Azure Data Factory vs. Azure Service Bus

Suitable for virtually any scenario that involves working with linked Service, so that it is possible to connect Azure Data Factory to storage services for SQL data in the cloud, and that it is possible to access them at any time. Serves to make the information much cleaner and have the desired formats and structures in case of working with time tracking or general employee work tracking applications, so it is easy to create accurate and aesthetically acceptable analysis for general tracking software. It is extremely useful if you do not have any data server service, as Azure Data Factory has the ability to maintain almost 90 different data connectors without the need to use a server.

Incentivized

If you need a cloud-based service bus or a simple to use queue/topic/routing/pub-sub service, then Azure Service Bus is a very good choice at a reasonable price and performance. Typically on-premise we'd use RabbitMQ because it "just works", but if you're building a "cloud-first" application, then this is the one to go with. It's especially easy to integrate with if you're already embedded in the Microsoft ecosystem.

Incentivized

• It allows copying data from various types of data sources like on-premise files, Azure Database, Excel, JSON, Azure Synapse, API, etc. to the desired destination.
• We can use linked service in multiple pipeline/data load.
• It also allows the running of SSIS & SSMS packages which makes it an easy-to-use ETL & ELT tool.

Incentivized

• Acting as a basic queuing service it works very well.
• One of the best parts is that Azure Service Bus can work over HTTPS which helps in strict firewall situations. There is a performance hit if you choose to use HTTPS.
• The routing capabilities are quite good when using topics and subscriptions. You can apply filters using a pseudo-SQL-like language though the correlation filters are quick and easy options.
• Costs are very reasonable at low-ish volumes. If you're processing 10's of millions of messages a month... it may be a different story.

Incentivized

• Limited source/sink (target) connectors depending on which area of Azure Data Factory you are using.
• Does not yet have parity with SSIS as far as the transforms available.

Incentivized

• The SqlFilter could be a little easier to use, but it's not terrible.
• The performance while using HTTPS for the connection is a little slow compared to direct connections using AMQP ports.
• There is a size limit to the message - unlike RMQ for instance, Azure Service Bus caps messages to 256kb on the standard tier.

Incentivized

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

Incentivized

The easy integration with other Microsoft software as well as high processing speed, very flexible cost, and high level of security of Microsoft Azure products and services stack up against other similar products.

Incentivized

RabbitMQ is simple and awesome... but so is Azure Service Bus. Both accomplish the same thing but in different environments. If you're building a cloud-native application - especially one that is serverless by design - Azure Service Bus is the only real choice in Azure. It works well, it's performance, and it's reasonably priced in the Standard tier. From our testing, RMQ is more performant, but it's hard to compare service-based implementations vs RMQ installed on VMs.

Incentivized

• It is very useful and make things easier
• Debugging can improve
• Its better suited than other products with the same objective

Incentivized

• Compared to open-source free software like RMQ, Azure Service Bus does have some costs to it. But the cost is reasonable.
• Also unlike RMQ, Azure Service Bus doesn't require you to stand up any hardware - so it's very easy to use and saves time/money from that perspective.

Incentivized