docs: promote Cayenne out of Beta; mark Postgres accelerator as Spice.ai Enterprise

Author: lukekim

website/docs/components/data-accelerators/cayenne/index.md

@@ -11,10 +11,6 @@ tags:
   - s3-express
 ---
 
-:::info Beta
-The Spice Cayenne Data Accelerator is in Beta.
-:::
-
 Spice Cayenne is a data acceleration engine designed for high-performance, scalable query on large-scale datasets. Built on [Vortex](https://github.com/vortex-data/vortex), a high-performance columnar file format, Spice Cayenne combines columnar storage with in-process metadata management to provide fast query performance to scale to datasets beyond 1TB.
 
 ## Why Vortex?
@@ -506,18 +502,13 @@ Query performance scales with available CPU cores. Vortex's columnar format supp
 
 Consider the following limitations when using Spice Cayenne acceleration:
 
-- **Beta Status**: Spice Cayenne is in active development. Configuration options may change between releases.
 - **File Mode Only**: Spice Cayenne only supports `mode: file` and does not support in-memory (`mode: memory`) acceleration.
 - **S3 Express Only**: Standard S3 buckets are not supported for remote storage. Only S3 Express One Zone directory buckets are supported.
 - **Unsupported Data Types**: `Interval`, `Duration`, `Map`, and `FixedSizeBinary` types require `unsupported_type_action` configuration.
 - **No Traditional Indexes**: Spice Cayenne does not support explicit index creation via the `indexes` configuration. Vortex's segment statistics and fast random access encodings provide equivalent or better performance for most point lookup workloads.
 - **No MVCC**: Multi-version concurrency control is not yet implemented. Snapshots and time-travel queries are planned for future releases.
 - **No File Compaction**: Automatic file compaction to reclaim space from deleted rows is not yet available.
 
-:::warning BETA SOFTWARE
-As a Beta feature, Spice Cayenne should be thoroughly tested in development environments before production deployment. Monitor release notes for updates, breaking changes, and new capabilities.
-:::
-
 ## Example Spicepod
 
 Complete example configuration using Spice Cayenne with performance tuning:

website/docs/components/data-accelerators/index.md

@@ -32,7 +32,7 @@ By default, datasets are locally materialized using in-memory Arrow records.
 | `cayenne`  | [Spice Cayenne][cayenne]        | Release Candidate | `file`, `file_create`, `file_update` |
 | `arrow`    | In-Memory Arrow Records         | Stable            | `memory`         |
 | `duckdb`   | Embedded [DuckDB][duckdb]       | Stable            | `memory`, `file` |
-| `postgres` | Attached [PostgreSQL][postgres] | Release Candidate | N/A              |
+| `postgres` | Attached [PostgreSQL][postgres] (Spice.ai Enterprise) | Release Candidate | N/A              |
 | `sqlite`   | Embedded [SQLite][sqlite]       | Release Candidate | `memory`, `file` |
 | `turso`    | Embedded [Turso][turso]         | Beta              | `memory`, `file` |
 

website/docs/components/data-accelerators/postgres/deployment.md

@@ -11,6 +11,10 @@ tags:
   - observability
 ---
 
+:::info Spice.ai Enterprise
+The PostgreSQL Data Accelerator is available only in [Spice.ai Enterprise](https://docs.spice.ai/docs/enterprise).
+:::
+
 Production operating guide for the PostgreSQL data accelerator — materializing source data into a dedicated PostgreSQL database or schema for durable, SQL-native acceleration.
 
 ## Authentication & Secrets

website/docs/components/data-accelerators/postgres/index.md

@@ -6,6 +6,10 @@ description: 'PostgreSQL Data Accelerator Documentation'
 sidebar_position: 5
 ---
 
+:::info Spice.ai Enterprise
+The PostgreSQL Data Accelerator is available only in [Spice.ai Enterprise](https://docs.spice.ai/docs/enterprise).
+:::
+
 To use PostgreSQL as Data Accelerator, specify `postgres` as the `engine` for acceleration.
 
 ```yaml