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ETL Solutions Transformation Manager vs FME comparison

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Data Integration Tools
June 2022
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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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.""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.""In StreamSets, everything is in one place."

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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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"It has a very friendly user interface. You don't need to use a lot of code. For us that's the most important aspect about it. Also, it has a lot of connectors and few forms. It has a strong facial aspect. It can do a lot of facial analysis."

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Cons
"We've seen a couple of cases where it appears to have a memory leak or a similar problem.""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.""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.""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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"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."

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Pricing and Cost Advice
  • "We are running the community version right now, which can be used free of charge."
  • "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."
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    Questions from the Community
    Top Answer:StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or… more »
    Top Answer:It has a CPU core-based licensing, which works for us and is quite good.
    Top Answer:One room for improvement is probably the GUI. It is pretty basic and a lot of improvement is required there. In terms of… more »
    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 »
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    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.

    FME is the data integration platform with the best support for spatial data. Run workflows on the desktop or deploy them in a server or cloud environment.

    Offer
    Learn more about StreamSets
    Learn more about ETL Solutions Transformation Manager
    Learn more about FME
    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
    Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company28%
    Insurance Company10%
    Financial Services Firm10%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Computer Software Company33%
    Comms Service Provider7%
    Government6%
    Financial Services Firm6%
    VISITORS READING REVIEWS
    Computer Software Company21%
    Government18%
    Comms Service Provider14%
    Energy/Utilities Company9%
    Company Size
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise13%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise10%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise14%
    Large Enterprise63%
    Buyer's Guide
    Data Integration Tools
    June 2022
    Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: June 2022.
    610,045 professionals have used our research since 2012.

    ETL Solutions Transformation Manager is ranked 25th in Data Integration Tools with 1 review while FME is ranked 29th in Data Integration Tools with 1 review. ETL Solutions Transformation Manager is rated 9.0, while FME 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 FME writes "You don't need to use a lot of code. For us, that's the most important aspect". ETL Solutions Transformation Manager is most compared with webMethods Integration Server, Kofax RPA, Altair Monarch, Axway AMPLIFY Application Integration and Palantir Gotham, whereas FME is most compared with Azure Data Factory, SSIS, Alteryx Designer, Talend Open Studio and Informatica PowerCenter.

    See our list of best Data Integration Tools vendors, best Data Integration Tools vendors, and best Cloud Data Integration vendors.

    We monitor all Data Integration Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.