# Spice Cloud v1.7.0: DataFusion v49, Full-Text Search Updates & More

Spice Cloud  
  
Wyatt Wenzel  
DevRel & Ops Leader at Spice AI September 24, 2025

Spice Cloud & Spice.ai Enterprise 1.7.0 are now live, bringing performance upgrades with DataFusion v49, real-time full-text search indexing, EmbeddingGemma support, and improvements across search, embeddings, and API integrations. Spice Cloud customers will automatically upgrade to v1.7.0 on [deployment](/content/login?from=landing/index.html), while Spice.ai Enterprise customers can consume the Enterprise v1.7.0 image from the [Spice AWS Marketplace listing](https://aws.amazon.com/marketplace/pp/prodview-jmf6jskjvnq7i).

#### What's New in v1.7.0

##### DataFusion v49 Upgrade

Spice now runs on **DataFusion v49**, delivering lower latency and improved [query optimization](/content/platform/sql-federation-acceleration/index.html).

Source: DataFusion v49 [Release Blog](https://datafusion.apache.org/blog/2025/07/28/datafusion-49.0.0/)

DataFusion v49 highlights include:

- Dynamic filters and pushdown to skip unnecessary reads in `ORDER BY & LIMIT` queries
- Compressed spill files to reduce disk usage during large sorts and aggregations
- Support for ordered-set aggregates with `WITHIN GROUP`
- New `REGEXP_INSTR` function to identify regex match positions

##### EmbeddingGemma Support

Spice now supports [**EmbeddingGemma**](https://deepmind.google/models/gemma/embeddinggemma/), Google's latest embedding model for text and documents. It delivers high-quality embeddings for semantic search, retrieval, and recommendation tasks. Configure it directly in your Spicepod via HuggingFace.

##### Embedding Request Caching

Repeated embedding requests can now be cached in the Spice runtime. This reduces both **latency** and **costs**, with configurable cache size and TTL options. Check out the [caching documentation](https://spiceai.org/docs/features/caching) for more details.

##### [Real-Time Indexing for Full Text Search](/content/platform/hybrid-sql-search/index.html)

Full-text indexing now supports real-time changes from [CDC streams](/content/feature/real-time-change-data-capture/index.html) such as Debezium. New events are searchable as they arrive, ensuring continuously fresh results.

##### OpenAI Responses API Tool Calls with Streaming

The [OpenAI Responses API](https://spiceai.org/docs/components/models/openai) in Spice now supports **tool calls with streaming**. Results from tools like `web_search` and `code_interpreter` are streamed as they're generated, enabling more responsive agent and application experiences.

##### Bug & Stability Fixes

v1.7.0 includes numerous fixes and improvements:

- CDC streams readiness and full-text indexing reliability
- Vector search pipeline and `vector_search` UDTF fixes
- Kafka schema inference, consumer group persistence, and cooperative mode
- Error reporting improvements (e.g., ThrottlingException handling)
- Iceberg connector support for `LIMIT` pushdown
- S3 Vector ingestion reliability and tracing fixes

#### v1.7 Release Community Call

We'll walk through highlights of v1.7 live on our **Release Community Call.** Join us to see the new functionality in action and bring your questions! [Register here](https://us06web.zoom.us/meeting/register/C5exRZqjS1mmZngTFpdD-A#/).

.png)Thursday, October 2nd Release community Call

### 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)