Full-Time
Fully managed data lakehouse service platform
No salary listed
Bengaluru, Karnataka, India
Hybrid
Onehouse provides a fully managed data lakehouse service that runs on open storage and supports table formats like Apache Hudi, Apache Iceberg, and Delta Lake. It continuously ingests and optimizes data with automated tasks such as clustering, compaction, masking, and encryption, plus easy change data capture for up-to-date data. Pricing is usage-based, claiming data-management cost reductions of 50% or more versus traditional cloud warehouses and ETL tools; deployment is quick with minimal engineering. The goal is to simplify and reduce costs while enabling fast access for BI, real-time analytics, and AI/ML workloads.
Company Size
51-200
Company Stage
Series B
Total Funding
$68M
Headquarters
San Francisco, California
Founded
2021
Help us improve and share your feedback! Did you find this helpful?
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Company Equity
Unlimited Paid Time Off
Paid Sick Leave
Paid Holidays
Remote Work Options
Meal Benefits
Parental Leave
Advanced runtime optimizations - delivered centrally on top of open formats - accelerate queries 2x to 30x and slash customer cloud infrastructure bills 20 to 80 percent
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. As organizations store increasing volumes of information in data lakehouses, queries can potentially become slower and more costly.That is a challenge that Onehouse is looking to help solve. The data lakehouse technology vendor is a leading contributor to the open source Apache Hudi and Apache XTable data lake table formats. Today, the company is advancing its vision of a universal data lakehouse with its new Onehouse Compute Runtime (OCR), which offers the promise of queries that are accelerated up to 30X. That speed can potentially lead to dramatic cost savings of up to 80%, according to Onehouse.There are multiple open data lake table formats in use today, including Apache Hudi, Apache Iceberg and Delta Lake
Onehouse is launching a vector embeddings generator to automate embeddings pipelines as a part of its managed ELT cloud service.
Onehouse is continuing to build out open source Apache Hudi data lake technology, data lake table format interoperability with Apache XTable, alongside the company’s own Universal Data Lakehouse.
Managed data lakehouse company Onehouse Inc. raised $35 million in a Series B funding round, bringing its total funding to $68 million. The company also launched two new products to enhance lakehouse performance and reduce cloud costs. Onehouse, which supports Apache Hudi, Apache Iceberg, and Delta Lake, focuses on openness and interoperability. CEO Vinoth Chandar highlighted the platform's ability to optimize data across Snowflake and Databricks, emphasizing its open and interoperable framework.