The Universal Data Lakehouse

The only fully managed cloud data lakehouse designed to ingest from all your data sources in minutes and support all your query engines - at scale, for a fraction of the cost.

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Apache Hudi: The Definitive Guide

Whether you've been using Hudi for years, or you're new to Hudi's robust capabilities, this guide will help you build robust, open, and high-performing data lakehouses.

Free Your Data With The Industry's Most Open Data Lakehouse

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Ingest data in minutes, at scale

Ingest from databases and event streams at TB-scale in near real-time, with the simplicity of fully managed pipelines.
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Support all your query engines and use cases

Query your data with any engine, and support all your use cases including BI, real-time analytics, and AI/ML.
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Scale performance, not cost

Cut your costs by 50% or more compared to cloud data warehouses and ETL tools with simple usage-based pricing.
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Eliminate operational burden

Deploy in minutes without engineering overhead with a fully managed, highly-optimized cloud service.
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Maintain a single source of truth for your data

Unify your data in a single source of truth and eliminate the need to copy data across data warehouses and lakes.
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Choose your table format

Use the right table format for the job, with omnidirectional interoperability between Apache Hudi™, Apache Iceberg, and Delta Lake.

The Fastest Path to a Production-Grade Data Lakehouse

Ingest in Minutes

Quickly configure managed pipelines for database CDC and streaming ingestion. Keep all your data up to date with minute-level data freshness. Scale effortlessly to PBs of data on the industry’s most scalable ingestion platform.

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Store on One Central Platform, Access with Any Table Format

Take advantage of hands-off data management with automagic file sizing, partitioning, clustering, catalog syncing, indexing, caching, and more. Use XTable™ to query your analytics-ready tables as Apache Hudi, Apache Iceberg, or Delta Lake.

Transform Incrementally

Transform, process, and refine your data in-place with industry-first low-code incremental processing capabilities to optimize ELT/ETL costs. Validate and quarantine bad data to ensure quality.

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Query with Any Engine

Analyze and query your data with the engine of your choice - Snowflake, Databricks, Redshift, BigQuery, EMR, Spark, Presto, Trino, and more - with the widest data catalog support.

Keep your Data Secure

Onehouse is architected so that your data never leaves your account and remains protected within your private cloud. Onehouse is SOC2 Type 2 and PCI DSS compliant. Onehouse integrates with your SSO, provides access controls, and builds on standard encryption and IAM permissions.

Learn more about our secure architecture
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What Industry Leaders Have Achieved By Building Their Own Data Lakehouse

80%

compute cost reduction

2x

faster ETL
80% compute cost reduction
2x faster ETL
By migrating batch ETL from Apache Hive to incremental ETL on the data lakehouse, serving petabytes at minute-level freshness
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$1.25 M savings/year
1 week -> 2 hours resync
By replacing Fivetran/Snowflake with PostgresSQL CDC ingestion to the data lakehouse, powering BI and AI from a single data platform
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100 TB/day ingestion
> 80% compute, storage cost reduction
By powering high-scale streaming ingestion from Kafka to the data lakehouse, while implementing efficient GDPR deletes on massive data sets
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We Built Onehouse To Make These Results Accessible To Every Organization

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Powered By Apache Hudi

Onehouse is made by the creators of Apache Hudi, the pioneering lakehouse technology now used industry wide.

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Alibaba Cloud logo
Robinhood logo
Zendesk logo
Cirium logo
Moveworks logo
Zoom logo
Kyligence logo
Philips
Nerdwallet
Hopworks
Logo
Tencent Cloud logo
Disney Hotstar logo
aws logo
udemy logo
google cloud logo
GE Aviation logo
Grofers logo
Halodoc logo
ClinBrain Logo
Walmart logo
Yotpo logo
Aibank logo
Bilibili logo
DV logo
ByteDance logo
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Amplified By XTable

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Write your data as Apache Hudi, Delta Lake, and Apache Iceberg, for interoperability across all catalogs and query engines

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Customer testimonials

“The data lakehouse architecture now powers our data analytics and data science use cases, so we can build the next generation of data products.”

Ronak Shah
Head of Data at Apna

“Onehouse has allowed us to manage large volumes of data more effectively than ever, ensuring high performance and cost efficiency across the board.”

Jonathan Sims
VP, Data & Analytics at NOW Insurance

“With Onehouse, we can now leverage machine learning models to gain rapid insights into outages and meter telemetry, enhancing our operational efficiency.”

Taieb Lamine Ben Cheikh
Ph.D., Data scientist, Olameter Inc.