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Hi Atlassian Community,
I'm looking for an honest comparison between TFS4JIRA Azure DevOps integration (by Appfire) and Exalate Jira Issue Sync 7 more (by iDalko).
I've found an article on the Exalate website/blog (biased of course) but would like opinions from Atlassian Partners or customers who've actually implemented an integration between Jira (Data Center) and Azure DevOps.
All constructive and critical feedback is welcome.
This is Majid from the Exalate team. So, now you know why this caught my eye :)
Exalate and TFS4Jira are both two-way synchronization apps with similar capabilities like syncing issue hierarchy, links, sub-tasks, fields like summary, description, comments, attachments, status, priority, assignee, etc. So, on the surface I believe both do the job that they were primarily designed to do, and do it well. Both support connecting with multiple Azure DevOps instances, whereas Exalate also supports multiple Jira instances. Both support a no-code integration, whereas Exalate also offers a scripting option.
The real difference in the tools would become evident if the use case gets customized and complex. With Exalate's scripting engine, you have a lot of power to control every aspect of the integration at a very granular level. In addition to this, data security and strict quality control at the development stage is something that is built into the Exalate experience, rather than being an addon.
So, in short, if your use case is fairly standard, either tool would perform adequately I believe. But if it is complex and dynamic, I would urge you to try both to gauge what you can achieve.
I'm on the TSF4JIRA product team, so I'll sit this one out (smile) but once you've had a chance to hear from some of our customers, if you still have questions, I'd be happy to put you in touch with our Product Manager. We can also arrange a demo to help you make a more informed decision between the two products and see which one would work best for your particular needs.
I'm on stand-by if you have questions in the meantime.