Can a team evaluate Spice before buying a plan?

Teams can install Spice OSS or start a 7-day Spice Cloud trial without a credit card. Connect a data source, select datasets to expose, and run SQL queries before adding acceleration, search, or model inference. Talk to a Spice engineer about data sources, query latency, freshness, security, and deployment requirements.

Does adopting Spice require replacing an existing data platform?

No. Spice can query existing databases, warehouses, and data lakes through its data connectors. Teams can begin with one dataset and add acceleration or search as their application needs change.

What makes Spice AI different?

Spice is open source with a choice of where compute runs, combines federation and acceleration in one SQL endpoint, and unifies data querying, retrieval, and model inference. Production deployments at Barracuda achieved up to 100x faster queries and 50% lower costs. Spice can run one isolated data stack per agent with separate compute and access controls.

What support does Spice AI offer?

Open-source users can ask questions in community Slack and report issues on GitHub. Cloud Pro for Teams includes private Slack and email with standard 8/5 next-business-day support. Enterprise offers premium 24/7 on-call support.

Fact sheet · Databases & backend

Spice AI

Open data lakehouse for agents that serves enterprise data securely and at scale on object storage

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An open-source SQL query, search, and LLM inference platform that federates 40+ data sources and enables AI agents to query databases, data lakes, and

Overview

Screenshot of the Spice AI homepage — What spice.ai looks like

Spice AI builds Spice, an open-source engine for SQL query, search, and LLM inference over enterprise data. Applications and AI agents use one SQL endpoint to query databases, data lakes, and warehouses. Spice can keep an analytics replica of an operational database so analytical reads do not load production. Teams run Spice on their own infrastructure or use the managed Spice Cloud Platform.

Spice combines live queries against connected sources with locally accelerated datasets behind one SQL endpoint. It adds high-throughput CDC replication and query capabilities, allowing analytical queries to run on a separate copy of operational data with reduced load on primary databases. The platform supports hybrid search combining keyword, vector, and full-text search in SQL, and enables calling LLMs directly from the query layer.

Feature facts

Analytics replica with real-time CDC from PostgreSQL, MySQL, MongoDB, DynamoDB
Hybrid search combining keyword, vector, and full-text search in SQL
Embedded LLM inference callable directly from SQL queries
Per-agent sandboxed data isolation with row-level filters and column masking
Multi-node clustering and distributed query execution across storage tiers
Open source runtime under Apache 2.0 license with self-hosted and managed cloud options

Pricing

Pricing model: Freemium

Open Source: Free under Apache 2.0. Cloud Developer: $19/month. Pro for Teams: $99/month with subscription and usage-based pricing. Enterprise: Contact for tailored pricing.

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Spice AI specifications

Specifications of Spice AI
Section	Databases & backend
Founded	2021
Origin	Seattle, United States
Stage	Established
Website	spice.ai
Makers	Luke Kim (Founder) Phillip LeBlanc (Founder)
Votes²	0

Spice AI metrics

Fact file for spice.ai: Ahrefs Domain Rating and Majestic link facts, each with the change since the last fact check.
Metric	Value
Domain Rating	57 +1 (up) since last check
Trust Flow	13 no change since last check
Citation Flow	39 no change since last check
Referring domains	471 no change since last check
External backlinks	29,755 no change since last check

Fact: Ahrefs Domain Rating checked 12 Nov 2026, fact changed 12 Nov 2026. Fact: top topic Computers/Computer Science/Academic Departments (12). Fact: Majestic checked 1 Nov 2026, fact changed 1 Nov 2026. Link facts from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Spice AI domain fact sheet

Open the fact sheet

Read from the public RDAP record on 11 Nov 2026, 04:24 UTC.
Domain age	8 years
Registered	15 Dec 2017
Expires	17 Mar 2028
Registrar	Cloudflare, Inc
DNSSEC	Signed

Every domain fact for spice.ai

Spice AI launch receipt sheet

What we have measured for Spice AI since it went live on SaaS Directory Info on 1 November 2026.

57 Domain Rating (Ahrefs) no change since launch
at launch: 57 (1 Nov 2026); latest: 12 Nov 2026
13 Trust Flow (Majestic)
first measured 1 Nov 2026
471 Referring domains (Majestic)
first measured 1 Nov 2026

Day 10 since launch. Next receipt: day 30, 1 Dec 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.

Biggest gains on SaaS Directory Info

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Step-by-step tips for before, during and after your launch, free to read on SaaS Directory Info.

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Frequently looked up

Q1What is Spice AI?: Spice AI builds Spice, an open-source engine for SQL query, search, and LLM inference over enterprise data. Applications and AI agents use one SQL endpoint to query databases, data lakes, and warehouses. Spice can keep an analytics replica of an operational database so analytical reads do not load production. Teams run Spice on their own infrastructure or use the managed Spice Cloud Platform.
Q2Can a team evaluate Spice before buying a plan?: Teams can install Spice OSS or start a 7-day Spice Cloud trial without a credit card. Connect a data source, select datasets to expose, and run SQL queries before adding acceleration, search, or model inference. Talk to a Spice engineer about data sources, query latency, freshness, security, and deployment requirements.
Q3Does adopting Spice require replacing an existing data platform?: No. Spice can query existing databases, warehouses, and data lakes through its data connectors. Teams can begin with one dataset and add acceleration or search as their application needs change.
Q4What makes Spice AI different?: Spice is open source with a choice of where compute runs, combines federation and acceleration in one SQL endpoint, and unifies data querying, retrieval, and model inference. Production deployments at Barracuda achieved up to 100x faster queries and 50% lower costs. Spice can run one isolated data stack per agent with separate compute and access controls.
Q5What support does Spice AI offer?: Open-source users can ask questions in community Slack and report issues on GitHub. Cloud Pro for Teams includes private Slack and email with standard 8/5 next-business-day support. Enterprise offers premium 24/7 on-call support.

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