Your Data and AI Stack in One Engine
Federated SQL query, hybrid search, and LLM inference in a portable and open-source runtime
Deployed in Production at
Accelerated Data.
Hybrid Search.
LLM Inference.
Federate and Accelerate Data with Zero ETL
Connect to operational databases, data lakes, and warehouses across the enterprise. Use DuckDB and Apache Arrow acceleration to deliver sub-second performance.
Hybrid Search Across Data Estates
Run vector, keyword, and full-text search in the same SQL statement for more advanced retrieval pipelines.
Serve and Ground Any LLM Model
Serve local and hosted LLMs from OpenAI, Anthropic, xAI, or NVIDIA NIM. Combine inference with acceleration and hybrid search to power latency-sensitive AI applications.
Built on open-source
The Operational Data Lakehouse
Spice is the only data lakehouse purpose-built for operational data use cases, not just analytics. Massively improve performance and eliminate the need for ETL pipelines, caches, and specialized databases - all in a portable 140MB runtime.
SQL Query Federation
Join data across databases, data warehouses, data lakes, and APIs in a single SQL query
Connectors for 30+ modern and legacy sources from Databricks, to MySQL, and CSV files on FTP servers
Industry-standard protocols including ODBC, JDBC, ADBC, HTTP, and Apache Arrow Flight (gRPC)
Data Acceleration
Fast, low-latency, high-concurrency query, search, and AI retrieval
Materialize and accelerate data in-memory or using embedded databases including DuckDB or SQLite
Keep accelerations updated in real-time with Change-Data-Capture (CDC) using Debezium
Hybrid SQL Search
Run vector, keyword, and full-text search in the same SQL query
Build retrieval pipelines that combine structured and unstructured data
Leverage open table formats (Iceberg, Delta, Hudi) and S3 Vectors without extra infrastructure
LLM Inference
Serve local or hosted LLM models (OpenAI, Anthropic, xAI, NVIDIA NIM)
Combine inference with search and retrieval for latency-sensitive apps
Integrate agentic RAG workflows with full observability and distributed tracing
Built by developers, for developers
Get Started with Just Three Lines of Code
How Spice.ai
Works
Focus on your application. Spice.ai brings together enterprise-grade data and AI infrastructure, serverless compute, storage, ZK & ML GPU clusters, blockchain nodes, and indexing into a single, developer-focused platform.
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Historical Data
Your Own
Indexing
Spice AI The Spice Cloud PlatformMulti-cloud, high-availability SOC2 deployments | Building & Operating In-House | |
|---|---|---|
| Managed Infrastructure | ||
| Data & AI Infrastructure Cost | Included | $5k to $50k per month |
| Enterprise-grade high-availability and compliance | Included in Enterprise Multi-cloud, high-availability SOC2 deployments | Twice as much as the Spice Cloud Platform 2x the total cost of infra and ops |
| High-performance caching for frontend & inferencing queries | Managed Spice.ai Open Source | $1k to $5k per month |
| Engineering | ||
| Data and Infrastructure Engineering Cost | Included | $15k to $20k per month, per engineer |
| Time to Implement | Get started in minutes | Typically 3 to 6 months |
| Operations & Support | ||
| On-Going Operational Cost | Included with Pro for Teams and Enterprise plans | $15k per month, per ops engineer |
| 99.9%+ Enterprise SLA & Support | Included in Enterprise | Self-managed 24/7 on-call |
“We are a team of crypto and fintech product experts, not cloud and developer infrastructure , so we needed to evaluate solutions based on their ease of implementation and time to market. We value solutions that deliver performance of transactions and pricing data without compromising the developer experience
and accuracy.”
Designed for Scale
Enterprise-Grade Performance & Security
Apache Arrow
Combine SQL with code
Ecosystem Compatible
Datasets & Views
Petabyte-Scale Data For Applications & ML
Built on Open-Source
Spice is powered by Apache Arrow, Flight, ADBC, DataFusion, Parquet, Iceberg, and more. Explore the platform, see where it’s headed, and join the community shaping its future.
