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Spice AI Tech Stack

Open-source data lakehouse runtime for AI applications without ETL

Data Infrastructure and Analytics Seattle, Washington 11–50 employees Founded 2021 Privately Held

Spice AI is a lightweight, open-source runtime that federates SQL queries across operational and analytical data sources—Snowflake, Databricks, Elasticsearch, and others—without requiring ETL pipelines. The tech stack (Rust, Arrow, DuckDB, DataFusion, Iceberg) and active projects reveal a company building a high-performance query engine and cloud platform. The hiring mix skews engineering-heavy (15 of 17 core roles) with senior and lead-level emphasis, indicating infrastructure maturity work rather than early-stage exploration.

Tech Stack 16 technologies

Core StackKubernetes Databricks Snowflake Elasticsearch Rust Go Iceberg Apache Starburst Dremio SQL C/C++ Arrow DuckDB Apache Arrow DataFusion

What Spice AI Is Building

◆Challenges

Fragmented data access
Infrastructure reliability for production
Complexity of building data-driven ai applications
Complex ai application development
Fast secure access to disparate data
Complex data infrastructure
Complex ai tooling integration
Lack of unified runtime

▲Active Projects

Spice.ai cloud platform
Spice.ai oss database engine development
Optimizing spice.ai runtime
Deploying spice.ai solutions in production environments
Spice.ai data and ai compute-engine content
Extending spice.ai solutions
Developer community building
Sample applications and demos
Spice.ai open-source project
Spice.ai solutions deployment

Hiring Activity

Accelerating20 roles · 9 in 30d

Department

Engineering

15

Sales

2

Seniority

Senior

10

Lead

4

Principal

2

Staff

1

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About Spice AI

Spice AI helps development teams query fragmented data sources and run LLM inference from a single runtime, eliminating the need for ETL or complex integrations. The platform deploys on edge, cloud, or on-premise infrastructure. Founded in 2021 and based in Seattle, the company is an 11–50 person team with 9 active job postings in the last 30 days, primarily for engineering roles. Projects span the open-source database engine, cloud platform, production deployment, and developer community building—reflecting a mix of platform maturity and ecosystem adoption work.

HeadquartersSeattle, Washington

Company Size11–50 employees

Founded2021

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Spice AI use?

Spice AI is built on Rust, C/C++, and Go. Core dependencies include Apache Arrow, DuckDB, DataFusion, Iceberg, and Kubernetes. The platform integrates with Snowflake, Databricks, Starburst, Dremio, and Elasticsearch for data federation.