"It is really easy to set up and the interface is easy to use."
"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."
"In StreamSets, everything is in one place."
"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."
"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."
"It's on the cloud, so it's scalable and quite easy to work with."
"Having a single vendor supporting the entire suite of applications."
"GoldenGate's best features are the desktop security features."
"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time."
"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."
"This is an expensive solution compared to other products on the market."
"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."
"The initial setup was a little complex, and we required support from Oracle to complete it."
Earn 20 points
StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.
Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.
With StreamSets, you can deliver the continuous data that drives the connected enterprise.
Oracle Data Integrator Cloud Service provides pushdown data processing; high performance ETL with less data movement which is best for the Cloud. Oracle Data Integrator Cloud Service executes data transformations where the data lies without having to copy data unnecessarily to remote locations.
GoldenGate Cloud Service is a cloud based real-time data integration and replication service, which provides seamless data movement from various on-premises relational databases to databases in the cloud while maintaining data consistency and offering fault tolerance and resiliency.
Oracle Data Integrator Cloud Service is ranked 20th in Cloud Data Integration with 2 reviews while Oracle GoldenGate Cloud Service is ranked 25th in Cloud Data Integration with 1 review. Oracle Data Integrator Cloud Service is rated 7.6, while Oracle GoldenGate Cloud Service is rated 8.0. The top reviewer of Oracle Data Integrator Cloud Service writes "A well-established product that meets all our specifications in terms of usability". On the other hand, the top reviewer of Oracle GoldenGate Cloud Service writes "Scalable and flexible with great desktop security features". Oracle Data Integrator Cloud Service is most compared with Informatica Cloud Data Integration, Azure Data Factory, IBM InfoSphere DataStage and BMC Data Management for IMS and DB2 on zOS, whereas Oracle GoldenGate Cloud Service is most compared with AWS Database Migration Service, Azure Data Factory and Oracle Integration Cloud Service.
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