What is Spice?
Spice is an open-source SQL query and AI compute engine, built in Rust, designed to simplify the development of data-driven AI applications. Whether you're building intelligent agents, retrieval-augmented generation (RAG) workflows, or real-time analytics dashboards, Spice provides the tools to ground your AI in fast, accurate, and relevant data.
Why Spice?
Spice is built for developers who need a lightweight, flexible, and production-ready engine to power their AI and data applications. Here’s what makes it stand out:
Federated Data Access:Query structured and unstructured data across databases, data warehouses, and data lakes with a unified SQL API.
AI Compute Engine:Use OpenAI-compatible APIs for local or hosted inference, search, memory, and observability.
Data Acceleration:Materialize and cache data in DuckDB, SQLite, or PostgreSQL for sub-second query performance.
Self-Hostable and Open-Source:Deploy Spice as a standalone binary or Docker image, with full control over your infrastructure.
Key Features
🔗 Federated SQL Queries
Query data across multiple sources—databases, warehouses, or lakes—with a single SQL API. No more juggling multiple tools or slow cross-system queries.
🤖 AI-Native Runtime
Combine SQL queries with AI inference in one engine. Use local or hosted models, LLM memory, and observability tools to build intelligent apps.
⚡ Data Acceleration
Materialize datasets in Arrow, DuckDB, or SQLite for lightning-fast queries. Perfect for real-time dashboards, AI feedback loops, and RAG workflows.
🌐 Deployment Flexibility
Run Spice as a standalone instance, Kubernetes sidecar, or distributed cluster—across edge, on-prem, or cloud environments.
Use Cases
Agentic AI Applications
Build AI agents with local or hosted models, grounded in real-time data. Use Spice’s LLM memory and observability tools to track performance and improve accuracy.Retrieval-Augmented Generation (RAG)
Ensure your AI is grounded in data with high-performance search and text-to-SQL capabilities. Spice’s vector search and semantic knowledge layer make RAG workflows seamless.Database CDN
Co-locate datasets with your applications for sub-second query performance. Perfect for accelerating BI dashboards or real-time analytics.Distributed Data Mesh
Query across databases, warehouses, and lakes with advanced federation. Simplify legacy migrations and unify modern and legacy systems under one endpoint.
FAQ
1. Is Spice a cache?
Not exactly. Spice prefetches and materializes data based on filters or intervals, acting as an active cache or working dataset prefetcher.
2. Can Spice handle federated queries?
Yes! Spice supports advanced query push-down across databases, warehouses, and lakes for fast, efficient data retrieval.
3. What AI capabilities does Spice offer?
Spice provides OpenAI-compatible APIs for inference, embeddings, and memory. It also supports local model serving and integrates with popular providers like OpenAI and Anthropic.
Spice is the engine you need to build AI apps and agents that work—fast, accurate, and grounded in data. Try it today and see the difference for yourself.
More information on Spice
Launched
2021-05
Pricing Model
Free
Starting Price
Global Rank
3492103
Follow
Month Visit
5.8K
Tech used
Cloudflare Analytics,Google Analytics,Google Tag Manager,Cloudflare CDN,Atom,Gzip,HTTP/3,OpenGraph,OpenSearch,RSS,Algolia
Top 5 Countries
46.74%
29.37%
19.77%
4.12%
United States
Vietnam
India
Poland
Traffic Sources
7.88%
1.01%
0.1%
23.02%
33.98%
33.61%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 25, 2025)
Spice was manually vetted by our editorial team and was first featured on 2025-01-26.
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