Onehouse

What is Onehouse?

Onehouse is a cloud data lakehouse platform designed for seamless data management. It offers managed pipelines for database Change Data Capture (CDC) and streaming ingestion, enabling minute-level data freshness and effortless scalability to petabytes of data. Onehouse supports various query engines like Snowflake, Databricks, Redshift, BigQuery, and more, ensuring wide data catalog support. The platform focuses on data security by keeping data within the user's account and complying with SOC2 Type 2 and PCI DSS standards. Additionally, Onehouse provides features for hands-off data management, incremental data transformation, and interoperability across different table formats like Apache Hudi, Apache Iceberg, and Delta Lake.

Furthermore, Onehouse is built by the creators of Apache Hudi and emphasizes interoperability across all catalogs and query engines through XTable. It aims to deliver industry-leading results achieved by organizations using data lakehouse technology, such as significant compute cost reductions, faster ETL processes, and substantial savings. Onehouse is positioned as a solution accessible to every organization, offering a combination of ease of use, scalability, and cost-effectiveness.

In simpler terms, Onehouse is a cutting-edge data platform that combines the best features of a data warehouse and a data lake, providing users with a highly efficient and secure environment to manage, transform, and query their data effectively.

Who created Onehouse?

Onehouse was created by the creators of Apache Hudi, a pioneering lakehouse technology used industry-wide. The company focuses on delivering modern data infrastructure through a cloud-native, fully-managed lakehouse service built on Apache Hudi. Onehouse enables organizations to blend the ease of a warehouse with the scale of a data lake, offering interoperability across various catalogs and query engines. The company emphasizes vendor independence, ensuring truly open and interoperable data services for its users.

What is Onehouse used for?

• Ingest from databases and event streams at TB-scale in near real-time
• Cut costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing
• Deploy in minutes without engineering overhead with a fully managed, highly-optimized cloud service
• Unify data in a single source of truth and eliminate the need to copy data across data warehouses and lakes
• Use omnidirectional interoperability between Apache Hudi™, Apache Iceberg, and Delta Lake for table formats
• Quickly configure managed pipelines for database CDC and streaming ingestion
• Take advantage of automagic data management with various features like file sizing, partitioning, clustering, etc.
• Transform data incrementally with low-code incremental processing capabilities to optimize ELT/ETL costs
• Analyze and query data with a wide range of engines such as Snowflake, Databricks, Redshift, BigQuery, etc.
• Ensure data security with data remaining within the user's account, SOC2 Type 2 and PCI DSS compliance, SSO integration, access controls, encryption, and IAM permissions
• Ingest data from databases and event streams at TB-scale in near real-time with fully managed pipelines
• Deploy Onehouse in minutes without engineering overhead as a fully managed cloud service
• Choose the right table format for the job with interoperability between Apache Hudi, Apache Iceberg, and Delta Lake
• Quickly configure managed pipelines for database CDC and streaming ingestion to keep data up to date with minute-level freshness and scale effortlessly to PBs of data
• Use XTable™ to query analytics-ready tables as Apache Hudi, Apache Iceberg, or Delta Lake
• Process and refine data in-place with incremental processing capabilities to optimize ELT/ETL costs
• Analyze and query data with a wide range of engines including Snowflake, Databricks, Redshift, BigQuery, and more
• Ensure data security with Onehouse architected to keep data protected within your private cloud and compliant with SOC2 Type 2 and PCI DSS standards

Who is Onehouse for?

• Business Intelligence Analysts
• Data engineers
• Data scientists
• Data Analysts
• IT professionals
• Business Intelligence Professionals
• AI/ML professionals

How to use Onehouse?

To use Onehouse efficiently, follow these steps:

1. Ingest Data Quickly: Configure managed pipelines for database Change Data Capture (CDC) and streaming ingestion to keep data up to date at minute-level freshness.

2. Centralize Data Management: Take advantage of automatic file sizing, partitioning, clustering, and indexing. Use XTable™ for querying tables in formats like Apache Hudi, Apache Iceberg, or Delta Lake.

3. Transform Data Incrementally: Process and refine data in-place with low-code incremental processing to optimize ELT/ETL costs. Ensure data quality by validating and quarantining bad data.

4. Query Data with Flexibility: Analyze data with various engines such as Snowflake, Databricks, Redshift, BigQuery, and more, leveraging the wide data catalog support.

5. Ensure Data Security: Onehouse is designed to keep data within your account, complying with SOC2 Type 2 and PCI DSS. It integrates with Single Sign-On (SSO), provides access controls, and follows encryption standards.

With these steps, you can efficiently manage data in Onehouse, ensuring security, flexibility in querying, and incremental data transformation for optimized data processing.