"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 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."
"It is really easy to set up and the interface is easy to use."
"The flexibility to use already-developed components is really good. You can use it for Excel-related operations and other things."
"The OCR was quite stable and flexible."
"The most valuable features are workflow and process automation."
"The pricing of the solution is quite good."
"The ability to script information from websites is most valuable. It also seems to be fairly robust and reasonably easy to manage on a server-based deployment. We have a number of robots operating on the central server."
"It is stable and scalable."
"Provides valuable tools working in integration with RPA tools."
"I like SharePlex's Compare and Repair tool."
"Because of the volume of the transactions, we heavily use a feature that allows SharePlex to replicate thousands of transactions. It's called PEP, Post Enhancement Performance, and that has helped us scale tremendously."
"There are some capabilities within SharePlex where you can see how the data is migrating and if it still maintains good data integrity. For example, if there are some tables that get out of sync, there are ways to find them and fix the problem on the spot. Since these are very common issues, we can easily fix these types of problems using utilities, like compare and repair. So, if you find something is out of sync, then you can just repair that table. It basically syncs that table from source to target to see if there are any differences. It will then replicate those differences to the target."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"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."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"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."
"Exception handling needs to be improved."
"There is really nothing special about the capabilities of this product."
"The product needs more AI capabilities."
"I would like to see them further enhance the OCR, specifically in the multi-language support."
"The solution could use some AI integrated features."
"We are on version 10.6, and the current version seems to be 11. Kofax is cycling the capabilities of the product very quickly. One of the difficulties has been to actually keep up with the capabilities as they've evolved. On the one hand, it is good that the product is getting better, but on the other hand, it is difficult to implement the best way with a product that is evolving constantly."
"The process discovery could be a bit better."
"The interface could be better from a usability standpoint."
"I would like the solution to have some kind of machine learning and AI capabilities. Often, if we want to improve the performance of posting, we have to bump up a parameter. That means we need to stop the process, come up with a figure that we want to bump the parameter up to, and then start SharePlex. Machine learning and AI capabilities for these kinds of improvement would tremendously help boost productivity for us."
"I would like more ability to automate installation and configuration in line with some of the DevOps processes that are more mature in the market. That would be a considerable improvement."
"I don't know how easy it would be to change the architecture in an already implemented replication. For example, if we have a certain way of architecting for a particular database migration and want to change that during a period of time, is that an easy or difficult change? There was a need for us to change the architecture in-between the migration, but we didn't do it. We thought, "This is possibly complicated. Let's not change it in the middle because we were approaching our cutover date." That was one thing that we should have checked with support about for training."
Kofax RPA is ranked 12th in Robotic Process Automation (RPA) with 7 reviews while Quest SharePlex is ranked 20th in Data Integration Tools with 3 reviews. Kofax RPA is rated 7.4, while Quest SharePlex is rated 9.0. The top reviewer of Kofax RPA writes "Stable, scalable, and provides flexibility to use already-developed components, but its documentation is not widely available and it needs a feature similar to Discovery Bot". On the other hand, the top reviewer of Quest SharePlex writes "Real-time replication means our data is available almost instantaneously if an issue occurs in one of our data centers". Kofax RPA is most compared with UiPath, ABBYY FlexiCapture, Blue Prism, Microsoft Power Automate and Automation Anywhere (AA), whereas Quest SharePlex is most compared with Oracle GoldenGate, AWS Database Migration Service, HVR Software and Qlik Replicate.
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