Likelihood to Recommend One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
Read full review Ideal for daily standard ETL use cases whether the data is sourced from / transferred to the native connectors (like SQL Server) or FTP. Best if the company uses MS suite of tools. There are better options in the market for chaining tasks where you want a custom flow of executions depending on the outcome of each process or if you want advanced functionality like API connections, etc.
Read full review Pros It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it. As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues. It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier. Read full review Ease of use - can be used with no prior experience in a relatively short amount of time. Flexibility - provides multiple means of accomplishing tasks to be able to support virtually any scenario. Performance - performs well with default configurations but allows the user to choose a multitude of options that can enhance performance. Resilient - supports the configuration of error handling to prevent and identify breakages. Complete suite of configurable tools. Read full review Cons In-Stream schema registries feature people can not use this more efficiently in Connections feature they can add more connectors as well The crucial problem with AWS Glue is that it only works with AWS. Read full review SSIS has been a bit neglected by Microsoft and new features are slow in coming. When importing data from flat files and Excel workbooks, changes in the data structure will cause the extracts to fail. Workarounds do exist but are not easily implemented. If your source data structure does not change or rarely changes, this negative is relatively insignificant. While add-on third-party SSIS tools exist, there are only a small number of vendors actively supporting SSIS and license fees for production server use can be significant especially in highly-scaled environments. Read full review Likelihood to Renew Some features should be revised or improved, some tools (using it with Visual Studio) of the toolbox should be less schematic and somewhat more flexible. Using for example, the CSV data import is still very old-fashioned and if the data format changes it requires a bit of manual labor to accept the new data structure
Read full review Usability SQL Server Integration Services is a relatively nice tool but is simply not the ETL for a global, large-scale organization. With developing requirements such as NoSQL data, cloud-based tools, and extraordinarily large databases, SSIS is no longer our tool of choice.
Read full review Performance Raw performance is great. At times, depending on the machine you are using for development, the IDE can have issues. Deploying projects is very easy and the tool set they give you to monitor jobs out of the box is decent. If you do very much with it you will have to write into your projects performance tracking though.
Read full review Support Rating Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
Read full review The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.
Read full review Implementation Rating The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools
Read full review Alternatives Considered AWS Glue is a fully managed ETL service that automates many ETL tasks, making it easier to set AWS Glue simplifies ETL through a visual interface and automated code generation.
Read full review I had nothing to do with the choice or install. I assume it was made because it's easy to integrate with our SQL Server environment and free. I'm not sure of any other enterprise level solution that would solve this problem, but I would likely have approached it with traditional scripting. Comparably free, but my own familiarity with trad scripts would be my final deciding factor. Perhaps with some further training on SSIS I would have a different answer.
Read full review Return on Investment It had a positive impact on the way we build our data lake. It is the single source of truth for data structure (schemas/tables/views). Read full review Data integrity across various products allows unify certain processes inside the organization and save funds by reducing human labour factor. Automated data unification allows us plan our inputs better and reduce over-warehousing by overbuying The employee number, responsible for data management was reduced from 4 to 1 person Read full review ScreenShots