# Edge to Cloud Deployments

## Edge to Cloud deployments

Deploy Spice anywhere, from a lightweight sidecar to an enterprise cluster. Choose the architecture that fits your performance, scale, and governance needs.

[Get a demo](https://meetings.hubspot.com/lukekim/talk-to-sales) [View the docs](https://spiceai.org/docs/deployment)

### Do more with your data

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

- 100x up to 100x faster queries
- 80% up to 80% cost savings on data lakehouse spend
- 2x 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.

[View the docs](https://spiceai.org/docs)

#### Microservice deployments

Run Spice as an independent microservice. Scalable, fault-tolerant, and easy to replicate for high availability.

[View the docs](https://spiceai.org/docs)

#### 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.

[View the docs](https://spiceai.org/docs)

#### Managed cloud deployments

Use the fully managed Spice Cloud Platform for instant setup, automatic scaling, and zero operational overhead, enabling your team to stay focused on application development.

[View the docs](https://spiceai.org/docs)

#### 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.

[View the docs](https://spiceai.org/docs)

### 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.

[See connectors](/content/integrations/index.html)

### 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_

0x

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

Walk through your use case with an engineer and see how Spice handles federation, acceleration, and AI integration for production workloads.

[Talk to an engineer](https://meetings.hubspot.com/lukekim/talk-to-sales)

### See Spice in action

Walk through your use case with an engineer and see how Spice handles federation, acceleration, and AI integration for production workloads.

[Talk to an engineer](https://meetings.hubspot.com/lukekim/talk-to-sales)