Yes. Keep online_stores and offline_stores as two JSON columns. Per-store pages render the two grids in their own sections, and integration page groups can filter on either column. A reader looking for stores that support DynamoDB online and Snowflake offline can land on a specific integration cut without scanning every per-store page first.

Use a point_in_time_joins column with values like exact, approximate, and not_supported, plus a join_semantics column with the vendor's phrasing. The template renders the value as a badge with a tone class, and a tooltip exposes the vendor wording for transparency. Buyers see both the structured value and the original claim side by side.

Add columns like embedding_support, vector_dimensions_max, ann_index_types, and supported_vector_dbs. These render as chips and badges on per-store pages and feed a /feature-stores/embeddings/ cut page that ranks stores by vector support. The same approach scales to any new feature class the category adopts.

Yes. The integrations sheet has its own ranking and verdict per integration. Per-store pages handle solo views, and the integration ranking drives the ordered list on each /feature-stores/{integration}/ page. If an integration row's ranking is empty, the template can fall back to alphabetical or to a templated rank derived from a few columns.

Add a deployment_model column with values like managed_saas, managed_paas, oss_self_hosted, and hybrid. Render a /feature-stores/open-source/ subset page filtered on oss_self_hosted, and let per-store pages cover the long tail. The same row data drives both views, with the OSS page concentrating on teams that need to run the store themselves.

Yes. A pricing_model column with values like usage_based, tiered_subscription, bundled_with_platform, quote_only, and free_oss covers the cases that matter. For stores like Databricks Feature Store that are bundled with a broader platform, the page renders a clear bundled callout instead of a fabricated standalone price.

Yes. Map an image URL column to og:image via the meta type, so each per-store page renders its own social card. For per-integration pages, the template can compose a side-by-side OG. Pairing with SleekPixel lets the OG render on the fly from row data, overlaying store name, primary online store, and pricing model on a styled background.

Add a deprecated_backends JSON column per store with backend slugs and sunset dates. The template renders a small notice via selector mapping when the column is non-empty, so readers see current and deprecated coverage on the same page. As backends sunset, the disclosure shape stays uniform across the catalog.