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Featured Review
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: November 2021.
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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
"Performance and flexibility-wise, they're very user-friendly."

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"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."

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Cons
"The initial setup was not very straightforward. Not complex, but not very simple either."

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"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."

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Pricing and Cost Advice
"Comparatively, their prices are a little bit too high."

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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 »
Ranking
32nd
Views
2,520
Comparisons
2,008
Reviews
1
Average Words per Review
661
Rating
7.0
7th
out of 39 in Data Governance
Views
3,464
Comparisons
3,091
Reviews
1
Average Words per Review
1,897
Rating
6.0
Comparisons
Also Known As
Informatica Integration Hub, Integration Hub
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Overview

Informatica Data Integration Hub empowers large organizations to embrace change and the opportunities of new applications and analytics systems, while managing storage in Hadoop as well as relational database and file store options. The centralized modern hubbased architecture is the foundation for agile and managed enterprise data integration. As the first to apply a publish/subscribe model to data integration linking big data, cloud, and traditional systems, Informatica delivers productivity and intelligent automation without compromising control.

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.

Offer
Learn more about Informatica Data Integration Hub
Learn more about SAP Data Hub
Sample Customers
Humana, Rabobank, State of Washington
Kaeser Kompressoren, HARTMANN
Top Industries
VISITORS READING REVIEWS
Computer Software Company38%
Comms Service Provider13%
Financial Services Firm7%
Government7%
VISITORS READING REVIEWS
Computer Software Company38%
Comms Service Provider14%
Manufacturing Company8%
Government6%
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: November 2021.
554,873 professionals have used our research since 2012.

Informatica Data Integration Hub is ranked 32nd in Data Integration Tools with 1 review while SAP Data Hub is ranked 7th in Data Governance with 1 review. Informatica Data Integration Hub is rated 7.0, while SAP Data Hub is rated 6.0. The top reviewer of Informatica Data Integration Hub writes "A centralized repository for orchestrating and sharing data but performance can be a little slow". On the other hand, 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". Informatica Data Integration Hub is most compared with Informatica PowerCenter, AWS Database Migration Service, Palantir Foundry, Azure Data Factory and Tamr, whereas SAP Data Hub is most compared with SAP Data Services, Palantir Foundry, Azure Data Factory, SAP Process Orchestration and Alation Data Catalog.

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.