# Spice Cloud v1.10: Caching Acceleration Mode, DynamoDB Streams Support, & More!

**Wyatt Wenzel**  
DevRel & Ops Leader at Spice AI  
December 10, 2025

Spice Cloud & Spice.ai Enterprise 1.10 are live!

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.

#### New in Spice Cloud: Persisted Metrics!

View complete monitoring history after restarts, ensuring no gaps in visibility.

Spice Cloud customers will automatically upgrade to v1.10 on [deployment](/content/login?from=landing/index.html), while Spice.ai Enterprise customers can consume the Enterprise v1.9.0 image from the [Spice AWS Marketplace listing](https://aws.amazon.com/marketplace/pp/prodview-jmf6jskjvnq7i).

#### What's New in v1.10

##### Caching Acceleration Mode

Spice's new **caching** acceleration mode provides stale-while-revalidate (SWR) behavior for accelerations with background refreshes, enabling file-persisted caching using Cayenne, DuckDB, or SQLite.

Figure 1: Spicepod.yaml caching acceleration configuration example

Learn more about getting started with caching accelerator in [in the acceleration docs](https://spiceai.org/docs/features/data-acceleration).

#### DynamoDB Streams Support (Preview)

The DynamoDB connector now integrates with DynamoDB Streams, enabling [real-time change-data-capture (CDC)](/content/feature/real-time-change-data-capture/index.html) for DynamoDB with automatic table bootstrapping and acceleration snapshots support.

Figure 2: DynamoDB Streams Spicepod.yaml configuration example

Learn more about using DynamoDB Streams [in the docs](/content/docs/components/data-connectors/dynamodb#streams/index.html).

#### S3 Data Connector Improvements

The S3 data connector now supports location-based predicate pruning - dramatically reducing data scanned by pushing down location filter predicates to S3 listing operations. And, AWS S3 Tables now have full read/write capability in Spice!

Figure 3: Location-based predicate pruning example

Figure 4: S3 writes example

[Learn more](https://spiceai.org/docs/components/data-connectors/s3) in the S3 data connector docs.

#### TinyLFU Cache Eviction Policy

TinyLFU is now available for the SQL results cache! TinyLFU is a probabilistic cache admission policy that maintains higher hit rates than LRU (Least Recently Used) while keeping memory usage predictable, making it ideal for workloads with uneven query patterns.

Figure 5: TinyLFU configuration example

Learn more in the [caching docs](https://spiceai.org/docs/features/caching).

#### Additional Updates

- [Search](/content/platform/hybrid-sql-search/index.html) optimizations for faster full-text-search (FTS) queries, reduced vector index overhead, and better limit pushdown.
- Security hardening including stronger identifier handling, expanded token redaction, and safe archive extraction.
- Developer experience updates including new health probe latency metrics and REPL history improvements.

For more details on v1.10, visit the [release notes](https://spiceai.org/releases/v1.10.0).

### New to the Spice Cookbook

##### DynamoDB Streams

Learn how to configure a Spice dataset to stream real-time changes from an AWS-hosted DynamoDB table using DynamoDB Streams. Watch as inserts, updates, and deletes automatically flow into Spice!

Try the DynamoDB Streams cookbook [here](https://github.com/spiceai/cookbook/tree/trunk/dynamodb/streams).

##### Caching Accelerator

This recipe walks you through the setup and core functionality for the new [caching accelerator](/content/use-case/datalake-accelerator/index.html), which provides intelligent caching for HTTP-based datasets with Stale-While-Revalidate (SWR) support.

Try the caching accelerator cookbook [here](https://github.com/spiceai/cookbook/tree/trunk/caching/accelerator).