I think the biggest drawback for CData AWS Glue Data Connectors is the cost. For a small organization, the licensing fee may exceed the cost of just building a few custom integrations. If you do not have the need for a lot of custom integrations, it might not be a good fit. Regarding everything else about CData AWS Glue Data Connectors, it is good. CData AWS Glue Data Connectors is not a full ETL replacement because it is focused mainly on connectivity. It is not intended to replace AWS Glue transformations, Spark jobs, DBT, or data quality frameworks, but for what it does, it is fairly good at that. What kept my rating from being higher than a seven is that CData AWS Glue Data Connectors is really good at what it does. The rating is not higher than that mainly because of the cost. The licensing fees are quite expensive, and in order to justify the use, you need to have a large number of integrated systems to justify that cost. Otherwise, it does not work financially.
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I think the biggest drawback for CData AWS Glue Data Connectors is the cost. For a small organization, the licensing fee may exceed the cost of just building a few custom integrations. If you do not have the need for a lot of custom integrations, it might not be a good fit. Regarding everything else about CData AWS Glue Data Connectors, it is good. CData AWS Glue Data Connectors is not a full ETL replacement because it is focused mainly on connectivity. It is not intended to replace AWS Glue transformations, Spark jobs, DBT, or data quality frameworks, but for what it does, it is fairly good at that. What kept my rating from being higher than a seven is that CData AWS Glue Data Connectors is really good at what it does. The rating is not higher than that mainly because of the cost. The licensing fees are quite expensive, and in order to justify the use, you need to have a large number of integrated systems to justify that cost. Otherwise, it does not work financially.