Gearset DevOps Reviews & Product Details

Gearset is a market leader for a reason in the Salesforce Dev Ops space, historically having been built to fill a crucial need in the marketplace it is seeing more competition lately from other competitors including Salesforce which is continuing to build out it's own Dev Ops tools but the gearset comparison tool for deploying metadata still is head and shoulders better than other solutions out there along with other tools like data backup, data deployment (including CPQ data deployment) and other solutions. Most recently utilizing metadata change monitoring and automated unit testing of code in an environment to monitor coverage levels have been particular helpful to my team and I and we look forward to utilizing the new AI Agent features gearset is making available when we have an opportunity to do so. Review collected by and hosted on G2.com.

Gearset has long been a market leader in the industry and their pricing reflects that which can be more expensive than some solutions. Certainly it is worth the investment in my opinion but some companies might find that to be a barrier to adoption if price is high on their priority list for a Dev Ops solution. If they can continue to innovative in the pricing space that will lower the barriers of entry for different customers to continue trying their advanced solutinos. Review collected by and hosted on G2.com.

There are too many good things to mention about Gearset. First and foremost, the product itself is extremely intuitive, capable, and customizable to our business processes. The way it can easily handle deployments across multiple Salesforce orgs declaratively is impressive. It's advanced capabilities (to name a few) include data masking, data seeding, CI/CD automations, GitHub integration, issue tracking automation (JIRA, Asana, etc) all declaratively is stellar. Gearset's performance is quite consistent and reliable, and we rarely run into any major issues.

Secondly, our entire Gearset team (account manager, customer success manager, support engineers) are extremely professional, accomodating, and knowledgeable. They're constantly ensuring our implementation meets our business needs and are able to provide all required support with extreme agility.

Gearset as a product has evolved dramatically in the few years I have been using it. It's now advanced AI capabilities and quite impressive! Review collected by and hosted on G2.com.

There aren't any major sources of discontent with Gearset in my experience. The only aspect which I wish could be improved is the speed of manual "compare and deploy". Sometimes org comparisons can take a while, and having that accelerated would be quite beneficial. Review collected by and hosted on G2.com.

Delta Deployments.

Specific Field Permission Deployment.

Dependency Management.

Source vs Target difference UI and ease of conflict resolution.

Full fledged CI/CD using pipelines.

Data Sets for Data Deployments.

Pre-Deployment Summary and Adjustments. Review collected by and hosted on G2.com.

Comparison load time is slower.

Wait time while cloning a package is slower.

Sometime some definite components are not visible for selection due to automatic change in Metadata filter settings.

Not able to select No Difference item to keep module package comprehensive all the time.

Customer Support

Maintenance Downtime. Review collected by and hosted on G2.com.

I really like how easy it is to move code from one environment to another. The comparison feature is especially helpful, since it makes it simple to spot the differences between environments. Review collected by and hosted on G2.com.

There’s nothing I dislike about Gearset; I’ve had a consistently positive experience with it. Review collected by and hosted on G2.com.

Gearset simplifies the pipeline from development to production by establishing clear guidelines and best practices for the team. As a manager, it’s easy for me to review how efficiently my team is operating and to see exactly where features currently sit in the pipeline. From a SOX perspective, I can also quickly export evidence that provides proof of testing and separation of duties. Salesforce DevOps has always been a complicated process, and Gearset has made it much easier to understand and manage with confidence. Review collected by and hosted on G2.com.

It’s hard to tell when a feature is available for a quick deploy, which makes planning and timing releases more difficult than it should be. This could be resolved with a small icon to let our team know if their deployment will take 10 minutes or 2 hours. Review collected by and hosted on G2.com.

The previous response is still accurate, but I think it is much better than competitors for the DevOPS lifecycle. I now use Copado extensively, which is a much more difficult to work with for Salesforce. It's a very easy use tool that intuitively makes a lot of sense. Review collected by and hosted on G2.com.

If it could also sit somehow on top of Salesforce that'd be incredible. That way wouldn't have to jump back and forth in the tool. Review collected by and hosted on G2.com.

Delta Deployment

Post deployment apex script execution

Dataset for Data deployments

Separate manage package visibility

Easy field permission deployment setup

Git integration was easy to setup

Very handy for small or big chuck deployments on daily basis

Predeployment summary is really well built to guide the deployment team Review collected by and hosted on G2.com.

Not able to include of 'No Difference' metadata in any package

Cloning package issue with No Difference metadata

Package save process could be better Review collected by and hosted on G2.com.

I use Gearset DevOps for comparing metadata between Salesforce Orgs, deploying changes, and managing data backups. What I like most about Gearset DevOps, besides its fantastic direct functionality, is the near real-time chat with a live agent for everything from 'how-to' questions to direct support for any issues that arise. Additionally, the initial setup was very easy and the onboarding team did a great job of accommodating and helping us through the process. Review collected by and hosted on G2.com.

Searching and filtering is a strong suit of Gearset DevOps, but I would love to be able to search through recent deployments for specific components that have been included to help determine when and by whom those components were deployed. I wish there was a way to be able to associate the specific user as the last modified of a component rather than the team shared user. Review collected by and hosted on G2.com.

We adopted Gearset DevOps for our end-to-end CI/CD solution for Salesforce, and it's been a gamechanger. Gearset saves us a ton of time on deployments and dramatically increases code quality, leading to a better, more stable environment. It gives us tools to analyze and manage technical debt, and we appreciate that we can keep our sandboxes up to date without full refreshes. The CI/CD workflows have sped up time to value for our Salesforce work, and Gearset's AI proactively identifies conflicts and deployment risks. The support, onboarding, and training have been world-class, guiding us every step of the way. The time savings alone probably paid for Gearset's cost, and its AI features help us launch better code. This is one of the best tech investments we've made in our Salesforce environments for years. Review collected by and hosted on G2.com.

There is not anything we dislike about Gearset. Review collected by and hosted on G2.com.

I use Gearset DevOps to compare orgs and branches, and it reliably deploys metadata, catching differences before they cause issues. I like the clarity of the compare and deploy UI, which shows exactly what's changing before I push. The UI displays a clean difference across orgs/branches with metadata-aware filters, helping me spot unintended changes and exclude noise. Pre-flight validation and test runs are just a click away, reducing failed deployments. The pipelines are quick to set up with approvals, test stages, and rollbacks, providing consistent promotion paths without custom scripting. Additionally, the initial setup of Gearset DevOps is very easy, and I'd rate it 9 out of 10. Review collected by and hosted on G2.com.

Handling very large, noisy compares can feel slow, and filtering out churned metadata like profiles and layouts still takes manual effort. Pricing and granularity can be problematic when you just need occasional pipeline users. It's painful when a developer's failed deployment puts other work in a queue, and Gearset support couldn't help with this issue. Review collected by and hosted on G2.com.