Compare Rocket COBOL vs. Rocket DevOps

Safeguarding mission-critical host and mainframe applications is vital. Rocket® Secure Host Access is a security-first terminal emulation platform that brings modern identity and access management directly to your green screen environments. We help you eliminate vulnerabilities using passwordless, phishing-resistant authentication that dramatically reduces credential-based threats. Designed for desktop, web, and hybrid ecosystems, this solution empowers your team to work securely without disrupting daily workflows. When you need to meet rigorous compliance standards like HIPAA, PCI-DSS, and DORA, Rocket Secure Host Access ensures your sensitive data remains protected through advanced TLS 1.3 and SSH encryption. - Extend zero-trust security to legacy systems. - Simplify ongoing administration across all environments. - Achieve full compliance with global data privacy regulations. Modernize your enterprise security posture today. Let us partner with you to protect your most valuable assets.

Your mission-critical systems carry the weight of your entire organization. Protecting them shouldn't leave you guessing about hidden vulnerabilities or compliance risks. Rocket® z/Assure™ Vulnerability Analysis Program (VAP) is a specialized mainframe security solution built to proactively scan and safeguard your most valuable environments. By identifying system-level risks before they become active threats, we partner with you to ensure your infrastructure remains locked down, resilient, and fully compliant. We understand the responsibility of managing enterprise security, and our tool gives you the exact insights you need to confidently eliminate weak points. Key benefits for your security team: - Identify and resolve hidden vulnerabilities with deep, automated scanning. - Protect your mission-critical data from evolving external and internal threats. - Streamline compliance reporting with clear, actionable security insights. Take control of your mainframe security. Partner with Rocket Software to protect your digital foundation today.

Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.

Google AI Studio is an all-in-one environment designed for building AI-first applications with Google’s latest models. It supports Gemini, Imagen, Veo, and Gemma, allowing developers to experiment across multiple modalities in one place. The platform emphasizes vibe coding, enabling users to describe what they want and let AI handle the technical heavy lifting. Developers can generate complete, production-ready apps using natural language instructions. One-click deployment makes it easy to move from prototype to live application. Google AI Studio includes a centralized dashboard for API keys, billing, and usage tracking. Detailed logs and rate-limit insights help teams operate efficiently. SDK support for Python, Node.js, and REST APIs ensures flexibility. Quickstart guides reduce onboarding time to minutes. Overall, Google AI Studio blends experimentation, vibe coding, and scalable production into a single workflow.

Creatio is a global vendor of an agentic AI-native no-code platform designed to automate workflows and CRM with a maximum degree of freedom. Powered by intuitive no-code development, visual process design, and embedded AI, the Creatio platform enables organizations to build and evolve applications of any complexity and scale—supporting both structured and unstructured workflows, advanced analytics, and flexible dashboards. By empowering business users alongside IT, Creatio reduces application development time by up to 10× and accelerates time-to-value. At the core of the platform are AI agents that can understand context, analyze data, make decisions, and execute tasks across end-to-end workflows. This agentic approach allows organizations to automate entire business processes, not just individual tasks—driving efficiency, agility, and measurable business outcomes. Creatio also provides a rich marketplace of pre-built applications, connectors, and industry-specific solutions, enabling rapid deployment and continuous innovation. Built on a modern, AI-native architecture, the platform ensures seamless integration and adaptability within any digital ecosystem. Creatio CRM is a full-featured suite for marketing, sales, and service automation, unified on the same agentic no-code platform with embedded AI agents. Organizations can deploy it as a complete CRM suite or as modular solutions, gaining the flexibility to scale while maintaining a single, intelligent system of engagement.

Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands. At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world. You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work. LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.

Chainstack's APIs and software are used by thousands of businesses, large and small, to build, scale, and maintain blockchain applications. To ensure your security and control, Chainstack's APIs offer secure node connections and key security best practices. Invite other members to join your network and deploy their infrastructure using simple network management tools. You can build and deploy the blockchain protocol that suits your needs. The protocol will never be updated or modified again. Chainstack's managed services for blockchain make it easy to launch, join, and scale decentralized networks. You can now safely experiment with enterprise-grade tools and services and then run production. Continuously monitor and provision your resources.

Anaconda is an AI-native development platform that gives teams a governed path from early experimentation to production AI deployment. The platform is built around trusted open-source packages, secure Python package management, controlled environments, and production-grade orchestration. Anaconda helps organizations avoid broken environments, dependency conflicts, security gaps, and deployment delays that can slow AI initiatives. Anaconda Core provides validated packages, automated security scanning, and intelligent dependency conflict resolution for Python and data science teams. Its platform capabilities support AI orchestration, trusted distribution, and enterprise workflows for building and scaling models. Anaconda is widely used across the AI, data science, Python, and enterprise developer communities. The company positions open source as a foundation for AI innovation and emphasizes Python as a core language for the next era of AI development. Anaconda also provides learning courses, certifications, reports, guides, professional services, documentation, and support resources. By combining package governance, environment management, open-source security, and AI development workflows, Anaconda helps teams build trusted AI systems on their own terms.

Veeam Data Platform is a unified data resilience solution that helps organizations recover from cyberattacks and outages, and protect workloads across hybrid and multicloud environments – all without vendor lock-in. The platform includes built-in security capabilities designed to mitigate ransomware and other data-loss threats, including AI-backed threat detection across a broad range of workload types. This is intended to help teams identify and respond to threats before they disrupt operations. Veeam Data Platform supports workload portability across hypervisors, cloud providers, and on-premises environments, allowing organizations to move or recover data across infrastructure without being tied to a specific vendor or platform. For organizations looking to simplify deployment, Veeam Software Appliance provides a pre-built, hardened, and highly available option, reducing the manual setup and maintenance work required from IT teams.

AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns. Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows. Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets. Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules. Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.