Cloud to edge deployments
Deploy Spice anywhere, from lightweight sidecars to enterprise clusters. Choose the architecture that fits your performance, scale, and governance needs.
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
Sidecar deployments
Deploy Spice as a sidecar alongside your application for ultra-low latency. Ideal for real-time decision-making and embedded AI workloads, sidecar deployments simplify lifecycle management and improve data resiliency.
Microservice deployments
Run Spice as an independent microservice—scalable,fault-tolerant, and easy to replicate for high availability.
Tiered deployments
Combine sidecar and microservice patterns to support mixed access patterns. Separate critical-path workloads from less performance-sensitive tasks and optimize for both real-time responses and scalability across separate tiers.
Managed cloud deployments
Use the fully managed Spice.ai Cloud Platform for instant setup, automatic scaling, and zero operational overhead, enabling your team to stay focused on differentiated application development.
Edge deployments
Deploy Spice at the edge for real-time or distributed workloads. Run lightweight models on-device, process sensor data locally, and stay functional without the cloud—ideal for IoT, security, and autonomous systems.
Enterprise deployments
Spice.ai Enterprise supports large-scale, clustered deployments with advanced security, monitoring, and governance. Integrate directly with Kubernetes or Spice Cloud for maximum control and availability.
Integrations across all of 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.
Deployed in production
Run data-intensive workloads on a high-performance engine trusted by teams building real-time systems at scale.
“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
"What I like the most about Spice is that it’s very easy to collect data from different data sources, and I’m able to interact with this data and do everything in one place."
Dustin Warner
Director of Software Engineering, 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
