We performed a comparison between SAP Replication Server and SSIS based on real PeerSpot user reviews.
Find out in this report how the two Data Integration Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
"It is really easy to set up and the interface is easy to use."
"It is a very powerful, modern data analytics solution, in which you can integrate a large volume of data from different sources. It integrates all of the data and you can design, create, and monitor pipelines according to your requirements. It is an all-in-one day data ops solution."
"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."
"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."
"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."
"It speeds up the performance in terms of how fast you are able to access the data, look at it, get it reported to you, and send it to somebody. It also reduces the amount of storage."
"SAP is renovating different things. We are using external tools to connect as of now. It is going well, and now the new generation integration platforms are going to be pretty easy."
"We can customize any workflow and we also like the business domain modeling that can be done."
"Like most Microsoft products, SSIS is user-friendly and easy to use."
"The interface is very user-friendly."
"It is also easy to learn and user-friendly. Microsoft is also good in terms of technical support. They have built a large community all over the world."
"The initial setup was easy."
"Built in reports show package execution and messages. Logging can also be customized so only what is needed is logged. There is also an excellent logging replacement called BiXpress that provides both historical and real-time monitoring which is more efficient and much more robust than the built-in logging capabilities. And none of this requires custom coding to make it useful unlike many other ETL tools."
"The performance and stability are good."
"The most valuable features of SSIS are that it works with the query language and it can import data from different sources."
"The debugging capabilities are great, particularly during data flow execution. You can look into the data and see what's going on in the pipeline."
"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."
"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."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"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."
"Sometimes, when we have large amounts of data that is very efficiently stored in Hadoop or Kafka, it is not very efficient to run it through StreamSets, due to the lack of efficiency or the resources that StreamSets is using."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"Improvement is a never ending story, and HANA is doing some improvements. We are able to adopt that, and we have to do it by integration with HANA. They are very major changes that we need to see."
"The private solution is expensive. If you're in a situation where you're paying IBM or AWS or somebody just to host you specifically, you're paying people to run it and you're taking care of all the upgrades."
"I would like to see it become mobile-friendly."
"We purchase an add on called task factory primarily to allow bulk delete, update and upsert capability. I'd like to see this be part of the standard package."
"Sometimes we need to connect to AWS to get additional data sources, so we have to install some external LAN and not a regular RDBMS. We need external tools to connect. It would be great if SSIS included these tools. I'd also like some additional features for row indexing and data conversion."
"You have to write push down join & lookup SQL to the database yourself via stored procedures or use of the SQL Task to get very high performance. That said, this is a common complaint for nearly all ETL tools on the market and those that offer an alternative such as Informatica offer them at a very expensive add-on price."
"I would like to see more features in terms of the integration with Azure Data Factory."
"It should have other programming languages supported as well from a scripting perspective. Currently, only C# and VB.NET are supported, which limits it to .NET. It should have Java support as well."
"Options for scaling could be improved."
"SSIS can improve by the minimum code requirements in stored procedures and exporting data is difficult. They could make it easier, it should be as easy as it is to import data."
"SSIS doesn't have a very good user interface, but if you can work with it, it'll provide you with almost all of the functionality."
SAP Replication Server is ranked 32nd in Data Integration Tools with 3 reviews while SSIS is ranked 3rd in Data Integration Tools with 20 reviews. SAP Replication Server is rated 8.4, while SSIS is rated 7.8. The top reviewer of SAP Replication Server writes "Eliminates replication and allows you to use only one database, speeding up performance and reducing amount of storage". On the other hand, the top reviewer of SSIS writes "SSIS 2016 - The good, the bad, and the ugly". SAP Replication Server is most compared with Qlik Replicate, Oracle GoldenGate, HVR Software, Nutanix Database Services and SAP Data Services, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, Oracle Data Integrator (ODI), IBM InfoSphere DataStage and AWS Glue. See our SAP Replication Server vs. SSIS report.
See our list of best Data Integration Tools vendors and best Cloud Data Integration vendors.
We monitor all Data Integration Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
