Camunda vs. SQL Server Integration Services (SSIS)

Camunda Platform is well suited for scenarios where there are different stages in a business flow and the flow is driven by user action at each stage. For example placing of an order on an ecommerce platform. Depending on whether user was able to make the payment or not the workflow would go to dispatch or retry stage. Now the retry stage would trigger further actions like sending follow up emails etc. Likewise, dispatch stage would have a different set of actions. Since every order is important and we need to know where it stands, using Camunda Platform is imperative. Camunda Platform might not be a right choice where just a one off thing needs to be done. For example, uploading of product information by user or periodic processing of heavy images by a worker. These are all either one step processes or periodic automated processes where we can track the status without using a business modeler like Camunda Platform.

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As I mentioned earlier SQL Server Integration Services is suitable if you want to manage data from different applications. It really helps in fetching the data and generating reports. Its automation make it very easy and time efficient. It works well with large database as well. But it doesn't work well with real time data, it will take some time to gather the real time data. I would not recommend using it in a real time/fast-paced environment.

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• Asynchronous functionality of Camunda Platform and different types of gateways.

• Standard ETL use cases for daily loads
• Loading incoming data from Vendors which is placed on FTP and adding them to the SQL Warehouse
• Creating outgoing data files and writing them to Vendor FTPs
• Easy Active Directory integration for seamless connections to SQL Server
• CI/CD by hosting the code on visualstudio.com

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• Camunda expects that you will develop your own user interfaces. This is either a benefit or a barrier depending on your perspective on packaged UI.
• As an open source vendor, Camunda is under-covered in analyst reports.

• Connection managers for online data sources can be tricky to configure.
• Performance tuning is an art form and trialing different data flow task options can be cumbersome. SSIS can do a better job of providing performance data including historical for monitoring.
• Mapping destination using OLE DB command is difficult as destination columns are unnamed.
• Excel or flat file connections are limited by version and type.

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Some features should be revised or improved, some tools (using it with Visual Studio) of the toolbox should be less schematic and somewhat more flexible. Using for example, the CSV data import is still very old-fashioned and if the data format changes it requires a bit of manual labor to accept the new data structure

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SSIS is a great tool for most ETL needs. It has the 90% (or more) use cases covered and even in many of the use cases where it is not ideal SSIS can be extended via a .NET language to do the job well in a supportable way for almost any performance workload.

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SQL Server Integration Services performance is dependent directly upon the resources provided to the system. In our environment, we allocated 6 nodes of 4 CPUs, 64GB each, running in parallel. Unfortunately, we had to ramp-up to such a robust environment to get the performance to where we needed it. Most of the reports are completed in a reasonable timeframe. However, in the case of slow running reports, it is often difficult if not impossible to cancel the report without killing the report instance or stopping the service.

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Camunda provides pretty standard product support offerings.

The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.

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The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools

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Lacks good documentation. Training and documentation is geared towards those who are already technically adept. Does not have as many data integrations as other full fledged products. Paid version of Camunda is not as fully fledged as other products.

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I think SQL Server Integration Services is better suited for on-premises data movement and ADF is more suited for the cloud. Though ADF has more connectors, SQL Server Integration Services is more robust and has better functionality just because it has been around much longer

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• The positive impact is that we are able to ensure the business process is being followed and that results in orders getting processed successfully leading to customer satisfaction and revenue
• Another positive impact is that we are able to track any anomalies and any errors in the order flow and retry them so that users don't have a negative experience.
• A negative point is that it is an overhead to maintain so there is significant engineering effort getting invested there

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• Without this, we would have to manually update a spreadsheet of our SQL Server inventory
• We would also have poor alerting; if an instance was down we wouldn't know until it was reported by a user
• We only have one other person who uses SQL Server Integration Services , he's the expert. It would fall to me without him and I would not enjoy being responsible for it.

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