Orchest

Orchest (orchest.io) is a startup that provides an open-source tool designed for building data science pipelines interactively. The company operates in the data science and cloud computing market, catering primarily to data scientists, analysts, and organizations that require robust data processing capabilities. Orchest's platform allows users to create, edit, and connect data science notebooks and scripts in a visual pipeline editor, making it easier to develop and manage complex data workflows.

The platform supports multiple programming languages, including Python, R, Julia, and Bash, enabling users to write their data processing code directly without the need for additional frameworks or configuration files like YAML. Orchest is designed to work seamlessly across various cloud environments, both public and private, providing flexibility and scalability for its users.

Orchest's business model includes both free and paid tiers. The free tier offers a limited instance with 2 virtual CPUs (vCPU), 8 GB of memory, and 50 GB of disk storage, suitable for smaller projects or individual users. The paid tier, on the other hand, provides more robust features, including multiple instances with up to 8 vCPUs, 32 GB of memory, no time limits on usage, monitoring, backups, and up to 2 TB of storage per instance. This tier is aimed at larger organizations or teams that require more extensive resources and capabilities.

The company generates revenue through its paid tier subscriptions, offering enhanced features and greater computational power to meet the needs of more demanding data science projects. By providing a scalable and user-friendly platform, Orchest aims to simplify the process of building and managing data science pipelines, making it accessible to a broader audience.

Keywords: Data Science, Pipelines, Open Source, Cloud Computing, Visual Editor, Python, R, Julia, Bash, Subscription Model.