Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.
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Salesforce Data Cloud
Score 8.1 out of 10
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Salesforce Data Cloud (formerly Salesforce Genie) is a solution to put data to work for customers. It is deeply embedded in the Einstein 1 Platform, which means any external data lake or warehouse can now drive actions and workflows inside of the Salesforce CRM.
$108,000
per year per org
Pricing
Azure Data Factory
Salesforce Data Cloud
Editions & Modules
No answers on this topic
Data Cloud for Marketing
$108000
per year per org
Offerings
Pricing Offerings
Azure Data Factory
Salesforce Data Cloud
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Azure Data Factory
Salesforce Data Cloud
Features
Azure Data Factory
Salesforce Data Cloud
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Data Factory
9.0
Ratings
7% above category average
Salesforce Data Cloud
5.5
Ratings
42% below category average
Connect to traditional data sources
9.00 Ratings
6.00 Ratings
Connecto to Big Data and NoSQL
9.00 Ratings
5.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Data Factory
8.5
Ratings
4% above category average
Salesforce Data Cloud
6.0
Ratings
30% below category average
Simple transformations
9.00 Ratings
6.00 Ratings
Complex transformations
8.00 Ratings
6.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
7.2
Ratings
10% below category average
Salesforce Data Cloud
7.2
Ratings
10% below category average
Data model creation
8.00 Ratings
7.00 Ratings
Metadata management
7.00 Ratings
9.00 Ratings
Business rules and workflow
7.00 Ratings
6.50 Ratings
Collaboration
6.00 Ratings
6.50 Ratings
Testing and debugging
7.00 Ratings
7.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
In a data pipeline, you will be able to add different kinds of activities for example connect from your on-premise SFTP and move CSV files to storage accounts. As well data factory has its own data flow if you are an ETL developer who experimented with maybe you have worked with SSIS, thus, you will start quickly with this new feature of the data factory.
Being a mid sized organization, the costing is achievable, but can’t say for those of startups. So I believe not suitable for small scale organizations and very well suited for large data analytics companies to gain market. Also, the maintenance is slightly difficulty and support for the product is comparatively slower than other similar products.
So far product has performed as expected. We were noticing some performance issues, but they were largely Synapse related. This has led to a shift from Synapse to Databricks. Overall this has delayed our analytic platform. Once databricks becomes fully operational, Azure Data Factory will be critical to our environment and future success.
it is easy to use after you get the hang of it. If you have an internal team of developers you will be able to maximise the usage a lot better. I would recommend it to people who need to organise data in a more unified way but I can’t speak to it from an infrastructure perspective as I’m not from the infrastructure team
We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue
Azure Data Factory fits well into our overall systems architecture where we already utilize largely Azure services and also Microsoft based products in the on-premises environment. I think cost structure is also very competitive with Azure Data Factory. Most services provide a visual interface for designing ETL workflows, but our team found Azure Data Factory's interface more intuitive.
I like Salesforce Data Cloud because like mentioned before, it is easy to use, easy to generate reports, create workflows, keep track of customer data, sales data, house data, etc. You can also import excel sheets with customer data as well and it will create the fields for you which is nice
Salesforce Data Cloud has a positive impact on me as a realtor because it is easy to generate reports on customer data and see what is needed to be bumped to the next level. We have to earn a certain commission by the end of the year and it makes it easy to see how close you are
It has a positive impact on keeping track of customers because it is nice to have it all in one place which is a nice time saver
I like that you can even see customer info from other agents making it nice to compare and try and pass others
Makes the customers journey smooth sailing because everything is in one place
