Really like the ability to do data transformation prior to loading into a proprietary database - allows for data integrity to remain intact Review collected by and hosted on G2.com.

Azure monitoring capability less than ideal for publishing of content Review collected by and hosted on G2.com.

I have worked on AF v1. The best part of this tool is that you can easily get it up and running with little knowledge. It provides out of the box feature to connect to most of the data sources. Review collected by and hosted on G2.com.

There is no way to create dependencies between run slices Review collected by and hosted on G2.com.

I love the simplicity and ease of use! Truly saves so much time and effort to have documents saved from different sources to one main drive for ease of use and finding. Review collected by and hosted on G2.com.

Getting started was a little tricky to get everything set up and fixed to store correctly but once you figure out how it works it truly is so simple Review collected by and hosted on G2.com.

Azure Data factory provides ability to build ETL processes in Azure, in simple and familiar for SQL developers way. You can deploy your SSIS packages there, you can select from a different types of sources like BLOB objects, Hadoop clusters or different kinds of relational databases. You can orchestrate your data movement using pipelines, which provides sets of actiities like extraction, transofmation and uploading of data to relational data warehouse for analytical processing. There are a lot of tools are supported by Data Factory, you can manage it with Azure Portal, Python, REST interface or ARM template. Review collected by and hosted on G2.com.

You will not be able to deploy your SSIS packages designed to run on-premises immediately, backwards compatibility is partial, so you will need to do some modification Review collected by and hosted on G2.com.

I like how well organized Azure is and that you can easily do what you need Review collected by and hosted on G2.com.

It seems like there are a lot of steps to accomplish certain items Review collected by and hosted on G2.com.

easy to use. the system interface suits my business for communication and analysis of data. Very good for working in teams. Hybrid data integration tool functions help monitor my business target achievements. Review collected by and hosted on G2.com.

interface is not clean when using code free data movement Review collected by and hosted on G2.com.

Creation of data movement and transformation processes wiithout deploying separate server for this. Very good when using it with Azure SQL databases and warehouses, as well as picking data from non-relational sources in cloud and on-premises, like different NoSQL databases, event hubs or even excel files or table storage. Data is being transformed in the way you need and put do DWH for further analysis. Can be used to deploy your existing SSIS packages, that were used on-premises. These will just need several adjustments to start working Review collected by and hosted on G2.com.

Overall complexity of product, need some time to get used with it Review collected by and hosted on G2.com.

I liked the scalability. My team really enjoys building systems using it. Review collected by and hosted on G2.com.

The subscription costs aren't ideal to be honest. Review collected by and hosted on G2.com.

Works very good with complex data set. Very nice data cloud solution. Review collected by and hosted on G2.com.

I don't think I can say something I dislike Review collected by and hosted on G2.com.

The most important thing with Data Factory is the ease of creating new pipelines. The pipelines are structures which you define to move data from Cloud to On-prem Sql Server. These pipelines can then be run at a particular time of day/week. Review collected by and hosted on G2.com.

The user interface needs a small change to make it intuitive. New users can get confused by the window pane positions and may delete their work inadvertantly. Review collected by and hosted on G2.com.