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Informatica Axon Logo
5,597 views|4,445 comparisons
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3,559 views|3,223 comparisons
Most Helpful Review
Find out what your peers are saying about Collibra, erwin, Inc., SAS and others in Data Governance. Updated: July 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
"The features that I have found most valuable are, first of all, that it comes as part of this whole bundle of Informatica tools. So if you've been implementing Informatica MDM across a business, you'd often find it comes with it. It's been thrown in as a sweetener. The adoption of it is often the challenge because as part of your MDM project, governance is seen as something beyond the MDM and is often restrictive. So this tool actually, for the first time, when you talk to data governance teams, gives a holistic view of what a data governance team can do with this tool.""The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC.""The feature of auto-onboarding of the assets, enterprise assets via EDC is good."

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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
"In terms of what could be improved, they need to create a rules repository. Business rules for the attributes that you have, keeping them in that central repository, and governance of them is something which Axon is lacking a bit. The Informatica Data Quality tool actually caters to that, so that's probably why they have not built that up in the Axon, but it is definitely something that can be built in to this product, as well.""I would like to see more API integration to have the capability to build a report using other third party reporting tools to streamline the operation.""The solution still is a bit manual in its functionality. We want t to be more automation-driven."

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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
"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."

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Questions from the Community
Top Answer: The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC.
Top Answer: You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible.
Top Answer: I would like to see more API integration to have the capability to build a report using other third party reporting tools allowing things to be streamlined.
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
4th
out of 39 in Data Governance
Views
5,597
Comparisons
4,445
Reviews
3
Average Words per Review
631
Rating
8.0
5th
out of 39 in Data Governance
Views
3,559
Comparisons
3,223
Reviews
1
Average Words per Review
1,897
Rating
6.0
Popular Comparisons
Also Known As
Axon, Diaku, Informatica Data Governance, Informatica Axon Data Governance
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Overview

Informatica Axon is designed to engage all constituencies, technical and business, to effectively govern an organization's data. The solution enables enterprise data governance programs across a wide array of industries including highly regulated industries such as financial services, healthcare, life sciences, insurance and others to connect people and data for better business decisions.

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 Axon
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Sample Customers
AIA Singapore, McGraw-Hill Education
Kaeser Kompressoren, HARTMANN
Top Industries
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider12%
Financial Services Firm9%
Insurance Company7%
VISITORS READING REVIEWS
Computer Software Company42%
Comms Service Provider13%
Manufacturing Company8%
Energy/Utilities Company5%
Find out what your peers are saying about Collibra, erwin, Inc., SAS and others in Data Governance. Updated: July 2021.
523,372 professionals have used our research since 2012.

Informatica Axon is ranked 4th in Data Governance with 3 reviews while SAP Data Hub is ranked 5th in Data Governance with 1 review. Informatica Axon is rated 8.0, while SAP Data Hub is rated 6.0. The top reviewer of Informatica Axon writes "Flexible, with good auto-onboarding, but needs better technical support services". 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 Axon is most compared with Collibra Governance, Alation Data Catalog, Microsoft Azure Purview and erwin Data Intelligence (DI) for Data Governance, whereas SAP Data Hub is most compared with SAP Data Services, Palantir Foundry, Azure Data Factory, SAP Process Orchestration and Talend Data Fabric.

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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.