$150-220k
+ Equity
Office located in Sunnyvale, CA
Pre-built data lakehouse foundation
Open for applications
Pre-built data lakehouse foundation
21-100 employees
Open for applications
$150-220k
+ Equity
Office located in Sunnyvale, CA
21-100 employees
To aid companies of all sizes in supercharging their data engineering/data science, by automating painful data infrastructure buildout.
Managing the ballooning volume of unstructured data is becoming a tough task for enterprise companies. The traditional solution, data lakes, doesn’t offer management or transaction capabilities. This lack of oversight could lead to data violations, that are becoming more costly as regulations tighten. Onehouse is catering to the growing number of businesses opting for an alternative, the so-called ‘data lakehouse’. It's hybrid architecture that offers the management and transaction capabilities of a warehouse, with the cost-effectiveness of a data lake.
The Onehouse platform is a management plane that helps businesses set up a data lakehouse without having to invest the time and expertise in building one from scratch. With an open data format, it can be used to work with protected or sensitive data; it also allows companies to easily pull their data from Onehouse without egress fees if they decide to leave the service.
Onehouse has carved out an astute market niche for itself: businesses under increasingly close scrutiny, but with ballooning data pools, who don’t need to build out highly customized lakehouses. For the moment, this tends to be top-tier enterprises, which is how Onehouse has secure deep pocketed clients like Walmart, Amazon, Zendesk, and Uber. As the first company to make fully managed data lakes possible, it is no surprise that it has received substantial funding. This will allow it to continue advancing the platform and grow its team to meet market demand.
Steph
Company Specialist
Jun 2024
$35m
SERIES B
Feb 2023
$25m
SERIES A
Sharon Heights, Menlo Park, CA
Founders
Vinoth Chandar
(CEO)Previously a Principal Engineer at Uber, then Confluent, and subsequently served as VP of Apache Hudl at The Apache Software Foundation.
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