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Correctly formats markdwon table in md #6494

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43 changes: 21 additions & 22 deletions docs/reference/offline-stores/overview.md
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Expand Up @@ -30,29 +30,28 @@ There are several additional implementations contributed by the Feast community
Details for each specific offline store, such as how to configure it in a `feature_store.yaml`, can be found [here](README.md).

Below is a matrix indicating which offline stores support which methods.

|| | Dask | BigQuery | Snowflake | Redshift | Postgres | Spark | Trino | Couchbase | Ray |
|| :-------------------------------- | :-- | :-- | :-- | :-- | :-- | :-- | :-- | :-- | :-- |
|| `get_historical_features` | yes | yes | yes | yes | yes | yes | yes | yes | yes |
|| `pull_latest_from_table_or_query` | yes | yes | yes | yes | yes | yes | yes | yes | yes |
|| `pull_all_from_table_or_query` | yes | yes | yes | yes | yes | yes | yes | yes | yes |
|| `offline_write_batch` | yes | yes | yes | yes | no | no | no | no | yes |
|| `write_logged_features` | yes | yes | yes | yes | no | no | no | no | yes |
| | Dask | BigQuery | Snowflake | Redshift | Postgres | Spark | Trino | Couchbase | Ray |
| :-------------------------------- | :-- | :-- | :-- | :-- | :-- | :-- | :-- | :-- | :-- |
| `get_historical_features` | yes | yes | yes | yes | yes | yes | yes | yes | yes |
| `pull_latest_from_table_or_query` | yes | yes | yes | yes | yes | yes | yes | yes | yes |
| `pull_all_from_table_or_query` | yes | yes | yes | yes | yes | yes | yes | yes | yes |
| `offline_write_batch` | yes | yes | yes | yes | no | no | no | no | yes |
| `write_logged_features` | yes | yes | yes | yes | no | no | no | no | yes |


Below is a matrix indicating which `RetrievalJob`s support what functionality.

|| | Dask | BigQuery | Snowflake | Redshift | Postgres | Spark | Trino | DuckDB | Couchbase | Ray |
|| --------------------------------- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|| export to dataframe | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes |
|| export to arrow table | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes |
|| export to arrow batches | no | no | no | yes | no | no | no | no | no | no |
|| export to SQL | no | yes | yes | yes | yes | no | yes | no | yes | no |
|| export to data lake (S3, GCS, etc.) | no | no | yes | no | yes | no | no | no | yes | yes |
|| export to data warehouse | no | yes | yes | yes | yes | no | no | no | yes | no |
|| export as Spark dataframe | no | no | yes | no | no | yes | no | no | no | no |
|| local execution of Python-based on-demand transforms | yes | yes | yes | yes | yes | no | yes | yes | yes | yes |
|| remote execution of Python-based on-demand transforms | no | no | no | no | no | no | no | no | no | no |
|| persist results in the offline store | yes | yes | yes | yes | yes | yes | no | yes | yes | yes |
|| preview the query plan before execution | yes | yes | yes | yes | yes | yes | yes | no | yes | yes |
|| read partitioned data | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes |
| | Dask | BigQuery | Snowflake | Redshift | Postgres | Spark | Trino | DuckDB | Couchbase | Ray |
| --------------------------------- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| export to dataframe | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes |
| export to arrow table | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes |
| export to arrow batches | no | no | no | yes | no | no | no | no | no | no |
| export to SQL | no | yes | yes | yes | yes | no | yes | no | yes | no |
| export to data lake (S3, GCS, etc.) | no | no | yes | no | yes | no | no | no | yes | yes |
| export to data warehouse | no | yes | yes | yes | yes | no | no | no | yes | no |
| export as Spark dataframe | no | no | yes | no | no | yes | no | no | no | no |
| local execution of Python-based on-demand transforms | yes | yes | yes | yes | yes | no | yes | yes | yes | yes |
| remote execution of Python-based on-demand transforms | no | no | no | no | no | no | no | no | no | no |
| persist results in the offline store | yes | yes | yes | yes | yes | yes | no | yes | yes | yes |
| preview the query plan before execution | yes | yes | yes | yes | yes | yes | yes | no | yes | yes |
| read partitioned data | yes | yes | yes | yes | yes | yes | yes | yes | yes | yes |