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Compare AWS Lake Formation vs. Azure Data Factory

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Featured Review
Find out what your peers are saying about AWS Lake Formation vs. Azure Data Factory and other solutions. Updated: November 2021.
552,305 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The most important advantage in using AWS Lake Formation is its ability to connect the data lake to the other technologies in AWS. This is what I advise my clients.""The solution has many features that are applicable to events such as audits.""The solution is quite good at handling analytics. It's done a good job at helping us centralize them."

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"The most valuable features are data transformations.""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.""In terms of my personal experience, it works fine.""From what we have seen so far, the solution seems very stable.""It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory.""The most valuable feature is the ease in which you can create an ETL pipeline.""It is easy to deploy workflows and schedule jobs.""The best part of this product is the extraction, transformation, and load."

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Cons
"The solution could make improvements around orchestration and doing some automation stuff on AWS front automation. It would be useful if we could use automation to build images and use hardened images which are CIS compliant.""For the end-users, it's not as user-friendly as it could be.""In our experience what could be improved are not the support, performance or monitoring, but at a managerial level, the very expensive professional services of AWS. This could be an area of improvement for them. It's too expensive to acquire their support."

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"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters.""If the user interface was more user friendly and there was better error feedback, it would be helpful.""The product could provide more ways to import and export data.""The pricing scheme is very complex and difficult to understand.""We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on.""We have experienced some issues with the integration. This is an area that needs improvement.""Real-time replication is required, and this is not a simple task.""Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."

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Pricing and Cost Advice
Information Not Available
"I would not say that this product is overly expensive.""The licensing cost is included in the Synapse.""This is a cost-effective solution.""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.""Understanding the pricing model for Data Factory is quite complex.""The licensing is a pay-as-you-go model, where you pay for what you consume.""Our licensing fees are approximately 15,000 ($150 USD) per month.""It's not particularly expensive."

More Azure Data Factory Pricing and Cost Advice »

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Questions from the Community
Top Answer: The solution is quite good at handling analytics. It's done a good job at helping us centralize them.
Top Answer: We occasionally work with third-party libraries and they fail to integrate with this product effectively. For the end-users, it's not as user-friendly as it could be. For example, if I have a Lake… more »
Top Answer: We primarily use the solution in order to build infrastructure. It's basically for building network infrastructure.
Top Answer: AWS Glue and Azure Data factory for ELT best performance cloud services.
Top Answer: Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up and… more »
Top Answer: Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
Ranking
8th
Views
1,516
Comparisons
1,103
Reviews
3
Average Words per Review
712
Rating
8.0
3rd
Views
26,751
Comparisons
21,970
Reviews
24
Average Words per Review
494
Rating
7.7
Comparisons
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Overview

AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

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.

Offer
Learn more about AWS Lake Formation
Learn more about Azure Data Factory
Sample Customers
bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid
Top Industries
VISITORS READING REVIEWS
Computer Software Company21%
Media Company16%
Comms Service Provider13%
Financial Services Firm8%
REVIEWERS
Computer Software Company31%
Insurance Company13%
Healthcare Company6%
Logistics Company6%
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider14%
Financial Services Firm6%
Energy/Utilities Company6%
Company Size
No Data Available
REVIEWERS
Small Business24%
Midsize Enterprise29%
Large Enterprise47%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise8%
Large Enterprise75%
Find out what your peers are saying about AWS Lake Formation vs. Azure Data Factory and other solutions. Updated: November 2021.
552,305 professionals have used our research since 2012.

AWS Lake Formation is ranked 8th in Cloud Data Warehouse with 3 reviews while Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 25 reviews. AWS Lake Formation is rated 8.0, while Azure Data Factory is rated 7.8. The top reviewer of AWS Lake Formation writes "Good security, excellent online resources and easy to set up". On the other hand, the top reviewer of Azure Data Factory writes "Easy to bring in outside capabilities, flexible, and works well". AWS Lake Formation is most compared with Snowflake, Microsoft Azure Synapse Analytics and Firebolt, whereas Azure Data Factory is most compared with Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration, Palantir Foundry and Denodo. See our AWS Lake Formation vs. Azure Data Factory report.

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We monitor all Cloud Data Warehouse 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.