We performed a comparison between Palantir Gotham and Talend Data Management Platform 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.
"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."
"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 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."
"It is really easy to set up and the interface is easy to use."
"This solution is seamless. From one platform, we can do just about anything."
"The most valuable feature is the data loading and scripting language"
"I like everything about this product, but the biggest thing is the ease of use."
"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."
"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."
"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."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"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."
"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."
"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."
"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."
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.
The Palantir Gotham platform comprises a suite of capabilities for integrating many different data sources for secure, collaborative analysis. The platform serves as an enterprise knowledge base, containing the full record of an organization's collective analysis.
Palantir Gotham is ranked 36th in Data Integration Tools with 1 review while Talend Data Management Platform is ranked 20th in Data Integration Tools with 2 reviews. Palantir Gotham is rated 8.0, while Talend Data Management Platform is rated 9.0. The top reviewer of Palantir Gotham writes "A seamless all-in-one solution ". On the other hand, the top reviewer of Talend Data Management Platform writes "Allows us to capture large volumes of data from multiple sources and load it to the data lake". Palantir Gotham is most compared with Palantir Foundry, SAS Data Management, Azure Data Factory, Denodo and Informatica Enterprise Data Catalog, whereas Talend Data Management Platform is most compared with IBM InfoSphere DataStage, Talend Data Fabric, Talend Open Studio, SAP Data Services and Oracle Data Integrator (ODI).
See our list of best Data Integration Tools vendors.
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