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.
LakeView is a free observability tool designed to enhance the management and optimization of data lakehouse environments, particularly those utilizing Apache Hudi. By providing comprehensive insights into table performance and health, LakeView empowers data engineers to monitor, debug, and optimize their data operations effectively. Its user-friendly interface offers interactive charts and metrics, enabling quick assessments and proactive issue resolution without accessing base data files, thereby ensuring data privacy.
Onehouse Cloud is a fully managed, cloud-native data lakehouse platform designed to streamline data ingestion, transformation, and storage. Built on open-source technologies like Apache Hudi™, it enables organizations to efficiently manage their data pipelines, ensuring high performance and cost-effectiveness.
Apache Hudi is an open-source data lake platform that brings database-like capabilities to data lakes, enabling ACID transactions, record-level updates and deletes, and efficient data ingestion. Developed by the creators of Apache Hudi, Onehouse offers a managed service that enhances Hudi's capabilities, providing a high-performance, resilient, and secure data lakehouse solution.
Onehouse's Lakehouse Table Optimizer is a fully managed service designed to enhance the performance and cost-efficiency of data lakehouse environments. By automating critical configurations such as clustering, compaction, and data cleaning, it ensures optimal read and write operations without the need for manual intervention. This solution supports platforms like Apache Hudi™, Apache Iceberg, and Delta Lake, providing seamless integration and hands-free management.

Onehouse is a company that specializes in providing a unified data lakehouse platform designed to simplify data architecture and enable users to manage, optimize, and access their data efficiently. The company focuses on integrating data lakes and data warehouses, offering features such as streamlined data ingestion, enhanced data governance, real-time analytics, and cost-efficient storage solutions. Onehouse aims to deliver a scalable and seamless data management experience, leveraging open standards to ensure compatibility and integration with various data tools and technologies.