-acceleration materialized-views tantivy local-model-serving search retrieval-augmented-generation data-engineering ai-agents docker gpu web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="spiceai/spiceai")