Users report that Prodly DevOps excels in Data Migration with a score of 9.4, highlighting its ability to seamlessly transfer data between environments, while Gearset, although strong, has a slightly lower score in this area.
Reviewers mention that Gearset shines in Automation, achieving a score of 9.2, which users appreciate for its robust automation features that streamline deployment processes, whereas Prodly DevOps scored 8.6 in this category.
G2 users indicate that Gearset offers superior Quality of Support with a score of 9.5, often praising the responsiveness and helpfulness of their support team, compared to Prodly DevOps's score of 9.0.
Users on G2 highlight that Prodly DevOps has a strong focus on Deployment-Ready Staging, scoring 8.6, which allows for effective pre-deployment testing, while Gearset outperforms with a score of 9.0, making it a preferred choice for users needing robust staging capabilities.
Reviewers say that both products perform well in Configuration Management, but Gearset's score of 9.0 is noted for its user-friendly interface that simplifies the management of configurations, while Prodly DevOps scored 8.7.
Users report that Gearset's Integration Variety is a standout feature, scoring 8.9, which allows for a broader range of integrations with other tools, while Prodly DevOps, with a score of 8.5, offers fewer options in this area.
Pricing
Entry-Level Pricing
Gearset
Automation
Starting at $500.00
1 Team Per Month
Available in Starter, Teams or Enterprise (request a quote)
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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