We performed a comparison between SAP Data Hub and Talend Open Studio based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance."SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."
"The most valuable feature is the S/4HANA 1909 On-Premise"
"The API integration and big data approach are very good because of how you extract data from JSP files or big data web repositories like MongoDB."
"The product's initial setup phase was easy."
"The initial setup was quite straightforward. The deployment took between two and three days."
"Talend Open Studio is easy to create jobs. We use the basic functionality and it is very good."
"This solution has improved our overall time to value for data ingestion."
"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."
"There are many architectures: hybrid, cloud, and on-prem."
"The most interesting aspect of the solution for us is that Talend Open Studio has a good balance between the features and the cost of the data management platform."
"The company has everything offshore."
"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"It is not as visually appealing as some of the other tools."
"It doesn't have the ability to keep the repository of the source code (visual pipeline). It can be integrated with Git."
"The security features could be improved."
"If I compare Open Studion to other solutions, their interface is robust but not so fancy looking. This is an area that could use improvement. I would like to see an updated interface."
"It gets the job done but it's a bit slow."
"There used to be many Youtube channels that offered Talend training, but now there don't seem to be any. The solution should offer more online training resources."
"he overall marketing and documentation of this product need to improve a lot."
"The technical support and documentation need a lot of work to come up to standard."
SAP Data Hub is ranked 25th in Data Governance with 3 reviews while Talend Open Studio is ranked 5th in Data Integration with 47 reviews. SAP Data Hub is rated 7.6, while Talend Open Studio is rated 8.0. The top reviewer of SAP Data Hub writes "The solution is seamless, but the database sometimes leads to confusion". On the other hand, the top reviewer of Talend Open Studio writes "An open-source ETL tool, when deployed on-premises, requiring an easy installation phase". SAP Data Hub is most compared with Microsoft Purview, SAP Data Services, Alation Data Catalog, Azure Data Factory and Palantir Foundry, whereas Talend Open Studio is most compared with SSIS, IBM InfoSphere DataStage, Talend Data Fabric, AWS Glue and Talend Data Management Platform.
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