Onehouse

Onehouse

Onehouse delivers a new bedrock for data, through a cloud-native, fully-managed lakehouse service built on Apache Hudi.

HQ location
San Francisco, United States
Launch date
Employees
Enterprise value
$140—210m
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DateInvestorsAmountRound
investor investor

€0.0

round
investor investor

€0.0

round
*

$35.0m

Series B
Total Funding000k

Financials

Estimates*

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Revenues, earnings & profits over time
USD2023
Revenues0000
EBITDA0000
Profit0000
EV0000
EV / revenue00.0x
EV / EBITDA00.0x
R&D budget0000

Source: Dealroom estimates

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More about Onehouse
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Onehouse.ai is a cutting-edge startup that specializes in providing a data lakehouse solution designed for open storage, continuous data pipelines, and automatic optimizations. The company operates in the data management and cloud computing market, catering primarily to businesses that require efficient and scalable data solutions. These clients range from small enterprises to large corporations across various industries, including finance, healthcare, retail, and technology.

The core offering of Onehouse.ai is its fully managed data lakehouse service. This service allows businesses to organize, optimize, and manage their data seamlessly. Clients can choose the type of data they want to be organized and optimized, and Onehouse.ai takes care of the rest. The platform supports various table formats such as Apache Hudi, Apache Iceberg, and Delta Lake, ensuring flexibility and compatibility with different data needs.

Onehouse.ai's business model is based on a usage-based pricing structure, which means clients only pay for what they use. This model is cost-effective, cutting data management costs by 50% or more compared to traditional cloud data warehouses and ETL (Extract, Transform, Load) tools. The company makes money by charging clients based on their data usage, making it an attractive option for businesses looking to scale their data operations without incurring high costs.

The platform offers several key features, including automated data management services like clustering, compaction, masking, and encryption. It also supports easy change data capture, allowing businesses to efficiently merge, update, and insert rapidly changing data from transactional sources. Onehouse.ai eliminates operational burdens by providing a fully managed, highly optimized cloud service that can be deployed in minutes without requiring extensive engineering resources.

In summary, Onehouse.ai provides a comprehensive data lakehouse solution that simplifies data management, reduces costs, and supports a wide range of data use cases, including business intelligence, real-time analytics, and AI/ML applications.

Keywords: data lakehouse, open storage, continuous pipelines, automatic optimizations, cloud service, table formats, cost-effective, data management, real-time analytics, AI/ML.

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