Hi Eduard, I tried to open an issue on the GitHub repository to request this change, but I discovered that creating new issues is restricted. Since I supose you have administrator and maintainer permissions, could you please open the issue or apply the change directly for us?
Here are the details for the update: - *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. Thank you very much for your time and for handling this for us! Best regards, Carmen Torremocha. On Tue, 23 Jun 2026 at 10:23, Eduard Tudenhöfner <[email protected]> wrote: > 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. >> >
