Grafana
Grafana Labs provides an open and composable observability stack built around Grafana, the leading open source technology for dashboards and visualization. Recognized as a 2025 Gartner® Magic Quadrant™ Leader for Observability Platforms and positioned furthest to the right for Completeness of Vision, Grafana Labs supports over 25M users and 5,000+ customers.
Grafana Cloud delivers the full power of Grafana’s open and composable observability stack—without the overhead of managing infrastructure. As a fully managed SaaS offering from Grafana Labs, it unifies metrics, logs, and traces in one place, giving engineering teams real-time visibility into systems and applications. Built around the LGTM Stack—Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics—Grafana Cloud provides a scalable foundation for modern observability.
With built-in integrations for Kubernetes, cloud services, CI/CD pipelines, and OpenTelemetry, Grafana Cloud accelerates time to value while reducing operational complexity. Grafana Cloud also supports OLAP-style analytics through integrations with data warehouses and analytical engines like BigQuery, ClickHouse, and Druid—enabling multi-dimensional exploration across observability and business data. Teams gain access to powerful features like Adaptive Metrics for cost optimization, incident response workflows, and synthetic monitoring for performance testing—all within a secure, globally distributed platform. Whether you’re modernizing infrastructure, scaling observability, or driving SLO-based performance, Grafana Cloud delivers the insights you need—fast, flexible, and vendor-neutral.
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HungerRush
Designed for growing quick-service and fast casual brands, HungerRush POS is a cloud-based restaurant management solution that connects in-store and online ordering, delivery management, guest engagement, reporting, loyalty programs, and marketing into one powerful platform. HungerRush provides hands-on support and a true partnership approach to give restaurant operators clearer insights, more operational control, and the ability to scale with confidence.
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PopSQL
PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico.
We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast.
With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery.
Even if your team is already leveraging a large BI tool, like Tableau or Looker, or a hodge podge of SQL editors, PopSQL enables seamless collaboration between your SQL power users, junior analysts, and even your less technical stakeholders who are hungry for data insights.
* Cross-platform compatibility with macOS, Windows, and Linux
* Works with Snowflake, Redshift, BigQuery, Clickhouse, Databricks, Athena, MongoDB, PostgreSQL, MySQL, SQL Server, SQLite, Presto, Cassandra, and more
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Petal Scheduling & Clinical Capacity
Petal's platform, a cloud-based scheduling solution for healthcare professionals, is designed for doctors and healthcare professionals in hospitals, clinics, and acute-care facilities. Physicians can manage and control their schedules and improve team communication through shift swaps, absence requests, and shift visibility.
Petal's Clinical Capacity Management is combined with it to manage the modern hospital's medical staff scheduling, on-call physician management, and physician management. The Clinical Capacity Management console consolidates all hospital medical services in one dashboard. This solution gives real-time insights into care coverage and provides analytical reports that facilitate resource management. It improves the performance and accessibility of healthcare facilities. These SaaS solutions are customizable to fit different departments, clinics, hospitals, and even a whole network.
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