![]() Databrew makes up for the transformation limitations of Glue with a larger library. With the DataBrew interface, you can interactively examine, profile, clean, and transform raw data. Glue DataBrew is a separate but related product offered by AWS for data preparation. Glue Studio also has a minimal set of connectors, working only with data sources and destinations running on AWS. Anything beyond simple transformations such as filters, joins, and mappings require users to write code or SQL. ![]() While Glue Studio provides a high-level graphical manner to define a flow, it has an extremely limited set of transformations. Glue Studio is a more traditional ETL tool with a visual job editor and data flow style user interface. Glue Studio enables administrators to run and monitor ETL data flows. Glue also contains a catalog of data flows and resulting datasets. Glue allows ETL developers to define data pipelines via a visual interface or coding. Glue is a serverless platform and toolset that can extract data from various sources, transform it in different ways (enrich, cleanse, combine, and normalize), and load and organize data in destination databases, data warehouses, and data lakes. ĪWS Glue is the ETL tool offered by Amazon Web Services. To learn more about cloud-only data integration platforms, please read our write-ups on Fivetran and Matillion. While improving ease of use and connectivity to cloud-born data, cloud-only data integration tools have very limited data transformation and platform capabilities. Many companies using Spark and Databricks for their data pipelines encounter data engineering costs that are spiraling out of control. While hand-coding data pipelines may seem like the simplest way to start, this approach does not scale, and it takes a great deal of time to code and deploy each data pipeline. ![]() In this report, GigaOm discussed many of the shortcomings of the ETL tools offered by the cloud vendors and the reasons why a third-party product makes more sense. GigaOm recently released a report, Analytics in the Cloud: Minimize Pain & Maximize Success, exploring many of the challenges and solutions encountered in a cloud data journey.
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