Compare CodeNOW vs. Engine Yard

GitLab is a complete DevOps platform. GitLab gives you a complete CI/CD toolchain right out of the box. One interface. One conversation. One permission model. GitLab is a complete DevOps platform, delivered in one application. It fundamentally changes the way Security, Development, and Ops teams collaborate. GitLab reduces development time and costs, reduces application vulnerabilities, and speeds up software delivery. It also increases developer productivity. Source code management allows for collaboration, sharing, and coordination across the entire software development team. To accelerate software delivery, track and merge branches, audit changes, and enable concurrent work. Code can be reviewed, discussed, shared knowledge, and identified defects among distributed teams through asynchronous review. Automate, track, and report code reviews.

Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location. Kasm is revolutionizing the way businesses deliver digital workspaces. We use our open-source web native container streaming technology to create a modern devops delivery of Desktop as a Service, application streaming, and browser isolation. Kasm is more than a service. It is a platform that is highly configurable and has a robust API that can be customized to your needs at any scale. Workspaces can be deployed wherever the work is. It can be deployed on-premise (including Air-Gapped Networks), in the cloud (Public and Private), or in a hybrid.

Jellyfish, the top Engineering Management Platform, provides complete visibility into engineering organizations, their work, and their operations. Jellyfish analyzes engineering signals from Git, Jira, and contextual business data such as roadmapping, incident response, calendar, and collaboration tool. This allows engineering leaders to align engineering decisions and business initiatives, and deliver the right software on time and efficiently. Jellyfish allows engineering leaders to focus their teams on the most important things for the business, driving strategic decision-making and delivering results.

Execute your code without having to worry about server management, paying solely for the computational resources you actually use. AWS Lambda allows you to run your code without the need for provisioning or overseeing servers, charging you exclusively for the time your code is active. With Lambda, you can deploy code for nearly any kind of application or backend service while enjoying complete freedom from administrative tasks. Simply upload your code, and AWS Lambda handles everything necessary for running and scaling it with exceptional availability. You have the flexibility to set your code to automatically respond to triggers from other AWS services or invoke it directly from any web or mobile application. Furthermore, AWS Lambda efficiently runs your code without the need for you to manage server infrastructure. Just write your code and upload it, and AWS Lambda will take care of the rest. It also automatically scales your application by executing your code in response to each individual trigger, processing them in parallel and adapting precisely to the workload's demands. This level of automation and scalability makes AWS Lambda a powerful tool for developers seeking to optimize their application's performance.

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.

Whether you already have a platform team or are just at the beginning of your internal platform development, Cycloid is designed to complete your internal solution with high-quality building blocks focused on specific DevOps and hybrid cloud best practices. Self-service portal, cloud governance, RBAC, CI/CD pipelines, built-in FinOps, and GreenOps are all modules that you can pick and choose to complement your internal solution or begin your digital transformation. Like a piece of a puzzle, Git-based and lock-free Cycloid can fit into your organizational strategy and solve the burning issues at hand. We can be a pillar for your organizational transformation by empowering and upskilling your existing teams, as well as improving DevX, the developer experience. How? We offer an engineering platform dedicated to DevOps and hybrid cloud adoption, allowing you to optimize how DevOps and end-users use technologies and clouds while working in alignment on common projects.

Software testing must be centrally managed and visible from conception to production in order to make software releases more secure and faster. Tricentis qTest enables teams to collaborate and ship faster, with less risk, by unifying, managing, and scaling testing across the enterprise. Robust testing includes a variety of testing tools, teams, test types, and testing methods. Tricentis qTest combines them all so that teams can release more confidently and reduce risk. It also helps identify opportunities to move faster - collectively. Automate more testing, increase the release velocity, and bring together teams throughout the software development process. Native DevOps integrations such as Jira, Jenkins and GitHub keep QA and development in sync. With a full audit trail, trace defects and tests back to development and requirements. Align teams with cross-project reporting.

Accelerate your data journey with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, or blended modeling approaches tailored to your business needs. Seamlessly integrate with Microsoft SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline creation, data modeling, historization, and semantic layer generation—helping reduce tool sprawl and minimizing manual SQL coding. Designed to support CI/CD pipelines, AnalyticsCreator connects easily with Azure DevOps and GitHub for version-controlled deployments across development, test, and production environments. This ensures faster, error-free releases while maintaining governance and control across your entire data engineering workflow. Key features include automated documentation, end-to-end data lineage tracking, and adaptive schema evolution—enabling teams to manage change, reduce risk, and maintain auditability at scale. AnalyticsCreator empowers agile data engineering by enabling rapid prototyping and production-grade deployments for Microsoft-centric data initiatives. By eliminating repetitive manual tasks and deployment risks, AnalyticsCreator allows your team to focus on delivering actionable business insights—accelerating time-to-value for your data products and analytics initiatives.