Big Data Integration & Transformation: A Comparative Analysis of SnapLogic and AWS Glue

Enterprise-level cloud databases pertinent to enterprises can be imported either through files or through an Application Programming Interface (API). Information that is stored in a document, before it can become an updated piece of data that is accessible in the database, must goes through a process. Some of the document processing covers actions such as, or are, business actions like; reading files, parsing input data, data validation, an API call, as well as the generation of a final report indicating records that have been imported from the document. Each time there is a new document to import; the previous procedures must be done all over again. To process the document various tools has to be used, for instance, AWS glue and Snaplogic are available in the market. These tools are predominantly used to integrate processes of data transfer between different applications and different data sources as well as to perform ETL or ELT depending on a specific scenario. Both the applications are nearly similar in having ETL and ELT facilities but the utilization of this type of application is different from one another depending on the client's requirement. This paper conducts the comparison between snaplogic and AWS glue based on all the relative characteristics such as the domain where it can be applied, flow, connector, difficulty level of using snaplogic and AWS glue and finally the major distinctions between the two platforms