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SAP Data Hub vs Talend Data Fabric comparison

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Buyer's Guide
Data Governance
July 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
"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"

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"The Talend data integration has been one of the most valuable features."

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Cons
"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."

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"We are currently using version 7.3.1, but preferred the version before. The problem that we currently have is that Talend are releasing patches for Talend Studio every quarter. Our technical team has to be on top of these patches and constantly ensure everything is updated."

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Pricing and Cost Advice
  • "The Cloud is very expensive, but SAP HANA previous service is okay."
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  • "There are multiple subscriptions available with Talend, each with its own scope. Subscriptions depend on the number of users you have and how many remote engines you want to install."
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    Questions from the Community
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer:It is build based on the IoT implementations that we have. We are capturing a lot of data for a warehouse and manufacturing company. We capture data about how their machines are performing. For… more »
    Top Answer:The Talend data integration has been one of the most valuable features.
    Top Answer:Compared to Microsoft SSIS which is a drag and drop solution, the finishing touches are not as refined in Talend. The way you search for pallets in Talend could be improved.
    Top Answer:Data & ESB integration solution for a ecommerce company
    Ranking
    7th
    out of 42 in Data Governance
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    3,220
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    2
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    1,101
    Rating
    8.0
    31st
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    3,904
    Comparisons
    3,169
    Reviews
    1
    Average Words per Review
    339
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    Overview

    The SAP® Data Hub solution enables sophisticated data operations management. It gives you the capability and flexibility to connect enterprise data and Big Data and gain a deep understanding of data and information processes across sources and systems throughout the distributed landscape. The unified solution provides visibility and control into data opportunities, integrating cloud and on-premise information and driving data agility and business value. Distributed processing power enables greater speed and efficiency.

    Talend, a leader in cloud data integration and data integrity, enables companies to transform by delivering trusted data at the speed of business.
    Talend Data Fabric offers a single suite of apps that shorten the time to trusted data. Users can collect data across systems; govern it to ensure proper use, transform it into new formats and improve quality, and share it with internal and external stakeholders.

    Over 3,000 global enterprise customers have chosen Talend to help them turn all their raw data into trusted data to make business decisions with confidence — including GE, HP Inc., and Domino’s.

    Offer
    Learn more about SAP Data Hub
    Learn more about Talend Data Fabric
    Sample Customers
    Kaeser Kompressoren, HARTMANN
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company31%
    Comms Service Provider13%
    Manufacturing Company8%
    Government6%
    VISITORS READING REVIEWS
    Computer Software Company29%
    Comms Service Provider15%
    Financial Services Firm8%
    Government6%
    Company Size
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise12%
    Large Enterprise75%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    Buyer's Guide
    Data Governance
    July 2022
    Find out what your peers are saying about Collibra, Microsoft, Informatica and others in Data Governance. Updated: July 2022.
    620,319 professionals have used our research since 2012.

    SAP Data Hub is ranked 7th in Data Governance with 2 reviews while Talend Data Fabric is ranked 31st in Data Integration Tools with 1 review. SAP Data Hub is rated 8.0, while Talend Data Fabric is rated 8.0. The top reviewer of SAP Data Hub writes "Good push-down approach, on-premise connection, and integration with SAP products, but needs better performance and integration with other solutions". On the other hand, the top reviewer of Talend Data Fabric writes "Stable data services solution that offers great support for big data". SAP Data Hub is most compared with SAP Data Services, Qlik Replicate, Palantir Foundry, SAP Process Orchestration and Microsoft Purview, whereas Talend Data Fabric is most compared with Talend Open Studio, Talend Data Management Platform, Azure Data Factory, Informatica Cloud Data Integration and IBM Cloud Pak for Data.

    We monitor all Data Governance 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.