About
🚧 Kyros is an open-source data platform focused on providing cloud-agnostic, modular solutions for data engineering and infrastructure management. Our mission is to offer a customizable, scalable, and affordable alternative to proprietary platforms like Databricks, without vendor lock-in.
Kyros is designed to leverage affordable hosting options and allows users to deploy only the components they need, keeping both complexity and costs low. Whether you’re running small-scale operations or managing large, complex data environments, Kyros adapts to your needs.
Notable Features
- Modular Architecture: Configure Kyros to deploy only what you need for cost-effective and efficient operations.
- Cloud-Agnostic: Run on any cloud or local infrastructure—no vendor lock-in.
- Built for Big Data: Use Apache Spark for large-scale data processing, dbt for pipelines, and Flink for real-time stream processing.
- Modern Data Formats: Supports Delta Lake, Apache Iceberg, and Apache Pinot for robust, transactional data lakes and real-time OLAP queries.
- Kubernetes-Ready: Seamless orchestration for scaling and deployment across cloud environments.
- Customizable Interfaces: Fully customizable interfaces with integrations for JupyterLab, SQLPad, and Portainer.
Demo Pages
| Name | Description |
|---|---|
| Modular Architecture | Overview of Kyros’s modular configuration. |
| Cloud Agnostic Deployment | How to deploy Kyros on any cloud infrastructure. |
| Data Lake Management | Managing large-scale data lakes with Kyros. |
| Real-Time Stream Processing | Real-time data processing with Apache Flink. |
| SQL Interface | Use SQLPad and CloudBeaver for data querying. |
For even more examples and case studies, check the projects archive.
Credits
Kyros is designed, developed, and maintained by Kyros, with a focus on simplifying cloud infrastructure and making data engineering accessible and affordable.