Onehouse

About Onehouse

Introduction to Onehouse

Onehouse is a cutting-edge universal data lakehouse designed to deliver open storage solutions, real-time data streaming capabilities, and automated optimization across various table formats, processing engines, and cloud platforms. Built on top of proven technologies like Hudi, Delta, and Iceberg, Onehouse emerges as an innovative automated data platform tailored for modern data management needs.

Onehouse offers a comprehensive solution that caters to business intelligence, data science, and AI/ML applications. Its unique architecture supports both streaming and batch processing workflows, ensuring seamless integration of diverse workloads. By automating the management of data infrastructure, Onehouse delivers true openness and interoperability while optimizing costs and scaling efficiently to meet evolving demands.

Devised by the developers behind Apache Hudi, Onehouse brings together powerful features such as high-throughput data stream ingestion, flexible data capture mechanisms, automated data management capabilities, cloud-native table structures, and robust metadata handling. These features collectively ensure a scalable and efficient data processing environment.

Key Features

Data Stream Ingestion

High-throughput data stream ingestion ensures that Onehouse can handle massive volumes of real-time data with exceptional efficiency, making it ideal for scenarios requiring continuous data flow processing.

Data Capture and Management

Easy-to-change data capture allows for flexible adaptation to shifting data requirements. Combined with automated data management, this ensures that datasets remain optimized and up-to-date without manual intervention, significantly enhancing operational efficiency.

Cloud-Native Tables and Metadata

Cloud-native tables are designed to leverage the full potential of cloud platforms, ensuring scalability and performance in distributed environments. Additionally, metadata management is streamlined to support seamless data governance and discovery.

Target Audience

Enterprise Teams

Onehouse is specifically engineered for enterprise-level teams dealing with large-scale data lakes. It empowers organizations to perform advanced data analysis, execute complex data science projects, and deploy AI/ML models effectively.

Broad Use Cases

The platform finds application in a variety of scenarios:

• Real-time data stream processing for immediate insights
• Batch processing for large-scale historical data analysis
• Data warehousing solutions for structured and semi-structured datasets

By addressing these diverse use cases, Onehouse delivers a unified lakehouse solution that simplifies operations while maximizing performance. Its automated infrastructure management ensures cost-efficiency and scalability, making it a preferred choice for forward-thinking enterprises.