Users report that Gearset excels in its "Quality of Support," with a score of 9.5, which reviewers mention as a significant advantage when needing assistance during deployment processes. In contrast, Copado Essentials has a lower support rating of 8.6, indicating that users may experience longer response times or less effective support.
Reviewers mention that Copado Essentials shines in "Extensibility," scoring 9.7, which allows for greater customization and integration with other tools. Gearset, while still strong, has a lower extensibility score of 8.3, suggesting it may not offer as many options for tailoring the software to specific needs.
Users on G2 highlight Gearset's "Deployment-Ready Staging" feature, scoring 9.0, as a key benefit for teams looking to streamline their deployment processes. Copado Essentials, however, has a higher score of 9.5 in this area, indicating it may provide a more robust staging environment for users.
G2 users report that Gearset's "Automation" capabilities are rated at 9.2, which reviewers say helps in reducing manual tasks and improving efficiency. Copado Essentials, with a score of 9.4, is noted for its superior automation features, making it a better choice for teams focused on automating their workflows.
Users say that both products have strong "Ease of Use" ratings, with Gearset at 9.3 and Copado Essentials at 9.5. However, reviewers mention that Copado's interface is more intuitive, which can lead to a quicker onboarding process for new users.
Reviewers mention that while both products offer solid "Integration" capabilities, Copado Essentials scores higher at 9.1 compared to Gearset's 8.6. This suggests that users may find it easier to connect Copado with other tools in their tech stack, enhancing overall productivity.
Is there a way to get more detailed validation error results?
2 Comments
NN
The errors you see during gearset validation are actually coming from salesforce itself through Metadata API. So, I don't think gearset can help with that.Read more
How do you use Gearset in a Gitlab or Github environment?
2 Comments
MB
If you select your repository as the source or destination, it will push or pull data as expected to the desired branch. You could also select your VCS as...Read more
How do you divide your deployments
1 Comment
JM
Hi Evan. Large, complex deployments are one of the trickier things to get right.
The interlinking dependencies between items and some quirks of the...Read more
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