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A Developer's Guide to Understanding Spice.ai
Learn what Spice.ai is, when to use it, and how it solves enterprise data challenges. A developer-focused guide to federation, acceleration, search, and AI.

Operationalizing Amazon S3 for AI: From Data Lake to AI-Ready Platform in Minutes
Transform Amazon S3 from passive storage to an AI-ready platform. Real-world example using Spice and S3 for hybrid search and LLM inference.

Spice Cloud v1.11: Spice Cayenne Reaches Beta, Apache DataFusion v51, DynamoDB Streams Improvements, & More
v1.11 brings Spice Cayenne to Beta, DataFusion v51 and Apache Arrow v57.2, improved DynamoDB Streams, and more.

Real-Time Control Plane Acceleration with DynamoDB Streams
How to sync DynamoDB data to thousands of nodes with sub-second latency using a two-tier architecture with DynamoDB Streams and Spice acceleration.

How we use Apache DataFusion at Spice AI
A technical overview of how Spice extends Apache DataFusion with custom table providers, optimizer rules, and UDFs to power federated SQL, search, and AI inference.

2025 Spice AI Year in Review
From day one, Spice was designed to simplify building modern, intelligent applications. In 2025 that vision turned into reality.

Introducing Spice Cayenne: The Next-Generation Data Accelerator Built on Vortex for Performance and Scale
Spice Cayenne is the next-generation Spice.ai data accelerator built for high-scale and low latency data lake workloads.

Spice Cloud v1.10: Caching Acceleration Mode, DynamoDB Streams Support, & More!
Spice v1.10 includes a new caching acceleration mode, a new DynamoDB Streams data connector in preview, Amazon S3 location-based pruning, S3 Tables write support, and several performance and security improvements.

Spice Cloud v1.9.0: Introducing the Spice Cayenne Data Accelerator
Spice Cloud v1.9.0 adds the Cayenne Data Accelerator, Apache DataFusion v50, HTTP data connector support for querying endpoints as tables, and much more.

Write to Apache Iceberg Tables with SQL in Spice
Spice v1.8 adds native Apache Iceberg write support with standard SQL INSERT_INTO statements. Build complete data workflows without ETL - query, accelerate, and write from one runtime.

Real-Time Hybrid Search Using RRF: A Hands-On Guide with Spice
Learn how to build hybrid search with Reciprocal Rank Fusion (RRF) directly in SQL using Spice - combining text, vector, and time-based relevance in one query for faster, more accurate results.

Getting Started with Spice.ai SQL Query Federation & Acceleration
Learn how to use Spice.ai to federate and accelerate queries across operational and analytical systems with zero ETL.

