"Data catalog and triggers are the two best features for me. AWS Glue has its own data catalog, which makes it great and really easy to use. Triggers are also really good for scheduling the ETL process."
"One of the best features of the solution is its ability to easily integrate with other AWS services."
"Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."
"All ETL code is stored in repositories in underlying database schemas. The number of users can access and work on the same solution using a client tool. So distributed teams can work on this tool in an efficient manner."
"The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly. There's a lot of knowledge modules available that we can use. If you want to connect, for example, a Sibyl, SQL, Oracle, or different products, we don't have to develop them from scratch. They are available, but if it's not, we can go into the marketplace and see if there's a connector there. Having the connector available reduces the amount of hard work needed. We only have to put the inputs and outputs. In some of the products, we use there is already integration available for ODI, which is helpful."
"The scalability is great. It's one of the reasons we chose the solution."
"There is a learning curve to this tool."
"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."
"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."
"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."
"The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS."
"The interface of ODI could be improved. For example, navigating and finding functions can be difficult. For example, you have to know which step you need to go to look at where your job status is. The logical step is a bit complex compared to other tools. It's much easier to get a graphical view, but with ODI, it's graphical, plus you have to know all the other pieces that fit around it. You have to think about the logical and physical aspects."
"There are certain things where it can be improved. Initial solution setup seems a bit complex at the start, it should be improved because it becomes bit tough for a novice to get started on this. Sometimes error description is not helpful to understand the problem it gives some generic type of errors which are at times not that helpful to understand the underlying root cause of the issue."
"The resource management aspect of the solution could be improved."
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL.
Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements: from high-volume, high-performance batch loads, to event-driven, trickle-feed integration processes, to SOA-enabled data services. Oracle Data Integrator (ODI) 12c, the latest version of Oracle’s strategic Data Integration offering, provides superior developer productivity and improved user experience with a redesigned flow-based declarative user interface and deeper integration with Oracle GoldenGate.
ODI12c further builds on its flexible and high-performance architecture with comprehensive big data support and added parallelism when executing data integration processes. It includes interoperability with Oracle Warehouse Builder (OWB) for a quick and simple migration for OWB customers to ODI12c. Additionally, ODI can be monitored from a single solution along with other Oracle technologies and applications through the integration with Oracle Enterprise Manager 12c.
AWS Glue is ranked 3rd in Cloud Data Integration with 5 reviews while Oracle Data Integrator (ODI) is ranked 5th in Data Integration Tools with 6 reviews. AWS Glue is rated 8.0, while Oracle Data Integrator (ODI) is rated 8.6. The top reviewer of AWS Glue writes "Easy to perform ETL on multiple data sources, and easy to use after you learn it". On the other hand, the top reviewer of Oracle Data Integrator (ODI) writes "I have used it to improve run-times of many corporations' overall integration run-times". AWS Glue is most compared with Talend Open Studio, AWS Database Migration Service, Informatica PowerCenter, IBM InfoSphere DataStage and Confluent, whereas Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, Informatica PowerCenter, SSIS, Oracle GoldenGate and SAP Data Services.
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