Talk with our engineers by joining the new Onehouse community Slack!
One Data Lakehouse. Any Cloud.

Open Data Infrastructure in Your Own Cloud Account

Run 5x more Databricks and Snowflake workloads for what you already spend.

Free Test Drive

Full interoperability. No lock-in.

One copy of your data, readable everywhere. Hudi, Iceberg and Delta in every direction. Every catalog at once.

5x more scale per dollar.

75% less than Databricks and Snowflake on TPC-DS. More pipelines, queries, maintenance for less. We measure your actual workload.

Runs on your Kubernetes.

Your VPC. Your Kubernetes. Data never leaves your account. Lower TCO by simply keeping the discounts you already negotiated.

From the team that built planet-scale data infrastructure at Uber, LinkedIn and Confluent.

We created Apache Hudi™ and Apache XTable™ — the open source running some of the largest data lakes 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

Ingest, Transform, Serve. One Platform.

Deploy Onehouse in your VPC or any Kubernetes cluster. Pay as you go, or a flat yearly fee.

Deployment Options
Onehouse in Your Cloud
Onehouse in Your Cloud
  • Deploy the Onehouse Platform in your own VPC, on any cloud
Onehouse in Your K8s
Onehouse in Your K8s
  • Any managed Kubernetes: Amazon EKS, Google GKE or Azure AKS
  • Your own Kubernetes, including on-premises clusters
  • Or a NeoCloud: Nebius, CoreWeave, Nscale, DigitalOcean or Crusoe
Onehouse Platform Components
Capture from Any Source
Cloud Storage
Database CDC
Streaming
Capture from Any Source
  • Cloud storage: Parquet, JSON, CSV, XML and binary files on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, or any S3-compatible object store
  • Database CDC: Oracle, PostgreSQL, MySQL, SQL Server, MongoDB, DynamoDB and other NoSQL stores, captured as change streams
  • Streaming: Apache Kafka, Confluent Cloud, Amazon MSK, Redpanda and Apache Pulsar, read continuously rather than in batches
OneFlow™
Managed Ingestion
OneFlow™ Ingestion
  • Incremental end to end. Each run reads and writes only what changed, so cost tracks new data, not table size.
  • Fully managed CDC, streams and files, with lag-aware scheduling that holds your freshness target.
Spark Jobs/ETL
Transform data
Spark Jobs/ETL
  • Transformation pipelines in SQL, Spark, Scala or PySpark, with no rewrites
  • Incremental by default, so jobs process only what changed
Lakegres™
Analytics and AI Context Serving
Lakegres™
  • The analytics and AI serving layer, straight from open tables
  • A Postgres-compatible endpoint; 2-10x faster than AWS Athena in production
Quanton™ Engine
SQL and Apache Spark
Quanton™ Engine
Run SQL and Spark ETL 5x faster than open-source Spark at 75% lower cost, using your existing tools and libraries, with the Quanton Engine on the Onehouse Compute Runtime.
Onehouse Compute Runtime
Adaptive Workload Optimizer
Serverless Spark Compute
High-Performance Lakehouse I/O
Onehouse Compute Runtime
  • Our autoscaler right-sizes clusters in minutes, where Spark’s default needs 30-40.
  • Multiplexed scheduling packs many jobs onto shared clusters, on spot and Graviton.
  • Vectorized columnar merging and storage access tuned to cut cloud request costs.
Open Table Storage and Optimization
Open Table Storage and Optimization
  • Apache Hudi, Apache Iceberg and Delta Lake in your own buckets, converted in any direction with Apache XTable (Incubating)
  • Table Optimizer runs compaction, clustering, cleaning and file-sizing continuously, so tables stay fast without a maintenance job to babysit
Deliver Data to Any Workload
Warehouse
Query Engines
AI/ML Platforms
Vector Database
Deliver Data to Any Workload
  • OneSync keeps table metadata and access permissions in step across Glue, Unity, Snowflake and Hive at the same time, in every format.
  • Every cloud ships its own catalog. Staying decoupled from all of them is what makes the experience uniform across engines, formats and clouds, instead of one vendor deciding who can read what.
  • Your data stays in open formats in your own buckets, readable by any engine you point at it.
Explore Platform Details

Already running at the scale you’re worried about.

ingested per day
350+ TBingested per dayfor a single customer
job runs every month
800K+job runs every monthcrunching petabytes every day
job success rate
99%job success ratein production, at that scale

Running today in our customers' own cloud accounts, on their own Kubernetes.

Kubernetes Already Won

Run it in your cloud. Not theirs.

Powered by Quanton™: 5x faster, 75% lower cost

5x faster than open-source Spark, and as fast or faster than Databricks Photon on real ETL. No per-cluster premium.
Repoint your existing jobs. No rewrites. Prove it first with the free Cost Analyzer for Apache Spark.
A laptop computer surrounded by stacks of money.

Real-Time Ingestion at Any Scale

OneFlow ingests database CDC, event streams and cloud storage in near real-time, and handles 350+ TB/day for our largest users.
Fully managed. No Kafka or Debezium cluster to run.
A computer generated image of stacks of coins and a magnifying glass.

Write Once. Query Everywhere.

Apache Hudi, Iceberg and Delta in every direction. Every catalog at once.
OneSync maintains tables and permissions across Glue, Unity, Snowflake and Hive at once, so no single catalog owns your data.
A computer generated image of a bunch of cubes.

Sub-Second Queries, Straight From the Lake

Lakegres answers interactive queries in under a second on open tables. 2-10x faster than AWS Athena in production.
A Postgres endpoint for any SQL tool, BI client or AI agent to directly query cloud storage.
A set of three purple objects with a disk in the middle.

A K8s Runtime Built for Data Workloads

Virtual clusters with queues, isolation and mixed instance types, on your own Kubernetes.
Reschedules when data falls behind, absorbs shuffle failures, merges only what changed.
The Spark AI agent cuts time-to-root-cause by 80%.
A bunch of items that are in a purple box.

Move One Workload. Then Move the Rest.

Slash Spark and SQL ETL Costs by 75%

Run your existing Spark and SQL pipelines on Quanton™ — 5x faster than open-source Spark, and as fast or faster than Databricks Photon on real ETL, with no per-cluster premium. No rewrites required: just point your jobs to Onehouse and start saving.

Explore More
A computer screen with gears and a graph on it.

Accelerate Data Ingestion

Battle-hardened performance for near-real-time ingestion from any databases, event streams, and cloud storage. Handles 350+ TB/day for our largest users.

Explore More
A purple object with a black background.

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.

Explore More
A computer screen with gears and a graph on it.

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.

Explore More
A purple box with a white house on top of it.

Open Table Formats, 10x Easier

Apache Hudi and Apache Iceberg, written and maintained natively. OneFlow, Table Optimizer, Quanton and Lakegres replace the DIY stack on Dataproc, EMR, Fabric, BigQuery and Redshift, run by the team that created Hudi.

Explore More
A stylized image of a purple cube surrounded by smaller cubes.

Make Your Data AI-Ready

Unstructured ingestion, vectors kept current, batch inference, context served at database speed, an AI gateway and agent traces, all in open formats you own.

Explore More
A computer generated image of a hexagonal object.

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

Don't take our word for it.

Our numbers come from standard TPC-DS benchmarks. Yours won't be. Point the free Cost Analyzer at your own Spark History Server, or we'll run a TCO estimate on what you pay today.

Free Test Drive