As a Data Engineer I always wonder who builds and invests in GUI based data transformation tools.
They've been around for ages (Informatica, Pentaho, Talend, Matillion, Domo etc. etc.) and - in my professional experience - are the worst data tools to work with.
So the market is saturated, especially at the top end, the functionality and complexity of any pipeline is after a brief initial phase of quick development going to turn to horrible and nobody benefits except consultants like me who're called in to clean up the mess.
Last but not least, I've hardly seen any data professionals, analyst or engineer, who want to put GUI ETL Tool #10034 on their CV instead of SQL, dbt, Python and Airflow.
Why should any reasonably well sized company or data team want to adopt retable as is?
I'm all for augmenting the status quo with what ChatGPT has to offer, but the bundling seems massively counterproductive to me.
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[ 2.1 ms ] story [ 12.8 ms ] threadThey've been around for ages (Informatica, Pentaho, Talend, Matillion, Domo etc. etc.) and - in my professional experience - are the worst data tools to work with.
So the market is saturated, especially at the top end, the functionality and complexity of any pipeline is after a brief initial phase of quick development going to turn to horrible and nobody benefits except consultants like me who're called in to clean up the mess.
Last but not least, I've hardly seen any data professionals, analyst or engineer, who want to put GUI ETL Tool #10034 on their CV instead of SQL, dbt, Python and Airflow.
Why should any reasonably well sized company or data team want to adopt retable as is?
I'm all for augmenting the status quo with what ChatGPT has to offer, but the bundling seems massively counterproductive to me.