Fivetran vs. Katalon

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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Katalon TestOps is well suited for an oraganization who want to organize their automation collections and have everything in one place. It provides good insight on test runs, failures and also helps in defect tracking. It is extremely easy to schedule and run test suites automatically. With the help of test history, it becomes easier to triage the report and identify if it is a product issue or a test flakiness. Also with the automation run scheduling features with custom options, user do not have to manually trigger the runs and just run the scheduler to do the job.

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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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• Easy to setup and quick to get started: As Katalon comes with built-in features a new automation tester can automate easily. Script creation time is quick.
• Test Analytics: Katalon also provides analytics which tells you the pattern of your automated tests at a different instance of time.
• Third Party Integration: Katalon provides amazing integration with 3rd party tools like JIRA, ALM, GIT, JENKINS, etc.
• Image-based testing: Katalon also provides inbuilt image based test automation.

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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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• Integration with Azure is painstakingly slow as it takes too much time to upload reports to Azure. When raised with the support team i was advised to contact Microsoft who promptly and correctly replied that its an issue with the katalon plugin.
• Non Responsive Customer Support. Several mails were replied late.
• The Desktop app uses too much memory when booting up and running tests even on a 16gb RAM.

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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Due to the slowness, there is an intermediate timeout. There is no other problem.

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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 love the support. They have provided answers and solutions for most of our questions or doubts that could come up. They also have provided basic tutorials on how to get familiarized with the program.

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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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Katalon Studio is above both the tools is due to its codeless test automation feature and having API, desktop, web, and mobile automation in one place but obviously there is room for improvement when desktop automation is of primary importance in the automation.

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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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• Support can be better: As mentioned before, katlon community is still growing but is currently a small community. If you are stuck, its hard to find help in the community and one has to reach out to the support for help. This takes a while before you can get solution to your problem.
• Result upload takes little longer time: It is been observed that uploading tests results takes little longer.
• Sometimes it gets hard to integrate: Since this is fairly a new tool, requires lot of learning curve to get the job done effectively.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info