Compare Azure Data Factory vs. Denodo
 | Anonymous User Senior Manager at a tech services company |
Use Denodo? Share your opinion.
Find out what your peers are saying about Azure Data Factory vs. Denodo and other solutions. Updated: March 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:
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."
"The solution has a good interface and the integration with GitHub is very useful."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"From what we have seen so far, the solution seems very stable."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"The most valuable features are data transformations."
"Powerful but easy-to-use and intuitive."
"It is a go-to tool for data virtualization. The virtualization and data catalog are the features of why we chose Denodo."
"The data abstraction is the most valuable feature."
"The performance and the speed to market are the most valuable features of this solution."
"It allows a lot of traceability and you can decide what data you want to collect"
"Overall, the product works quite well and has a good set of features."
"The most valuable feature is Data Catalogs."
"The most valuable features are data lineage and the concept of a semantic layer."
Cons
"The thing we missed most was data update, but this is now available as of two weeks ago."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"The speed and performance need to be improved."
"The product could provide more ways to import and export data."
"The Microsoft documentation is too complicated."
"The data catalog certainly has room for improvement. It is functional but we look forward to development. We are in constant contact with Denodo and they are fully aware of our needs."
"The solution should have its own acceleration technology."
"The integration could use improvement, it's a lot of non-speed line processes that we have discovered, in the country. The configurations could use a lot more improvement."
"Documentation needs to be improved"
"We occasionally have some integration issues that we need to work through."
"The dropdown menus feel antiquated to me, and the administrative portals need improvement."
"The support is not the best and should be improved."
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"This is a cost-effective solution."
"The price you pay is determined by how much you use it."
"Understanding the pricing model for Data Factory is quite complex."
"I would not say that this product is overly expensive."
"I don't know the actual cost, but it's tens of thousands of dollars per month."
"The licensing should be improved, as the cost per connector is quite expensive."
Use our free recommendation engine to learn which Data Integration Tools solutions are best for your needs.
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Top Answer: AWS Glue and Azure Data factory for ELT best performance cloud services.
Top Answer: It allows a lot of traceability and you can decide what data you want to collect
Top Answer: The licensing costs cost extra.
Top Answer: Documentation needs to be improved, they need to lift their game. Finding information is difficult. I'm doing the training and they provide courses but it could be improved. I haven't tested the… more »
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Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.
Denodo operates in the data virtualization field– providing high performance, unified access to the broadest range of enterprise, big data, cloud and unstructured sources, and the most agile data services provisioning and governance – at less than half the cost of traditional data integration. Denodo’s customers have gained significant business agility and ROI by creating a unified virtual data layer that serves strategic enterprise-wide information needs for agile BI, big data analytics, web and cloud integration, single-view applications, and SOA data services across every major industry
Denodo Platform offers the broadest access to structured and unstructured data residing in enterprise, big data, and cloud sources, in both batch and real-time, exceeding the performance needs of data-intensive organizations for both analytical and operational use cases, delivered in a much shorter timeframe than traditional data integration tools.
The Denodo Platform drives agility, faster time to market, increased customer engagement from single view of customer and operational efficiencies from real-time business intelligence and self-serviceability.
Founded in 1999, Denodo is privately held, with main offices in Palo Alto (CA), Madrid (Spain), Munich (Germany) and London (UK).
Learn more about Azure Data Factory
Learn more about Denodo
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid
Autodesk, VHA, AAA, Sumitomo Mitsui Trust Bank, Caterpillar, European Chemical Agency, Seagate, Nationwide, Time Warner Cable, Pantex, Inditex, BNSF Railways, Vodafone, CIT Group, Jazztel, Wolters Kluwer, Telefonica, TransAlta
Insurance Company22%
Computer Software Company22%
Healthcare Company11%
Logistics Company11%
Computer Software Company38%
Comms Service Provider13%
Energy/Utilities Company6%
Insurance Company5%
Computer Software Company27%
Comms Service Provider12%
Financial Services Firm11%
Manufacturing Company6%
Small Business29%
Midsize Enterprise21%
Large Enterprise50%
Small Business63%
Midsize Enterprise25%
Large Enterprise13%
Find out what your peers are saying about Azure Data Factory vs. Denodo and other solutions. Updated: March 2021.
466,017 professionals have used our research since 2012.
Azure Data Factory is ranked 4th in Data Integration Tools with 19 reviews while Denodo is ranked 11th in Data Integration Tools with 7 reviews. Azure Data Factory is rated 7.8, while Denodo is rated 8.2. The top reviewer of Azure Data Factory writes "Reasonably priced, scales well, good performance". On the other hand, the top reviewer of Denodo writes "Good virtualization and data catalog features with strong technical support". Azure Data Factory is most compared with Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration, SAP Data Services and Mule Anypoint Platform, whereas Denodo is most compared with Delphix, Informatica PowerCenter, Informatica Enterprise Data Catalog, Mule Anypoint Platform and TIBCO BusinessWorks. See our Azure Data Factory vs. Denodo report.
See our list of best Data Integration Tools vendors.
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