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Fast, Open, and Cost-Effective

Truly Open Data Lakehouse
Lightning Fast, Half the Cost

Eliminate data silos, slash ELT/ETL costs, and leave vendor lock-in behind.

Free Test Drive

Cut costs across your stack.

Optimized tables, efficient serverless compute runtime, and a game-changing SQL / Apache Spark™ engine - Quanton™.

Open by design. No lock-in.

Store data in your own buckets in any cloud. Query with any engine and catalog. Build on open standards with Apache Hudi™, Apache Iceberg™, and Apache XTable™ (Incubating).

The fastest data pipelines, pain-free.

Easily run workloads incrementally for fast data and lower costs, all on a fully-managed platform.

Built by the team behind Hudi, XTable and the major data lakehouse breakthroughs.

Already powering the largest data platforms on the planet

Zoom
Zendesk
Yotpo
Huawei
Halodoc
Udemy
Uber
Robinhood
Philips
Nerdwallet
Kyligence
Hopsworks
HBC
Bili Bili
Moveworks
Tencent Cloud
DoubleVerify
Grofers
GE Aviation
Google Cloud
Disney+ Hotstar
ClinBrain
Cirium
ByteDance
AWS
Amazon
Alibaba Cloud
Aibank
37 Interactive Entertainment
The Onehouse Advantage

One Data Lakehouse Underpinning all your Cloud Data Platforms

Powered by Quanton™: 5x faster; at-least 1/2 the cost

Run existing SQL/Spark jobs as-is, no rewrites needed
Slash Spark and SQL pipeline costs by 50%+ with incremental ELT/ETL
Minimize data scanned during queries with smart table optimizations
Consolidate and manage data in open formats to reduce cloud storage costs
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Lightning-Fast Data Ingestion

Ingest the toughest CDC workloads in near real-time
Zero ops managed ELT experience, with support for all popular data sources
Adaptive scaling to handle workload spikes and lags to maintain SLAs
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Unmatched Flexibility

Omnidirectional support for Apache Hudi, Apache Iceberg, and Delta Lake formats
Seamlessly switch between formats and engines without data migration
Runs on AWS, GCP, and Azure
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Query Anywhere

Spin up Open Engines with a few clicks
Readily attach cloud native engines (Amazon Athena) or Cloud Warehouses (Google BigQuery, Snowflake, Redshift)
Deploy Apache Spark pipelines using Amazon EMR or Databricks
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Best-in-Class Performance

Up to 4-10x faster ELT/ETL pipelines with incremental data processing
Automatic table optimizations to deliver 2-30x faster queries across engines
High-performance I/O for all core lakehouse operations
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Onehouse Cloud

Deploy Onehouse in your VPC and choose the features you want. Only pay for what you use.

Deployment Options
Onehouse in Your Cloud
Onehouse in Your Cloud
  • Deploy the Onehouse Platform in your own VPC, on any cloud
Quanton K8s Operator
Quanton K8s Operator
  • Faster Apache Spark jobs on your existing Kubernetes infrastructure
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From Any Source
Cloud Storage
Database CDC
Streaming
Fast, Incremental Ingestion
  • Fully managed operations to reduce engineering overhead
  • Automated performance tuning and real-time monitoring
  • Built-in tools for compliance and data integrity
  • Single source of truth for all data operations
Universal Data Storage
Support for All Table Formats with Xtable
  • Seamless data transformation across formats
  • Universal query compatibility for analytics, ML, and GenAI
Multi-Catalog Synchronization
Multi-Catalog Synchronization
  • Simultaneously sync data with Snowflake, Databricks, Big Query, and more
  • Access data across multiple query engines from a single managed pipeline
Open Engines
Open Engines
  • Deploy open source compute engines against a single copy of data in your lakehouse tables for stream processing, BI, and AI
  • Eliminate the complexities of manual deployment and proprietary lock-in of traditional systems
Lakehouse Workloads
Streaming Ingestion
Incremental ETL
Table Optimizations
Low-Latency Queries
Lakehouse Workloads
  • Real-time data streaming for instant insights
  • Smart incremental ETL for efficient pipelines
  • Automated table optimization for peak performance
  • Fast, interactive SQL queries on the lakehouse
SQL and Spark Jobs
Quanton™ Engine
SQL and Spark Jobs
Deliver 5x faster performance at up to 70% lower cost on SQL and Spark-based ETL pipelines using your existing tools and libraries, with Quanton Engine on Onehouse Compute Runtime.
Onehouse Compute Runtime
Adaptive Workload Optimizer
Serverless Spark Compute
High-Performance Lakehouse I/O
Onehouse Compute Runtime
  • Intelligent workload optimization with multiplexed scheduling and automated performance tuning
  • Serverless Spark with elastic scaling and cost-optimized spot instances
  • High-performance I/O with vectorized processing and optimized storage access
Deliver Data to Any Workload
Warehouse
Query Engines
AI/ML Platforms
Vector Database
Deliver Data to Any Workload
  • Leverage open-source formats in your own cloud buckets for ultimate control and flexibility.
  • Use any engine, integrate across catalogs, and access your data from multiple platforms & query engines seamlessly.
Explore Platform Details

Our Solutions

Slash Spark and SQL ETL Costs by 50%+

Run your existing Spark and SQL pipelines on Quanton™ for 5x faster performance at half the cost. No rewrites required: just point your jobs to Onehouse and start saving.

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Accelerate Data Ingestion

Battle-hardened performance for near-real-time ingestion from any databases, event streams, and cloud storage. Proven to consistently outperform every competing solution at any scale.

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Optimize Lakehouse Tables

Accelerate queries up to 30x with automated table maintenance services for Apache Hudi, Apache Iceberg, and Delta Lake. Use performance profiles to balance write vs. query cost/performance.

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Fast Data Prep for your Warehouse

Cut data warehouse costs by 30-80%. Offload compute-intensive transformations to Onehouse Compute Runtime. Share your data between platforms such as Databricks, Google BigQuery, and Amazon Redshift.

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Supercharge your Hudi Lakehouse

Automated table optimization on a high-performance runtime to slash compute costs by 20-80% on any Spark/Hudi pipeline. Backed by 24/7 enterprise support.

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Vector Embeddings for Gen AI

Generate vectors from your data, stored directly in your data lakehouse for cost-efficient serving and reduced API calls.

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Trusted by Innovators

Apna Logo

“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
Full Case Study
Conductor logo

“With automated scaling and resources that adapt to our workloads, Onehouse helps us build out our core platform differentiators rather than having to continuously optimize our data stack.”

Emil Emilov
Conductor’s Principal Software Engineer
Full Case Study
Now logo

“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
Full Case Study
Olameter logo

“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.
Full Case Study

Ready to Experience Onehouse?

Slash costs, supercharge performance,
and build your lakehouse free from lock-in.

Free Test Drive