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  1. Home
  2. /Discussion
  3. /Show HN: Apache Iceberg FDW for Postgres
  1. Home
  2. /Discussion
  3. /Show HN: Apache Iceberg FDW for Postgres
Last activity 11h agoPosted Nov 26, 2025 at 9:48 AM EST

Apache Iceberg Fdw for Postgres

kiwicopple
1 points
0 comments

Mood

excited

Sentiment

positive

Category

startup_launch

Key topics

Postgres
Apache Iceberg
Data Integration
Database Extensions
This is a Postgres Foreign Data Wrapper for Postgres, which you can use to query Apache Iceberg. A FDW allows you to access and query data stored in external data sources as if they were native Postgres tables.

It is compatible with the Iceberg REST catalog and S3 Tables (AWS S3's latest offering). Currently it supports SELECT and INSERT operations.

You can map an entire Iceberg namespace into your Postgres database like this:

    import foreign schema "warehouse"
    from server iceberg_server 
    into "my_iceberg_warehouse";
And then query them using a standard SELECT query from your Postgres database:

    select * from warehouse.my_table where id = 42;
You can also create tables from within your Postgres database which will then be created inside Iceberg using the `create_table_if_not_exists` option:

    create foreign table new_table (
      id bigint,
      name text
    )
    server iceberg_server
    options (
      table 'warehouse.new_table',
      rowid_column 'id',
      create_table_if_not_exists 'true'
    );
The FDW extension used PGRX + the iceberg-rust libraries. The iceberg ecosystem is still very nascent, but we're excited about some architectural patterns it enables. We'll be adding a few resources to the ecosystem, including some libraries that make it easier to use. You can install this FDW on any self-hosted Postgres database and it's available today on the supabase platform.

Apache Iceberg FDW: Apache Iceberg FDW for Postgres

Snapshot generated from the HN discussion

Discussion Activity

Light discussion

First comment

2m

Peak period

1

Hour 1

Avg / period

1

Key moments

  1. 01Story posted

    Nov 26, 2025 at 9:48 AM EST

    11h ago

    Step 01
  2. 02First comment

    Nov 26, 2025 at 9:50 AM EST

    2m after posting

    Step 02
  3. 03Peak activity

    1 comments in Hour 1

    Hottest window of the conversation

    Step 03
  4. 04Latest activity

    Nov 26, 2025 at 9:50 AM EST

    11h ago

    Step 04

Generating AI Summary...

Analyzing up to 500 comments to identify key contributors and discussion patterns

Discussion (0 comments)

Discussion hasn't started yet.

ID: 46057877Type: storyLast synced: 11/26/2025, 2:50:10 PM

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