Azure Virtual Machines vs. Fivetran

If you want to host a dedicated Windows server on the cloud, and especially if you want to integrate it with your on premises Active Directory, Azure Virtual Machines should be your first choice. Obviously running Linux on Azure works very well too, but given Azure's pricing is not the cheapest, there are other providers out there that have a better cost-benefit ratio for Linux. That said, hosting Windows on Azure can be affordable (especially when compared to other providers) if you plan your licensing, topology, and application architecture correctly.

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Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.

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• When demand is high, we scale the service out, eg During a Football Match.
• When a football match is over and the throughput of data from OPTA drops we save by the service scaling back in.
• Our App Service Plans along with the Clean C# code are lightening fast giving a good customer experience.
• When producing the TV Guide information and a program overruns its scheduled time, a client can instantly be updated to the new programming schedule as our change is instant and its in the right place for all the clients to download and adjust their television guides appropriately to send out to the public giving a 24x7 uptime service that is precise and accurate and resilient to outages due to failover zones around the world.

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• Easily connects to source data using delivered connectors
• Transforms data into standard models and schemas
• Has very good documentation to help quickly setup connectors

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• Pricing can be a concern if you are truly agnostic to which cloud you are building your particular solution in.
• The UI, as is the case with any cloud provider, is crowded.
• As with any cloud provider, it can be difficult to tune in exactly the right amount of servers for your needs...you might find yourself under/overprovisioning.

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• Very difficult to get connectors enhanced if a specific needed object is not supported by them
• Depending on the edition needed and the data volumes, can get quite expensive

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definitely it will be renewed. considering the ROI and uptime.

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No VM console, weak management interface, changing CPU/memory is not straightforward. On the positive side, basic RDP functionality is good to have. As long as things are working, the ability to host Windows VMs is appreciated.

Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector.

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It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.

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I give the overall support for Azure Virtual Machines a 7 because I think while the overall support do a great job there are still areas that it could improve on such as efficiency and speed. So while I only give it a 7 and it has some issues it is still better than the overall support at Amazon EC2 Auto Scaling.

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Azure Virtual Machines offer unparalleled flexibility in provisioning, managing and upgrading the VM instances, both manually and programmatically. AVM offer very granular billing options and enables high costs optimisations (while still being costly). The other competitors I mentioned are very good at offering dead-cheap VMs. But if you need anything beyond that, especially for big computing, you need Azure Virtual Machines.

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We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.

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• It's so easy to spin up new instances, that it becomes also to easy to have to many of them to manage. Many teams end up with a couple of hundreds of VMs after a short while, making the whole thing very hard to maneuver
• Azure VMs are the next step for us to rely on Onprem servers, and leaving the management of the infrastructure to the professionals
• The ease of use, is also important when our main focus is to deliver new applications and integrations fast, and not having to worry about infrastructure. We sell bottles, not CPUs

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• It has been very positive in serving BI team with new source requests
• It has been OK at scaling to match as data volumes as source data size grows

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