We performed a comparison between AWS Lake Formation and Azure Data Factory based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."We use AWS Lake Formation typically for the data warehouse."
"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."
"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services."
"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."
"Its integrability with the rest of the activities on Azure is most valuable."
"Data Factory's most valuable feature is Copy Activity."
"The most valuable features are data transformations."
"It is a complete ETL Solution."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"The most valuable feature of this solution would be ease of use."
"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."
"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."
"For the end-users, it's not as user-friendly as it could be."
"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."
"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."
"AWS Lake Formation's pricing could be cheaper."
"It falls short when it comes to more granular access control, such as cell-level or row-level entitlements which is a significant drawback for organizations that require precise control over who can access specific rows of data."
"The Microsoft documentation is too complicated."
"There's space for improvement in the development process of the data pipelines."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"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."
"We require Azure Data Factory to be able to connect to Google Analytics."
"The initial setup is not very straightforward."
"The support and the documentation can be improved."
"Data Factory's performance during heavy data processing isn't great."
AWS Lake Formation is ranked 12th in Cloud Data Warehouse with 5 reviews while Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews. AWS Lake Formation is rated 7.6, while Azure Data Factory is rated 8.0. The top reviewer of AWS Lake Formation writes "Strategically aligning data management in a multi-cloud environment with significant reporting challenges". On the other hand, the top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". AWS Lake Formation is most compared with Snowflake, Amazon Redshift, Microsoft Azure Synapse Analytics, BigQuery and Amazon EMR, whereas Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake 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.
