Qubinets

Automates setup and management of open-source data infrastructure, letting developers focus on code, not infrastructure, for faster project deployment.
Data Infrastructure Management Cloud Automation AI/ML Development

Qubinets is a SaaS platform that automates the setup and management of open-source data infrastructure, a good option for applications, AI projects and big data analytics. It lets developers concentrate on writing code, not fiddling with infrastructure, so they can get projects up and running faster.

Qubinets has some features that make it easier to create and operate data pipelines. Among them:

  • Managed Open Source: Start using open-source tools and technologies without a lot of configuration.
  • SchemaConnector Repository: Combine managed services to assemble production-ready infrastructure.
  • Native Observability and Identity: Run projects with observability and identity built in.
  • Customizable Cloud Environments: Operate infrastructure with a simple GUI or full control with CLI.
  • Effortless Distribution: Repackage and reuse infrastructure configurations across multiple clouds and teams.

Qubinets supports a variety of technologies, including event streaming, databases, AI/ML tooling, vector databases, object storage, visualization, analytics, identity and more. You can run projects on different cloud platforms and manage your infrastructure with a simple drag-and-drop user interface.

Qubinets pricing is tiered, with a free tier for personal use, testing and micro-projects that includes ordinary cloud pricing and limited workspaces. The Professional tier, at $10 per month per seat, adds more projects, unlimited workspaces and other features like the CLI console and data drift detection. For production use, the Business tier starts at $50 per seat, with discounts for large numbers of users, unlimited projects and more advanced user management. Enterprise pricing is custom, with more features, compliance and security certifications.

Qubinets is designed to make open-source technology easier to use and to help developers set up data infrastructure that's efficient and scalable. Its ease of use, flexibility and AI integration make it a good option for teams tackling complex data projects.

Published on June 14, 2024

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