"It is really easy to set up and the interface is easy to use."
"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."
"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."
"In StreamSets, everything is in one place."
"The most valuable aspect of the solution is the ease of access to the data in those databases."
"The best thing I have found with Talend Open Studio is their major support for the lookups."
"The most valuable features are definitely data integration, data preparation, and data stewardship."
"The data integration aspect of the solution is excellent."
"Talend can connect to multiple data sources, including relational data sources, ERP, CRM, and others."
"A very user friendly solution."
"I can connect with different databases such as Oracle Database or SQL Server. It allows you to extract the data from one database to another. I can structure the data by filtering and mapping the fields. It is very user-friendly. You need to know the basics of SQL development or SQL queries, and you can use this tool."
"It is user-friendly and the interface is good."
"Talend is safe to use because it is very restrictive. It is easy to use when one learns how to manipulate data with SQL."
"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."
"I can't really recall any missing feature or general improvement that is needed. We don't really add too many new kinds of databases and therefore our needs are already met."
"The pricing could be lower. They should work to make it more affordable."
"The security features could be improved."
"We need more components to be more efficient. We use a lot of components, such as Salesforce, and it's not easy to use. There's are minor bugs and it's not easy to use some of the features."
"In terms of features, it has all the features that I need. However, it consumes a lot of resources. It is using a lot of RAM, and they need to fix the issue related to resource consumption. It currently requires more than 24 gigabytes of RAM, which is a big amount of RAM."
"It is not as visually appealing as some of the other tools."
"The product could be more intuitive."
"As for improvement or additional features, I would like to know how to use Java in Talend and also how to use Talend in the cloud or in big data. I would prefer to have storage directly on Talend."
"It doesn't have the ability to keep the repository of the source code (visual pipeline). It can be integrated with Git."
SAS Access is ranked 33rd in Data Integration Tools with 1 review while Talend Open Studio is ranked 4th in Data Integration Tools with 16 reviews. SAS Access is rated 9.0, while Talend Open Studio is rated 7.8. The top reviewer of SAS Access writes "Great for database access with an easy installation and good scalability". On the other hand, the top reviewer of Talend Open Studio writes "Popular open-source ETL tool in Singapore/ South East Asia; Connects to Big Data; Easy to spot errors with generated Java code". SAS Access is most compared with Toad Data Point, Mule Anypoint Platform, SSIS, IBM Cloud Pak for Data and Denodo, whereas Talend Open Studio is most compared with SSIS, AWS Glue, Azure Data Factory, Talend Data Fabric and IBM InfoSphere DataStage.
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