RTMaps vs. TI-RTOS Comparison Chart

JS7 JobScheduler is an Open Source workload automation system designed for performance, resilience and security. It provides unlimited performance for parallel execution of jobs and workflows. JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST API. Platforms - Cloud scheduling from Containers for Docker®, Kubernetes®, OpenShift® etc. - True multi-platform scheduling on premises for Windows®, Linux®, AIX®, Solaris®, macOS® etc. - Hybrid use for cloud and on premises User Interface - Modern, no-code GUI for inventory management, monitoring and control with web browsers - Near real-time information brings immediate visibility of status changes and log output of jobs and workflows - Multi-client capability, role based access management High Availability - Redundancy and Resilience based on asynchronous design and autonomous Agents - Clustering for all JS7 products, automatic fail-over and manual switch-over

JOpt.TourOptimizer is an adaptable component to solve VRP, CVRP, and VRPTW class problems for any route optimization in logistics or similar fields. JOpt.TourOptimizer gives full access to modern optimization strategies and already includes many useful functions and algorithms to model various tour optimization problems. The JOpt.TourOptimizer library is easily integrated into any product. It can be customized to meet special requirements or adapt to the industries’ specific needs in which your software products are used. JOpt.TourOptimizer – enables you to enhance your product or project by seamlessly integrating DNA’s tour and resource optimization engine. It comes as a Java library or in Docker Container utilizing the Spring Framework and Swagger.

Retool is an AI-powered platform that enables teams to build internal software, agents, and workflows faster using natural language and composable building blocks. It allows users to go from a simple prompt to a fully deployed application that works with their existing data, systems, and business rules. Retool connects seamlessly to databases, APIs, LLMs, and external tools to create production-ready applications. The platform supports building AI agents, dashboards, workflows, and full-stack internal apps with flexibility and control. Teams can design interfaces visually, customize logic with code, or generate components using AI assistance. Retool integrates with modern developer workflows, including version control, CI/CD, and testing. Overall, it helps organizations reduce development time while maintaining enterprise-grade security and reliability.

Chainguard Containers are a guarded catalog of 1,700+ minimal, zero-CVE container images with a best-in-class CVE remediation SLA (7 days for critical severity, 14 days for high, medium and low) that helps customers build and deploy software better. Modern software development practices and deployment pipelines require secure, up-to-date containerized applications for cloud-native applications. Chainguard builds minimal images continuously from source in our hardened build infrastructure, with only the components required to build and run your applications. Aimed at engineering organizations and security teams alike, Chainguard Containers reduce costly engineering toil around vulnerability management, enhance the security posture of applications by eliminating attack surface, and unlock revenue by simplifying compliance with key frameworks and customer requirements.

Google AI Studio is a comprehensive, web-based development environment that democratizes access to Google's cutting-edge AI models, notably the Gemini family, enabling a broad spectrum of users to explore and build innovative applications. This platform facilitates rapid prototyping by providing an intuitive interface for prompt engineering, allowing developers to meticulously craft and refine their interactions with AI. Beyond basic experimentation, AI Studio supports the seamless integration of AI capabilities into diverse projects, from simple chatbots to complex data analysis tools. Users can rigorously test different prompts, observe model behaviors, and iteratively refine their AI-driven solutions within a collaborative and user-friendly environment. This empowers developers to push the boundaries of AI application development, fostering creativity and accelerating the realization of AI-powered solutions.

Jama Software® is focused on maximizing innovation success in multidisciplinary engineering organizations. Numerous firsts for humanity in fields such as fuel cells, electrification, space, software-defined vehicles, surgical robotics, and more all rely on Jama Connect® requirements management software to minimize the risk of defects, rework, cost overruns, and recalls. Using Jama Connect, engineering organizations can now intelligently manage the development process by leveraging Live Traceability™ across best-of-breed tools to measurably improve outcomes. Our rapidly growing customer base spans the automotive, medical device, life sciences, semiconductor, aerospace & defense, industrial manufacturing, consumer electronics, financial services, and insurance industries.

The first scalable monetization platform, for the modern billing stack. Eliminate risk, retain focus, and power more pricing and packaging options with less code. A monetization platform is a standalone middleware that sits between your application and your business applications, as part of the modern enterprise billing stack. Stigg unifies all the APIs and abstractions billing and platform engineers had to build and maintain in-house otherwise. Acting as your centralized source of truth, with a highly scalable and flexible entitlements management, rolling out any pricing and packaging change is now a self-service, risk-free, exercise. Stigg gives engineers fine-grained control over what can be packaged and priced separately. You can set limits and govern your customers’ commercial permissions at the feature level, abstracting away complex billing concepts from your code. Entitlements are the modern way to software monetization and truly flexible hybrid pricing.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex.

Seplex is an OTT solutions provider, serving global operators with simple, powerful and scalable OTT solutions—from content preparation, management and monetization to video delivery, multi-screen apps and real-time analytics. We offer a unified OTT platform that includes middleware, transcoders, CDNs, DRM, multi-screen apps, STBs, and analytics, designed to support operators worldwide. Our solutions earned the PRODU Award for OTT Development of the Year in 2025, thanks to Setplex’s role in powering Copa América 2024 streaming for Venezuelan broadcaster Televen, scoring over 43 million impressions and 1.3 million app installs across mobile, web, & smart TV platforms. With the advantage of being operators ourselves, serving millions of subscribers, we possess deep insights into the daily challenges faced by operators. This expertise fuels our R&D efforts, driving the development of our platform, paving a smoother path for operators, and enhancing their operational efficiency.

RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.