Scale SQL queries across distributed nodes

Extend from a single-node engine to a distributed cluster. Parallelize scans, joins, and inference across executors for high-performance, fault-tolerant processing.

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Do more with your data

Consolidate operational, analytical, and object store data into a governed and accelerated SQL query engine.

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faster queries

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cost savings on data lakehouse spend

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increase in data reliability for critical workloads

Declarative cluster configuration

Define distributed clusters directly in your Spice environment. Designate a master node and executor pool that register automatically with the scheduler—no external orchestration or complex setup required.

Parallel execution engine

Built on Apache Ballista and DataFusion, Spice distributes query stages across nodes for concurrent reads, joins, and aggregations. Each executor processes partitions independently and merges results in real time.

Automatic dependency management

Spice executors automatically detect and load dependencies—like embedding models or UDFs—from the master node. Runtime optimizers ensure each executor fetches only what’s required, reducing overhead.

Optimized query planning

A custom optimizer decomposes large scans into shuffle partitions and pushes projections closer to the data source. Less data movement, faster results, and lower network cost.

Integrations across all your data sources

Accelerate your data stack with a library of 30+ prebuilt connectors for the most common databases, warehouses, and file stores—from Databricks and S3 to MySQL and PostgreSQL.

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Deployed in production

Run data-intensive workloads on a high-performance engine trusted by teams building real-time systems at scale.

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“Spice opened the door to take these critical control-plane datasets and move them next to our services in the runtime path."

Peter Janovsky

Software Architect, Twilio

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Faster queries

“It just spins up and works, which is really nice. The responsiveness is amazing, which is a huge gain for the customer.”

Darin Douglass

Principal Software Engineer, Barracuda

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"Partnering with Spice AI has transformed how NRC Health delivers AI-driven insights. By unifying siloed data across systems, we accelerated AI feature development, reducing time-to-market from months to weeks - and sometimes days. With predictable costs and faster innovation, Spice isn't just solving some of our data and AI challenges - it’s helping us redefine personalized healthcare.”

Tim Ottersburg

VP of Technology, NRC Health

See Spice in action

Get a guided walkthrough of how development teams use Spice to query, accelerate, and integrate AI for mission-critical workloads.

Get a demo

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