Onehouse is a fully managed, cloud-native data lakehouse platform that simplifies the ingestion, transformation, and optimization of data across various formats and cloud environments. By integrating the scalability of data lakes with the performance and management features of data warehouses, Onehouse enables organizations to build and operate data lakehouses efficiently and cost-effectively. Key Features and Functionality: - Continuous Data Ingestion: Supports rapid ingestion from diverse sources, including event streams , database change data capture , and files stored in cloud storage. - Format Interoperability: Provides seamless compatibility with leading table formats such as Apache Hudi, Apache Iceberg, and Delta Lake, allowing flexibility without data migration. - Incremental Data Processing: Utilizes incremental processing techniques to handle only changed data, resulting in faster ETL/ELT pipelines and reduced compute costs. - Automated Table Optimization: Manages data layout and table services, including compaction, clustering, and cleaning, to enhance query performance and reduce storage costs. - Multi-Cloud Support: Operates across major cloud platforms, including AWS and GCP, with Azure support forthcoming, ensuring flexibility in deployment. Primary Value and User Solutions: Onehouse addresses the complexities of building and managing data lakehouses by offering a unified platform that automates data ingestion, transformation, and optimization. This approach reduces engineering overhead, accelerates data processing, and ensures data is always up-to-date. By supporting open data formats and providing interoperability across various query engines, Onehouse eliminates vendor lock-in and offers organizations the flexibility to choose tools that best fit their needs. Additionally, its cost-efficient infrastructure and incremental processing capabilities lead to significant savings in data warehousing and processing expenses.