Hey Carmen,

you can just open a PR with the changes and somebody from the community
will review it.

On Tue, Jun 23, 2026 at 10:03 AM Carmen Torremocha <
[email protected]> wrote:

> Hi Iceberg Community,
>
> I am reaching out on behalf of *Dataddo* to request an update to our
> company’s definition/description listed on the official Apache Iceberg
> Vendors page ([
> https://iceberg.apache.org/vendors/](https://iceberg.apache.org/vendors/)
> ).
>
> To better reflect our current capabilities and integration with Apache
> Iceberg, we would like to update the text as follows:
>
>    -
>
>    *Current Description:* *Dataddo is a fully managed data integration
>    platform for moving enterprise data across cloud, on-prem, and hybrid
>    environments, with first-class support for open table formats including
>    Apache Iceberg. * Architecture - Dataddo runs a single control plane that
>    orchestrates data planes on AWS, Azure, GCP, sovereign clouds or
>    on-premises Kubernetes and OpenShift, so sensitive data never leaves your
>    network. * Transport patterns - Dataddo supports ETL/ELT, CDC, streaming,
>    reverse ETL, and batch delivery from hundreds of fully maintained
>    connectors. * Iceberg support - Dataddo writes to Apache Iceberg via
>    catalogs such as AWS Glue, REST and others, and automatically detects
>    source schema drift so downstream tables don't silently break. See
>    the Dataddo Platform for details.*
>    -
>
>    *Proposed Description:* *Dataddo is the enterprise data integration
>    platform built to eliminate the operational ownership risk of data
>    movement. *
>
>
>
> * Acting as the connective backbone of your organization, we provide a
>    fully managed connective layer that moves data to, from, and between AI
>    agents and systems, databases, ERPs and SaaS. Our platform automatically
>    handles API changes, schema drift, and sensitive data protection, providing
>    full, granular visibility into every data flow across complex environments,
>    including on-premise, hybrid, and cloud infrastructures.  By treating data
>    movement as mission-critical infrastructure rather than a project, Dataddo
>    enables your engineering teams to deploy with total reliability, allowing
>    them to focus on high-value AI outcomes instead of ongoing pipeline
>    maintenance.*
>
> Could someone please help us update this on the website, or let us know if
> we should open a specific GitHub issue/PR for it?
>
> Thank you for your time and for maintaining such a great community.
>
> Best regards,
> Carmen Torremocha.
>

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