Build Fast, Scalable AI Applications on AWS | Spice AI
Build Data-Intensive AI Applications on AWS Infrastructure
Spice AI partners with Amazon Web Services to help organizations build real-time, data-driven applications and AI agents. Through native integrations with AWS data services like S3, DynamoDB, Redshift, and AI services like Bedrock, Spice AI enables customers to accelerate development, reduce costs, and deploy production-ready AI applications across AWS infrastructure.
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Explore all AWS integrations in Spice AI
With Spice AI + AWS, Enterprises can:
Build high-performance, secure, and scalable AI applications with unified access to your AWS data and AI services
Federate Data Across AWS Services
Execute fast, low-latency SQL queries across Amazon S3, DynamoDB, Redshift, Aurora, RDS, and Amazon MSK with Spice.ai's unified query engine - no data movement required.
Integrate Amazon Bedrock AI
Connect Amazon Nova, Titan, Claude, and other foundation models through Amazon Bedrock for LLM inference and embeddings, with Bedrock Guardrails support for safe AI applications.
Vector Search with S3 Vectors
Build semantic search and RAG applications using Amazon S3 Vectors - a new S3 bucket type for sub-second similarity queries on billions of vectors at up to 90% cost reduction.
Deploy via AWS Marketplace
Purchase and deploy Spice.ai Enterprise through AWS Marketplace with consolidated billing, Private Offers support, and fast onboarding using your existing AWS procurement workflows.
Native AWS Data & AI Integrations
Spice AI provides deep integrations across the AWS ecosystem for data federation, AI inference, vector search, and secret management:
Amazon S3 & S3 Tables \
Query Parquet, CSV, and JSON files from S3 buckets. Access Iceberg tables in Amazon S3 Tables using AWS Glue catalog integration.](https://spiceai.org/docs/components/data-connectors/s3)
Amazon DynamoDB & Streams \
Federated SQL queries on DynamoDB tables with automatic schema inference and real-time CDC via DynamoDB Streams.](https://spiceai.org/docs/components/data-connectors/dynamodb)
Amazon Bedrock (Nova, Titan, Claude) \
LLM inference with Amazon Nova and embeddings with Titan. Supports Bedrock Guardrails for content filtering.](https://spiceai.org/docs/components/models/aws-bedrock)
Amazon S3 Vectors \
Sub-second similarity queries on billions of vectors with up to 90% cost reduction compared to traditional vector databases.](/content/blog/amazon-s3-vectors/index.html)
AWS Glue Data Catalog \
Discover and query tables from AWS Glue with glob pattern filtering. Supports Iceberg and Delta Lake table formats.](https://spiceai.org/docs/components/catalogs/glue)
Amazon Redshift, Aurora & RDS \
Connect to Redshift clusters, Aurora PostgreSQL/MySQL, and RDS instances with full SQL federation.](https://spiceai.org/docs/deployment/aws/integrations)
What Our Customers Say
Cloud Communications Platform
"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
AWS Marketplace Enterprise Solution
"Spice.ai Enterprise is available on AWS Marketplace, enabling teams to deploy with existing AWS billing and procurement workflows. With support for Private Offers, consolidated billing, and fast onboarding, enterprises can start building AI applications in minutes."
AWS Marketplace
Enterprise Solutions
About Spice AI
Spice AI helps enterprises build fast, accurate, and scalable AI applications and agents with its portable, open-source data and AI compute engine. It connects data from disparate sources including AWS services, simplifies application development, and supports workloads across cloud, edge, and on-premises systems.
Get started with Spice.ai Open Source in just 30 seconds: spiceai.org/docs/getting-started
Deploy on AWS Marketplace
Ready to deploy Spice AI on AWS? Get Spice.ai Enterprise from AWS Marketplace with consolidated billing, Private Offers support, and enterprise-grade SLAs.