# Gearset DevOps Reviews **Vendor:** Gearset **Category:** [DevOps Platforms](https://www.g2.com/categories/devops-platforms) **Average Rating:** 4.7/5.0 **Total Reviews:** 260 ## About Gearset DevOps Gearset is the global leader in Salesforce DevOps. It’s a DevOps platform that helps organizations manage, automate, and govern the full Salesforce development lifecycle, from planning and deployment to testing, data management, and compliance. The platform is designed for Salesforce teams that need reliable, scalable DevOps processes across complex org environments. Gearset is used by mid-market and enterprise organizations across regulated and non-regulated industries, including healthcare, financial services, insurance, and technology. Typical users include Salesforce administrators, developers, DevOps engineers, release managers, and platform owners responsible for maintaining deployment quality, security, and operational consistency. The platform supports a wide range of Salesforce use cases, including metadata and CPQ deployments, CI/CD automation, code review workflows, sandbox seeding, test automation, and monitoring. As well as deployment automation, Gearset includes tools for Salesforce data protection and long-term data management, such as automated backups, data restore, and archiving. Observability and Org Intelligence features provide insight into org health, deployment risk, and system changes over time. Gearset also includes governance and compliance capabilities designed for enterprise environments. These features help teams maintain audit readiness and enforce access controls while supporting compliance frameworks such as SOX, ISO, HIPAA, and GDPR. The platform is delivered as a managed service and integrates with Salesforce environments without requiring complex local infrastructure. Key features and capabilities include: - Salesforce metadata, CPQ, and data deployments with CI/CD automation and version control integration - Code review, test automation, and release validation to support quality and consistency - Automated Salesforce backups, restore, and data archiving for data protection and retention - Sandbox seeding, observability, and Org Intelligence to support environment management and visibility - Governance features including audit trails, role-based access controls, and compliance support Gearset is a Salesforce Partner and has supported Salesforce teams globally since 2015. The platform is used by organizations managing multiple orgs (across regions), frequent releases, and complex compliance requirements, helping teams reduce deployment risk, improve operational visibility, and maintain control over Salesforce change management processes. ## Gearset DevOps Pros & Cons **What users like:** - Users appreciate the **ease of use** of Gearset DevOps, enabling efficient Salesforce deployment management without extensive expertise. (25 reviews) - Users value the **effortless deployment process** with Gearset, enhancing efficiency and minimizing human error in Salesforce environments. (21 reviews) - Users value the **easy deployment** process with Gearset DevOps, allowing teams to focus on delivering changes efficiently. (17 reviews) - Users praise Gearset DevOps for its **fast and effective customer support** , ensuring quick resolution of issues when needed. (16 reviews) - Users value the **deployment ease** of Gearset DevOps, appreciating its smooth process and intuitive interface. (15 reviews) - Reliability (12 reviews) - Users commend the **dedicated support team** at Gearset for maximizing their platform experience and aiding deployment processes. (11 reviews) - Integrations (10 reviews) - Time-saving (10 reviews) - Easy Integrations (9 reviews) **What users dislike:** - Users experience **deployment issues** with missing translations and unclear timelines, complicating their release planning. (6 reviews) - Users find the **complexity** of Gearset DevOps challenging, especially with data migrations and CI/CD setup difficulties. (4 reviews) - Users face challenges with **data management limitations** , including difficulties with complex migrations and partial metadata support. (4 reviews) - Users find the **high cost** of Gearset DevOps a significant hurdle, impacting approval processes despite its value. (4 reviews) - Users face **missing features** in Gearset DevOps, including translation deployment and limited support for complex data migrations. (4 reviews) - Difficult Navigation (3 reviews) - Users occasionally face **merge conflict limitations** that restrict options, impacting their workflow in certain scenarios. (3 reviews) - Users find Gearset to be **pricey for larger teams** , affecting overall accessibility and budget considerations. (3 reviews) - Users note the **lack of community support** for Gearset, making assistance hard to find when needed. (2 reviews) - Complex Setup (2 reviews) ## Gearset DevOps Reviews ### 1. Reliable Automation and Efficient Environment Syncing **Rating:** 5.0/5.0 stars **Reviewed by:** Saul B. | Salesforce Administrator, Small-Business (50 or fewer emp.) **Reviewed Date:** April 11, 2026 **What do you like best about Gearset DevOps?** The automation features are fantastic, especially the diff tool which gives me a crystal-clear view of the discrepancies between our sandboxes and our QA or UAT environments. I also find the rollback functionality to be a massive safety net; it’s incredibly quick and effective if we ever need to revert a change. It just feels like a natural extension of our Salesforce ecosystem. **What do you dislike about Gearset DevOps?** I’ve run into some friction with controlling value dependencies that the tool couldn't quite handle automatically. I’d also love to see the data seeding process become a bit more user-friendly. Specifically, navigating that section and using templates could be simplified to make it faster to populate our test environments with relevant data. **What problems is Gearset DevOps solving and how is that benefiting you?** It essentially removes the bottleneck of native Salesforce change sets. By expediting our deployments and identifying hidden dependencies or validation errors before they ever hit production, it streamlines our entire release cycle. This proactive approach saves us a significant amount of time and prevents late stage deployment failures. ### 2. Powerful Yet Easy to Pick Up—Gearset Scales Smoothly as You Grow **Rating:** 5.0/5.0 stars **Reviewed by:** Winnie K. | Systems Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** April 10, 2026 **What do you like best about Gearset DevOps?** Gearset strikes a rare balance between being incredibly powerful and surprisingly easy to pick up. I really love how quickly you can get the initial setup running, we started with a very small, specific scope and were able to scale our usage naturally as our strategy evolved. **What do you dislike about Gearset DevOps?** While the out of the box integration are great for standard workflow, they can feel a bit restrictive if you have highly specific or complex architectural needs. We have found that some of the pre built connection have limitations, which eventually forced us to set up custom asynchronous webhooks to bridge the gaps and get the exact date flow we required. **What problems is Gearset DevOps solving and how is that benefiting you?** It essentially saved us from a mess of manual deployment task by helping us build an automated pipeline almost instantly. It's also been key in standardizing our branching our strategy across all our different Salesforce orgs. ### 3. #1 Dev Ops Solution for Salesforce Consultants and Customers **Rating:** 5.0/5.0 stars **Reviewed by:** Jeff K. | Chief Executive Officer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** April 25, 2023 **What do you like best about Gearset DevOps?** 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. **What do you dislike about Gearset DevOps?** 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. **What problems is Gearset DevOps solving and how is that benefiting you?** Need an effective solution for deployments as a Salesforce consultant, this is our bread and butter solution when working with clients and what we also recommend that they try out for themselves and see how it works for them. ### 4. Reliable and Powerful Declarative Automations for Salesforce Deployments! **Rating:** 5.0/5.0 stars **Reviewed by:** Tapan P. | Senior Salesforce DevOps Lead, Enterprise (> 1000 emp.) **Reviewed Date:** March 27, 2026 **What do you like best about Gearset DevOps?** 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! **What do you dislike about Gearset DevOps?** 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. **What problems is Gearset DevOps solving and how is that benefiting you?** Gearset manages my company's Salesforce deployments (manual, GitHub integrations, CI/CD jobs, data masking, data seeding) and integrates with our issue tracking systems seamlessly. ### 5. Powerful Delta Deployments & CI/CD Pipelines with Smooth Release & Pre-Deployment Guardrails **Rating:** 4.0/5.0 stars **Reviewed by:** Animesh P. | Supervisor, Small-Business (50 or fewer emp.) **Reviewed Date:** March 06, 2026 **What do you like best about Gearset DevOps?** 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. **What do you dislike about Gearset DevOps?** 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. **What problems is Gearset DevOps solving and how is that benefiting you?** Gearset is enabling us to execute deployment with JIRA specific changes only even when a particular component contains changes from multiple developers working on different JIRAs. It has providing us easy UI to analyze the difference between source and target and do conflict resolution accordingly. It also enables easy commit to GIT branches for version control and back ups. It shows what could be the probable deployment failure reason prior to the deployment to make it more likely to succeeded. ### 6. Effortless Environment Deployments with a Helpful Comparison Feature **Rating:** 5.0/5.0 stars **Reviewed by:** Allison M. | IT Analyst II, Small-Business (50 or fewer emp.) **Reviewed Date:** March 06, 2026 **What do you like best about Gearset DevOps?** 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. **What do you dislike about Gearset DevOps?** There’s nothing I dislike about Gearset; I’ve had a consistently positive experience with it. **What problems is Gearset DevOps solving and how is that benefiting you?** We currently deploy code using the compare and deploy feature. For several metadata types, Gearset makes it possible to deploy specific lines of code, which is incredibly helpful when I need to move one feature to production while another feature is still being worked on in the same metadata components. I use Gearset multiple times throughout the day and it is very easy to use. The customer support is great too. There is a chat feature inside Gearset that I am able to utilize whenever I have issues I cannot figure out. I get a response in 10 minutes or less. Additionally, we are assigned a CSM, Max Crawley-Moore, and have quarterly calls with him. Max is there whenever I need him and he supports me in implementing new features, planning for the future, and any questions I might come across. ### 7. Gearset Makes Salesforce DevOps Clear, Efficient, and SOX-Ready **Rating:** 5.0/5.0 stars **Reviewed by:** Jenna R. | Manager, Software Engineering, Small-Business (50 or fewer emp.) **Reviewed Date:** February 26, 2026 **What do you like best about Gearset DevOps?** 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. **What do you dislike about Gearset DevOps?** 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. **What problems is Gearset DevOps solving and how is that benefiting you?** Gearset streamlines our overall Salesforce development process, helping ensure the team stays compliant and efficient. It has also significantly improved visibility and reduced risk—two major pain points that were addressed by implementing Gearset. ### 8. Great Additional DevOps tool to Monitor and Deploy on Salesforce! **Rating:** 4.5/5.0 stars **Reviewed by:** Harrison P. | Salesforce Administrator and Digital Marketing Strategist, Mid-Market (51-1000 emp.) **Reviewed Date:** March 07, 2023 **What do you like best about Gearset DevOps?** 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. **What do you dislike about Gearset DevOps?** 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. **What problems is Gearset DevOps solving and how is that benefiting you?** It allows to see what has changed consistently between production and UAT, which is fantastic for seeing any potential errors or understanding where things might have gone wrong. We also use it for deployments to remove human error. It's helped so much with deploying changes into our enviro and makes things a lot more understandable as well/ ### 9. Release Efficiency and Backup in a Single Tool **Rating:** 4.5/5.0 stars **Reviewed by:** Alessandro L. | Senior Salesforce Tech Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** April 02, 2026 **What do you like best about Gearset DevOps?** I like the ease with which it is possible to create pipelines and the automatic management of conflicts. Furthermore, the ease of including relevant changes and navigating backups allows me to speed up the team's work and focus on important activities. Gearset DevOps takes the pressure off the release/DevOps part, which is really useful. **What do you dislike about Gearset DevOps?** - Deployments or retrievals on complex orgs with many configurations can take longer than expected. - Sometimes the UI is not very responsive. - Restoring backups with many related records can be complicated. - The format in which CPQ configurations are saved allows for easy reading, but in cases of extensive use (e.g., thousands of block prices), it makes the repository significantly heavy. **What problems is Gearset DevOps solving and how is that benefiting you?** I use Gearset DevOps to manage releases, CI/CD, and backups with ease. It speeds up the team's work, allowing them to focus on important tasks and reducing the pressure of releases and DevOps. ### 10. Revolutionized Our DevOps with Gearset **Rating:** 5.0/5.0 stars **Reviewed by:** Garfield S. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 31, 2026 **What do you like best about Gearset DevOps?** I really like how Gearset DevOps stands out for our team with its ability to clone and combine deployments. This capability is a massive time saver because we can take multiple small verified packages from Q&A and merge them into one master release for production, maintaining our development velocity without losing the big picture during final releases. Additionally, I appreciate the seamless integration with our GitHub environment, ensuring our version control and deployments are always in perfect sync. The setup of Gearset was remarkably efficient as a hosted solution, without the need for local server installations or complex CLI configurations, and we could authenticate Salesforce orgs and GitHub repositories via OAuth quickly. The basic compare and deploy features were easy to learn, allowing us to start seeing value from the tool almost immediately. Gearset provided the professional-grade solution we needed without requiring our team to become command line experts overnight. **What do you dislike about Gearset DevOps?** While there isn't much to complain about, I do think the UI for the combine feature could be a bit more streamlined when you are dealing with a very high number of packages. When we have 15 or 20 small feature sets to merge, the selection screen can get a little crowded. Also love to see the observability dashboards become even more customizable. Right now, they are great for catching errors, but I'd like to be able to build more specific health check reports for our senior stakeholders directly within the Gearset interface. **What problems is Gearset DevOps solving and how is that benefiting you?** Gearset DevOps solves the clunky nature of native Salesforce deployment, making the process easy and repeatable. It offers deep insights into errors, shifting us to a proactive DevOps stance. We no longer struggle with manual change sets, improving flexibility in iterative testing. ## Gearset DevOps Pricing - **Automation**: Starting at $500.00 Available in Starter, Teams or Enterprise (request a quote) - **Deployments**: Starting at $200.00 Available in Starter, Teams or Enterprise (request a quote) - **Backup**: Starting at $2.50 Available in Starter, Teams or Enterprise (request a quote) - **Archiving**: Contact Us - **Observability**: Starting at $1.00 - **Code Reviews**: Starting at $150.00 - **Org Intelligence**: Contact Us [View full pricing details](https://www.g2.com/products/gearset-devops/pricing) ## Gearset DevOps Integrations - [ACCELQ](https://www.g2.com/products/accelq/reviews) - [Agentforce 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews) - [Agentforce Communications (formerly Salesforce Communications Cloud)](https://www.g2.com/products/agentforce-communications-formerly-salesforce-communications-cloud/reviews) - [Agentforce Education (formerly Salesforce Education Cloud)](https://www.g2.com/products/agentforce-education-formerly-salesforce-education-cloud/reviews) - [Agentforce Financial Services (formerly Salesforce Financial Services Cloud)](https://www.g2.com/products/agentforce-financial-services-formerly-salesforce-financial-services-cloud/reviews) - [Agentforce Health (formerly Salesforce Health Cloud)](https://www.g2.com/products/agentforce-health-formerly-salesforce-health-cloud/reviews) - [Agentforce Marketing (formerly Salesforce Marketing Cloud)](https://www.g2.com/products/agentforce-marketing-formerly-salesforce-marketing-cloud/reviews) - [Agentforce Nonprofit (formerly Salesforce Nonprofit Cloud)](https://www.g2.com/products/agentforce-nonprofit-formerly-salesforce-nonprofit-cloud/reviews) - [Agentforce Revenue Management (formerly Salesforce Revenue Cloud)](https://www.g2.com/products/agentforce-revenue-management-formerly-salesforce-revenue-cloud/reviews) - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) - [Agentforce Service (formerly Salesforce Service Cloud)](https://www.g2.com/products/agentforce-service-formerly-salesforce-service-cloud/reviews) - [Asana](https://www.g2.com/products/asana/reviews) - [AWS CodeCommit](https://www.g2.com/products/aws-codecommit/reviews) - [Azure](https://www.g2.com/products/hopem-azure/reviews) - [Azure DevOps Server](https://www.g2.com/products/azure-devops-server/reviews) - [Azure Pipelines](https://www.g2.com/products/azure-pipelines/reviews) - [Bitbucket](https://www.g2.com/products/bitbucket/reviews) - [CodeScan](https://www.g2.com/products/codescan/reviews) - [Fivetran](https://www.g2.com/products/fivetran/reviews) - [Geckoboard](https://www.g2.com/products/geckoboard/reviews) - [Git](https://www.g2.com/products/git/reviews) - [GitHub](https://www.g2.com/products/github/reviews) - [GitLab](https://www.g2.com/products/gitlab/reviews) - [Jira](https://www.g2.com/products/jira/reviews) - [Jira Service Management](https://www.g2.com/products/jira-service-management/reviews) - [Keysight Eggplant](https://www.g2.com/products/keysight-eggplant/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Microsoft Teams](https://www.g2.com/products/microsoft-teams/reviews) - [MuleSoft Anypoint Platform](https://www.g2.com/products/mulesoft-anypoint-platform/reviews) - [Provar](https://www.g2.com/products/provar/reviews) - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) - [Salesforce Data 360 (formerly Data Cloud)](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/reviews) - [Salesforce Government Cloud](https://www.g2.com/products/salesforce-government-cloud/reviews) - [Slack](https://www.g2.com/products/slack/reviews) - [Testsigma](https://www.g2.com/products/testsigma/reviews) - [Tricentis](https://www.g2.com/products/tricentis/reviews) ## Gearset DevOps Features **Functionality** - Storage Capacity - Remote Backup - Versioning **Performance** - Issue Tracking - Detection Rate - False Positives - Automated Scans **Functionality** - Deployment-Ready Staging - Integration - Extensible **Functionality** - On Premises Recovery - Cloud Recovery - Prior State Recovery - Recovery Automation - Replication **Management** - Configuration Management - Access Control - Orchestration **Functionality** - Integrations - Extensibility - Test Customization **Functionality ** - Test Feedback - Test History - Customization - Test Variety **Customization - AI Agent Builders** - Natural Language Configuration - Tone Customization - Security Guardrails **Telemetry Collection & Ingestion - Observability** - Multi-Telemetry Ingestion - OpenTelemetry Support **Agentic AI - Static Code Analysis** - Adaptive Learning - Natural Language Interaction - Proactive Assistance **Agentic AI - Salesforce AppExchange Apps** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Agentic AI - Observability Software** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **AI Test Generation & Authoring** - UI-Based Test Generation - Natural Language Test Creation - Test Coverage Suggestions **Management** - Disaster Recovery - Remote Backup - Storage Formats - Scheduled Backups - On-Demand Restoration **Compatibility ** - Endpoint Variety - SaaS Application Variety - Storage Formats **Network** - Compliance Testing - Perimeter Scanning - Configuration Monitoring **Management** - Processes and Workflow - Reporting - Automation **Management** - Local Management - Infrastructure Compatibility - Solution Integration - Real-Time Analytics - RTO and RPO Management **Functionality** - Automation - Integrations **Management** - Automation - Processes and Workflow - Reporting **Automation** - Organization - Reliability - Thoroughness **Functionality - AI Agent Builders** - Omni-channel Support - Agent Branding - Proactive Response Capabilities - Seamless Human Escalation **Visualization & Dashboards - Observability** - Service Dependency Mapping - Unified Dashboard - Trace Visualization **Test Maintenance & Resilience ** - Self-healing - Dynamic Element Locators - AI-Powered Test Maintenance **Reporting** - Activity Monitoring - Documentation - Alerts/Notifications **Management** - File Sharing - Security Standards - Encrypted Storage **Application** - Manual Application Testing - Static Code Analysis - Black Box Testing **Processes** - Pipeline Control - Workflow Visualization - Continuous Deployment **Data and Analytics - AI Agent Builders** - Analytics & Reporting - Contextual Awareness - Data Privacy Compliance **Agentic AI - Automation Testing** - Autonomous Task Execution - Natural Language Interaction - Proactive Assistance **Correlation & Root Cause Analysis - Observability** - Cross-Telemetry Correlation - Root Cause Detection - Intelligent Alerting **Agentic AI - Continuous Integration** - Autonomous Task Execution - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance **Agentic AI - Continuous Delivery** - Autonomous Task Execution - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance **Agentic AI - Disaster Recovery** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Execution & Analytics** - Intelligent Reporting - Visual Anomaly Detection - Root Cause Analysis **Security** - Data Encryption - Security and Compliance - Deduplication **Integration - AI Agent Builders** - Workflow Automation - API Usage - Platform Interoperability - CRM Data Integration **Scalability & Ecosystem Integration - Observability** - Kubernetes Monitoring - Hybrid/Multi-Cloud Support **Agentic AI - Vulnerability Scanner** - Autonomous Task Execution - Proactive Assistance **Agentic AI - SaaS Backup** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **AI Features - Observability** - Predictive Insights - AI-Generated Incident Summaries - AI Anomaly Detection ## Top Gearset DevOps Alternatives - [Jenkins](https://www.g2.com/products/jenkins/reviews) - 4.4/5.0 (539 reviews) - [Copado DevOps](https://www.g2.com/products/copado-devops/reviews) - 4.4/5.0 (302 reviews) - [Flosum](https://www.g2.com/products/flosum/reviews) - 4.8/5.0 (184 reviews)