Work Here?
About Onehouse
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Series B
Total Funding
$68M
Headquarters
San Francisco, California
Founded
2021
Overview
Onehouse.ai offers a data lakehouse solution that helps businesses manage and optimize their data efficiently. Their main product is a fully managed service that allows clients to organize various types of data seamlessly, using formats like Apache Hudi, Apache Iceberg, and Delta Lake. This service automates data management tasks such as clustering, compaction, and encryption, making it easier for businesses to handle their data without needing extensive engineering resources. Onehouse.ai stands out from competitors with its usage-based pricing model, which can reduce data management costs by 50% or more compared to traditional cloud data warehouses. The company's goal is to simplify data management for businesses of all sizes, enabling them to scale their data operations while minimizing costs.
Simplify's Take
What believers are saying
- Onehouse's Compute Runtime accelerates queries up to 30x, reducing cloud costs significantly.
- The platform's open-source focus avoids vendor lock-in, ensuring interoperability and flexibility.
- Recent $35M funding supports further development and expansion of Onehouse's offerings.
What critics are saying
- Increased competition from major cloud providers like Microsoft and Google threatens market position.
- Reliance on open-source projects exposes Onehouse to community-driven development risks.
- Usage-based pricing model may lead to revenue unpredictability if customers minimize usage.
What makes Onehouse unique
- Onehouse offers a cloud-native managed lakehouse service built on Apache Hudi.
- The platform supports multiple table formats like Apache Hudi, Iceberg, and Delta Lake.
- Onehouse provides automated data management, reducing operational burdens for businesses.
Help us improve and share your feedback! Did you find this helpful?
Funding
Total Funding
$68M
Above
Industry Average
Funded Over
3 Rounds
Greylock Partners
Craft VenturesIndustry standards
Benefits
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
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↓ -4%2 year growth
↑ 5%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.
Onehouse is Hiring for 10 Jobs on Simplify!
Find jobs on Simplify and start your career today
People Also Viewed
Discover companies similar to Onehouse
About Onehouse
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Series B
Total Funding
$68M
Headquarters
San Francisco, California
Founded
2021
Onehouse is Hiring for 10 Jobs on Simplify!
Find jobs on Simplify and start your career today
People Also Viewed
Discover companies similar to Onehouse