Onehouse

The Managed Data Lakehouse.

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Overview

Onehouse is a managed data lakehouse service that makes it easy to build and run a data lakehouse on an open source foundation. It automates the management of open source technologies like Apache Hudi, Apache Spark, and Apache Iceberg, so you can focus on getting value from your data, not managing infrastructure.

✨ Key Features

  • Managed data lakehouse service
  • Automated data management (ingestion, transformation, etc.)
  • Support for open table formats (Hudi, Iceberg)
  • Serverless and auto-scaling
  • Built-in data governance and security
  • Zero-copy data sharing

🎯 Key Differentiators

  • Managed service for open source data lakehouse technologies
  • Focus on automating data management tasks
  • Founded by the creators of Apache Hudi

Unique Value: A fully managed data lakehouse service that eliminates the complexity of managing open source data infrastructure, allowing you to focus on data and analytics.

🎯 Use Cases (4)

Data lakehouse automation Streaming data analytics Data engineering and ETL Building a modern data platform

✅ Best For

  • Automating the management of a data lakehouse built on Apache Hudi
  • Building real-time data pipelines for streaming analytics
  • Simplifying data ingestion and transformation

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Organizations that prefer to manage their own data infrastructure
  • Small-scale, non-streaming data analysis

🏆 Alternatives

Databricks Upsolver

Offers a more managed and automated solution for building a data lakehouse on open source technologies compared to self-managing or using a more proprietary platform.

💻 Platforms

Web API

🔌 Integrations

AWS S3 Databricks Snowflake Apache Spark Apache Flink

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Phone Support
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ SOC 2 ✓ GDPR ✓ SSO ✓ SOC 2 Type 2

💰 Pricing

Contact for pricing

✓ 14-day free trial

Free tier: NA

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