ETL Solutions Transformation Manager vs Palantir Gotham comparison

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Executive Summary

We performed a comparison between ETL Solutions Transformation Manager and Palantir Gotham based on real PeerSpot user reviews.

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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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.""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."

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"Back in the day, we could only get reports and analyze what happened after the fact, but today now we can generate real-time insights. Transformation Manager feeds your data science projects. We generate models and then give them to the clients, so they can come up with real-time predictions and recommendations in addition to reporting."

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"This solution is seamless. From one platform, we can do just about anything."

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Cons
"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.""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.""If you use JDBC Lookup, for example, it generally takes a long time to process data."

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"Transformation Manager reporting could be better. There are better options for reporting tools these days. We use Microsoft BI sometimes, but Tableau is becoming too expensive. Microsoft BI's visualization features are maturing."

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"I think there should be less coding involved. Currently, using it involves a tremendous amount of coding."

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Pricing and Cost Advice
  • "StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."
  • "It has a CPU core-based licensing, which works for us and is quite good."
  • "There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."
  • "The pricing is good, but not the best. They have some customized plans you can opt for."
  • More StreamSets Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It is really easy to set up and the interface is easy to use.
    Top Answer:We've seen a couple of cases where it appears to have a memory leak or a similar problem. It grows for a bit and then… more »
    Top Answer:We typically use it to transport our Oracle raw datasets up to Microsoft Azure, and then into SQL databases there.
    Top Answer:Back in the day, we could only get reports and analyze what happened after the fact, but today now we can generate… more »
    Top Answer:The pay-as-you-go model has replaced perpetual licensing, but many enterprises say they are paying more since moving to… more »
    Top Answer:Transformation Manager reporting could be better. There are better options for reporting tools these days. We use… more »
    Top Answer:This solution is seamless. From one platform, we can do just about anything.
    Top Answer:I think there should be less coding involved. Currently, using it involves a tremendous amount of coding. Performance in… more »
    Top Answer:We use this solution to help us ingest data, for data manipulation, and to enhance our workflows. We use this solution… more »
    Comparisons
    Also Known As
    Transformation Manager
    Learn More
    Overview

    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.

    Transformation Manager is an integrated development toolkit that is used to build data migration and data integration solutions more efficiently. A metadata-driven code generator, Transformation Manager provides users with the ability to generate lightweight, easy-to-deploy code. It combines a Graphical User Interface with a statement-driven mapping language. The Transformation Manager software derives metadata from the elements, attributes and relationships in a source and target model. Transformation Manager then uses rules specified by Simple Mapping Language (SML), which is specifically designed for implementing data transformation projects, to generate code written in Java.

    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.

    Offer
    Learn more about StreamSets
    Learn more about ETL Solutions Transformation Manager
    Learn more about Palantir Gotham
    Sample Customers
    Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
    Honda, BNP Paribas, RBS, JPMorgan, Volkswagen, Thorn Lighting, OpenSpirit, Rolls-Royce, Ulster Bank
    Team Rubicon, CGI
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company14%
    Manufacturing Company7%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Comms Service Provider9%
    Financial Services Firm8%
    Government7%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Comms Service Provider11%
    Government10%
    Financial Services Firm8%
    Company Size
    REVIEWERS
    Small Business14%
    Midsize Enterprise29%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise10%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise10%
    Large Enterprise67%
    Buyer's Guide
    Data Integration Tools
    November 2022
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration Tools. Updated: November 2022.
    653,757 professionals have used our research since 2012.

    ETL Solutions Transformation Manager is ranked 25th in Data Integration Tools with 1 review while Palantir Gotham is ranked 36th in Data Integration Tools with 1 review. ETL Solutions Transformation Manager is rated 9.0, while Palantir Gotham is rated 8.0. The top reviewer of ETL Solutions Transformation Manager writes "It lets us create models so we can generate real-time predictions and insights for a our clients". On the other hand, the top reviewer of Palantir Gotham writes "A seamless all-in-one solution ". ETL Solutions Transformation Manager is most compared with webMethods Integration Server, SSIS, Altair Monarch and Axway AMPLIFY Application Integration, whereas Palantir Gotham is most compared with Palantir Foundry, SAS Data Management, Azure Data Factory and Fivetran.

    See our list of best Data Integration Tools vendors.

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