Compare Toast vs. Visual Studio

JetBrains Junie is an innovative AI coding assistant that works inside many JetBrains IDEs to streamline programming efforts and boost efficiency. This agent leverages advanced AI to help developers write, test, and inspect code without leaving their familiar development environment. Junie offers both code execution and interactive collaboration, allowing programmers to switch between automated code writing and brainstorming sessions for features and improvements. By deeply understanding the codebase, Junie identifies the best ways to tackle tasks and ensures all changes meet quality standards through syntax and semantic checks. It also runs tests to minimize errors and keep the project healthy, freeing developers from routine tasks. Many developers have successfully built complex applications and games using Junie, highlighting its flexibility across different languages and frameworks. The AI adapts to each task’s complexity and workflow, making coding less tedious and more focused on creativity. Whether you are building a simple web app or a complex game, Junie offers smart support throughout the development cycle.

Virtuoso QA is an AI-native test automation solution built to streamline and scale enterprise quality assurance processes. It allows users to author tests in natural language, making it accessible for both technical and non-technical team members. The platform leverages self-healing AI to automatically adapt to changes in applications, reducing test flakiness and maintenance overhead. With features like live authoring, real-time execution, and automated diagnostics, teams can quickly identify and resolve issues. Virtuoso QA supports continuous testing across multiple browsers, devices, and environments, ensuring comprehensive test coverage. It integrates seamlessly with popular tools such as Jira, Jenkins, Azure DevOps, and BrowserStack, enabling smooth CI/CD workflows. The platform also provides detailed analytics and dashboards to track performance and optimize testing strategies. By automating test generation and execution, it significantly reduces manual effort and accelerates release cycles. Virtuoso QA empowers organizations to deliver high-quality software faster and more reliably.

NinjaOne automates the hardest parts of IT, empowering more than 20,000 IT teams. By providing deep insights into endpoints, robust security measures, and centralized control, NinjaOne boosts efficiency while safeguarding sensitive data and cutting IT expenses. This comprehensive platform offers a versatile toolkit for managing and securing endpoints, including patch management, mobile device oversight, software distribution, remote support, backup solutions, and more, thanks to its extensive IT and security integrations.

Planview Software Product Delivery Solution is a comprehensive enterprise platform that provides delivery intelligence by connecting strategy to execution across development toolchains. It integrates seamlessly with tools such as Azure DevOps, GitHub, and Jira to collect and unify real-time data from across teams. This allows organizations to gain full visibility into their delivery processes and make informed decisions. The platform includes features like cross-team dependency management, capacity planning, and agile planning at both team and portfolio levels. It enables users to analyze workflows, identify bottlenecks, and optimize delivery performance. Advanced analytics, including DORA metrics, provide insights into engineering efficiency and outcomes. AI-powered roadmapping helps align business objectives with execution strategies. The solution also supports connected OKRs to ensure teams stay aligned with organizational goals. Portfolio-level investment planning and scenario modeling allow leaders to evaluate different strategies. Risk signals are surfaced early through configurable thresholds and flow metrics. By replacing manual reporting with real-time dashboards, Planview improves transparency and decision-making. Ultimately, it helps enterprises deliver digital products more efficiently and with measurable impact.

JAMS is an automation orchestration and job scheduling solution that runs, monitors, and manages critical IT processes from a single console. JAMS automates jobs across Windows, Linux, UNIX, IBM i, z/OS, and OpenVMS, with native integrations for the databases, BI tools, and ERP systems already running your business. Jobs run on any schedule or trigger off other events, with dependency management keeping workflows in order and an audit trail logging every execution. JAMS includes two AI capabilities at no additional cost. JAX is an AI agent built into the JAMS Web Client: ask it a question in plain language, and it finds a job, troubleshoots a failure, or looks up how to do something, grounded in JAMS documentation. It acts only when asked, and every change waits for your approval. JAMS MCP brings JAMS into the AI coding tools teams already use, including Cursor, Claude Code, GitHub Copilot, and Claude Desktop. For teams managing thousands of jobs across SQL Server, ADF, Airflow, SAP, JDE, and Banner, this cuts tribal knowledge and middle-of-the-night troubleshooting. Knowledge that once lived in one person's head becomes something any team member can ask about directly. The AI lives in the product, not in the support queue. Support is staffed by humans JAMS will never outsource, based in the United States, the United Kingdom, and Australia. New tickets go to long-tenured engineers, and every JAMS customer has the CEO's cell phone number. JAMS' mission is to reduce the operational burden of critical automation, so teams spend more time on the work automation was meant to free them for.

Compliance work eats engineering time. Hyperproof exists to give that time back by automating the parts of GRC that don't need a human: pulling evidence out of GitHub, Jira, ServiceNow, Snyk, and cloud storage on a schedule, running recurring tests against high-frequency controls, and kicking off a task automatically the moment something fails instead of waiting for the next audit cycle to find out. Under the hood, Hyperproof maps one control to 160+ frameworks (SOC 2, ISO 27001, HIPAA, NIST, and others), so a control tested once can satisfy several standards instead of forcing teams to rebuild the same work per framework. AI agents handle the first pass on evidence review and gap-flagging, leaving humans to make the actual judgment calls rather than hunting down documentation. Teams using it report cutting audit prep by roughly 350 hours a year, a 66% drop in duplicate controls, and about $150K saved annually on control orchestration. It also scales to messier org charts, with the ability to scope controls by business unit or entity instead of flattening everything into one program. Built in 2018 out of the Seattle area, Hyperproof is used by engineering and security-heavy orgs like Reddit, Fortinet, Appian, and Outreach that are tired of treating compliance as a manual, spreadsheet and email process and want it to run more like the rest of their infrastructure: automated, monitored, and auditable.

Most enterprises can report what AI cost them. Far fewer can say which team owns it, whether it was approved, or what it returned. FinOpsly closes that gap. The platform governs AI spend on the same cost model that carries the cloud, data platform and SaaS an AI workload consumes, so a business unit sees the full cost of an AI initiative instead of four disconnected bills. Capabilities include: Cost estimation before deployment. Model an architecture and get a priced workload across model APIs, GPU capacity, warehouse consumption and storage, with the assumptions on screen. Weigh model choices against consumption you have actually measured. Attribution that holds up in a chargeback cycle. Spend resolves to owners, teams, applications, business units and customers through hierarchies nine or more levels deep. Tagging is standardized across providers, keys and resources are labeled in bulk from plain-language rules, and whatever remains unattributed is published as a number, not absorbed. Guardrails that act. Set budgets by project, team or API key. Catch anomalies with root cause and route them to whoever owns the resource. Surface waste that provider tooling misses, using FinOpsly's own detection models. Plan commitments across AWS, Azure and Google Cloud. Park idle compute on approved schedules, reversibly. Financial results you can defend. Automated chargeback in a single cycle. Savings measured as what reached run-rate against a no-action baseline. Unit economics down to cost per call, per active user and per customer served. For technology and finance leaders accountable for what AI spend returns.

Curtain MonGuard Screen Watermark is an enterprise solution for displaying screen watermarks that administrators can enable on users' computers. This screen watermark can display various user information, such as the computer name, username, and IP address. The purpose of this watermark is to effectively grab the user's attention and serve as a reminder before they take a screenshot or photograph the screen to share the information with others. The key benefit of Curtain MonGuard is that it encourages users to "think before sharing" sensitive information. If the content being shared contains confidential company data, the watermark can help trace the source of the leaked information back to the user responsible. This allows organizations to hold users accountable and mitigate the consequences of data breaches or unauthorized information sharing. Key features: - On-screen watermark - Full screen-watermark - Application screen-watermark - Supports over 500 Applications - Self-defined content of watermark - Screen-watermark by condition - Central administration - Integration with Active Directory - Uninstall password for client - Password management - Admin delegation - Self protection for the software

DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.

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