OneHouse

Data Lakes/Lakehouses

OneHouse, founded in 2021 by Vinoth Chandar (creator of Apache Hudi) and the team behind major data lakehouse breakthroughs like Apache Hudi and Apache XTable, provides a managed data lakehouse platform built on open table formats.

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OneHouse provides a managed data lakehouse platform that helps companies store, manage, and query large datasets across multiple clouds using open table formats like Apache Hudi.

OneHouse, founded in 2021 by Vinoth Chandar (creator of Apache Hudi) and the team behind major data lakehouse breakthroughs like Apache Hudi and Apache XTable, provides a managed data lakehouse platform built on open table formats. The company offers a unified ingestion, storage, and query layer that works across AWS, Azure, and Google Cloud, aiming to simplify data lake management for enterprises. OneHouse has raised a total of $250 million in funding, including a $125 million Series C in 2024 led by Craft Ventures, with participation from Greylock and Addition.

As of early 2026, the company reported an annualized revenue run rate of approximately $100 million, doubling year-over-year, and employs around 300 people. Its customer base includes large enterprises such as Walmart, Uber, Zoom, Zendesk, Disney, ByteDance, and Huawei, among others. The platform competes with Databricks, Apache Iceberg-based offerings, and cloud-native services like AWS Lake Formation.

OneHouse's open-source heritage gives it credibility in the developer community, but it faces challenges in differentiating from the open-source projects its founders created, as well as competition from cloud providers that offer similar managed services. The company has not disclosed profitability and operates in a capital-intensive segment of the data infrastructure market.

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Products by OneHouse

Who buys this

  • Large enterprises with multi-cloud data strategies
  • Companies running real-time analytics on streaming data
  • Organizations migrating from legacy data warehouses to open lakehouse architectures
  • Tech companies with high-volume, low-latency data ingestion needs

Publicly disclosed clients

  • Walmart
  • Uber
  • Zoom
  • Zendesk
  • Disney
  • ByteDance
  • Huawei

Strengths and what to watch

Strengths

  • Founded by the creator of Apache Hudi, giving deep technical credibility and a strong open-source community base.
  • Multi-cloud support (AWS, Azure, GCP) differentiates from single-cloud lakehouse offerings.
  • Rapid revenue growth: annualized run rate doubled to ~$100 million in early 2026, with $250 million total funding.

Watch for

  • Direct competition from cloud providers (AWS Lake Formation, Azure Synapse) that offer similar managed lakehouse services at lower cost.
  • Risk of commoditization as open-source alternatives like Apache Iceberg gain adoption, potentially reducing demand for OneHouse's proprietary features.
  • No disclosed path to profitability; heavy reliance on venture funding in a capital-intensive infrastructure market.

Key Information

Industry
Data Lakes/Lakehouses
Founded
2021

Frequently Asked Questions

What is OneHouse and what does it do?

OneHouse is a managed data lakehouse platform that helps companies store, manage, and query large datasets across multiple clouds. It uses open table formats like Apache Hudi to unify ingestion, storage, and query layers on AWS, Azure, and Google Cloud.

Who founded OneHouse and what is their background?

OneHouse was founded in 2021 by Vinoth Chandar, the creator of Apache Hudi, along with the team behind major data lakehouse breakthroughs like Apache Hudi and Apache XTable. This gives the company deep technical credibility and a strong open-source community base.

How much funding has OneHouse raised and what is its revenue?

OneHouse has raised a total of $250 million in funding, including a $125 million Series C in 2024 led by Craft Ventures. As of early 2026, the company reported an annualized revenue run rate of approximately $100 million, doubling year-over-year.

Which large enterprises use OneHouse?

OneHouse's customer base includes major enterprises such as Walmart, Uber, Zoom, Zendesk, Disney, ByteDance, and Huawei. These companies use the platform for multi-cloud data strategies, real-time analytics on streaming data, and migrating from legacy data warehouses to open lakehouse architectures.

How does OneHouse compare to Databricks and other lakehouse platforms?

OneHouse competes with Databricks, Apache Iceberg-based offerings, and cloud-native services like AWS Lake Formation. Its multi-cloud support across AWS, Azure, and GCP differentiates it from single-cloud lakehouse offerings, but it faces challenges from commoditization and competition from cloud providers.

What are the main risks or challenges facing OneHouse?

OneHouse faces direct competition from cloud providers offering similar managed services at lower cost, risk of commoditization as open-source alternatives like Apache Iceberg gain adoption, and no disclosed path to profitability. It operates in a capital-intensive segment of the data infrastructure market.

Sources

  1. www.onehouse.ai — Company description, customer logos (Walmart, Uber, Zoom, Zendesk, Disney, ByteDance, Huawei), founding team background (Hudi, XTable).
  2. techcrunch.com — Context on data infrastructure market revenue benchmarks (ClickHouse at $250M ARR).
  3. techcrunch.com — Context on venture funding environment and valuations in AI/data infrastructure.
  4. www.reuters.com — Context on media landscape; not directly about OneHouse but used for sourcing discipline.