Open Standards in the Modern Data Stack: Postgres, OTel, and Iceberg

Open data standards are getting real buzz in the data world. A post on Supabase dives into open standards around Postgres, OTel, and Iceberg and what interoperability could mean for today’s tooling. The piece frames this as a practical push, not an idea game, and suggests the conversation will matter for how teams build and evolve data pipelines. ^[1]

What’s being discussed Postgres, OTel, and Iceberg are the focus as the post asks what interoperability looks like in a real-world stack. It foregrounds the idea that open standards should help tooling move data across storage, streaming, and analytics layers rather than lock data in silos. The piece also nudges readers to consider how these standards could influence migrations and upgrades. ^[1]

Why it matters for the data stack The discussion connects interoperability to practical outcomes for developers and operators. If these standards catch on, teams might enjoy simpler connectors and more consistent behavior across engines. The post signals that the trend could reshape how data is ingested, processed, and analyzed.

Closing thought: watch this space as Postgres, OTel, and Iceberg communities test open standards in the wild. Interoperability is becoming a design principle of the modern data stack.

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