Azure Data Factory Other Solutions Considered
AS
Avi Shvartz
CTO at a construction company with 1,001-5,000 employees
If we didn't have the solution, we would have to find another tool because data pipelines are an essential part of our business.
The biggest advantage to the solution is its integration with the Azure infrastructure that includes the active directory, security, Synapse, Data Lake, Power BI, and the data factory agent.
All of the integration was a big consideration for us. We had general guidelines that said working with one vendor would provide the best integrations. The guideline was to use Microsoft unless there was an issue.
We did not look at a third party or open source even though there are similar tools available.
View full review »We're using AWS apart from Azure Data Factory. We're trying out Palantir Foundry as well. They are the leading service providers in the data analytics and ETL world.
View full review »GM
GaryM
Data Architect at World Vision
We operate only with SSIS today, and it works very well for us. However, looking toward the future, we will need to eventually find a PaaS solution that will have longer sustainability.
View full review »Buyer's Guide
Azure Data Factory
April 2024
Learn what your peers think about Azure Data Factory. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,578 professionals have used our research since 2012.
We did not evaluate other options because this solution was aligned with out current work environment.
View full review »We looked at some other tools, such as Databricks, AmazonGlue, and MuleSoft.
We already had most of our infrastructure connected to Azure in some way. So the integration of where our data resided appeared to be simpler and safer.
View full review »I also use Denodo. Data Factory is like a transformation layer, but we need an additional staging database or a data storage facility, which is very expensive compared to implementing Denodo. So we extracted the data using Data Factory, then created a staging database with Azure SQL, which cost a huge amount since it's a physical data area. In Denodo, we just implement a layer, which is all handled in Denodo, and not a physical storage mechanism. I prefer customizable data solutions because they improve performance, creativity, and are helpful for front end people.
In comparison to Data Factory's drag-and-drop interface, Denodo developers need to create all the unified views by coding, so we have to create SQL queries to execute. With Data Factory, you can quickly drag and drop data or tables, but in Denodo, it takes more time because you need to code and test and all that.
View full review »AM
reviewer2378058
Senior Devops Consultant (CPE India Delivery Lead) at a computer software company with 201-500 employees
I wanted to compare Azure Data Factory with Fivetran.
AS
reviewer1501113
Senior Manager at a tech services company with 51-200 employees
We evaluated both Oracle and SAP before choosing Azure Data Factory.
View full review »TF
Thomas Fuchs
General Manager Data & Analytics at a tech services company with 1,001-5,000 employees
While clients might individually evaluate other options, however, we're not aware of that information. I can't say what other solution clients might consider before ultimately choosing Microsoft. I would say that it is likely Talend and maybe SQL Server Integration Services.
View full review »BS
Brian Sullivan
Chief Analytics Officer at Idiro Analytics
We were looking for a single solution, and Data Factory was the first one that interested us. I don't think we looked at many others. We were pretty set on Azure, and Data Factory seemed to fit our needs, so we didn't make a full comparison with the alternatives.
View full review »BM
Balan Murugan
Azure Technical Architect at a computer software company with 10,001+ employees
We also evaluated AWS.
View full review »SS
Soumyojit Sen
Director of Product Management at EIM solutions
We evaluated a solution by Talend before selecting the Azure Data Factory.
View full review »KS
Kamlesh Sancheti
Director at a tech services company with 1-10 employees
We were looking at certain other projects and products. For example, we were looking at Snowflake that has a data warehouse. But the project wasn't working. That's why we selected Azure. The primary reason is the skills are very easily available for Azure. The second is from our strategy perspective, because we were trying to be a Microsoft shop it fits into our strategy. That's all.
View full review »NK
reviewer982071
Delivery Manager at a tech services company with 1,001-5,000 employees
We have another team that is moving to AWS, but for now, we will continue working with Azure Data Factory. Once they have explored the AWS solution fully, we will compare the two.
View full review »Buyer's Guide
Azure Data Factory
April 2024
Learn what your peers think about Azure Data Factory. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,578 professionals have used our research since 2012.