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Onehouse Cloud

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What Onehouse Cloud is

Onehouse Cloud is a managed lakehouse platform for analytics and AI that runs in a customer’s virtual private cloud (VPC). It brings data ingestion, compute, table services, query engines and catalog synchronization together for teams using data in cloud storage. OneFlow incrementally ingests data into Apache Hudi, Apache Iceberg and Delta Lake tables. Quanton runs SQL, Spark jobs and PySpark notebooks on autoscaling compute. Managed open engine clusters support Trino, Apache Flink and Ray. Onehouse automates lakehouse table services and says this can make queries on tables up to 10 times faster. OneSync syncs table metadata across Snowflake, Databricks Unity Catalog, Google Data Catalog and AWS Glue. Onehouse says data remains in the customer’s VPC, is encrypted at rest and in motion, and does not leave the customer’s account and VPC. The service includes project-level role-based access controls and audit logs. Onehouse states that it is SOC 2 Type 1 and 2 certified and PCI DSS compliant. Usage is billed in Onehouse Compute Units (OCU); cloud infrastructure costs are paid separately.

Who it suits

Onehouse Cloud suits teams accelerating existing Spark workloads, reducing warehouse costs or building a new analytics platform. It is designed for teams that want managed lakehouse services while data stays in their own VPC.

What it does well

  • Ingests incrementally into Hudi, Iceberg and Delta Lake tables.
  • Runs SQL, Spark jobs and PySpark notebooks with autoscaling compute.
  • Supports Trino, Apache Flink and Ray on managed engine clusters.
  • Syncs metadata across four named catalog integrations.
  • Includes project-level role-based access controls and audit logs.

What to know first

  • Cloud infrastructure costs are separate from OCU usage.
  • Open Engines support is limited to infrastructure-level issues.
  • Retrieving costs by API is not yet available.

Limits

The OneFlow trial provides $1,000 in credit for 30 days. Open Engines are free for a limited time, but cloud resource costs still apply and support covers infrastructure-level issues only.

Plans

PlanBilled and limitsPrice
Usage-based (OCU)Compute usage measured in Onehouse Compute Units (OCU), plus support costs; cloud infrastructure costs are paid separately to the cloud provider. · 1 OCU = a 4-core instance for 1 hour · no additional volume-based or storage feesOn request

As onehouse.ai lists them, read 5 Oct 2026. The maker's own page has the final word.

Getting started

  1. Visit the Onehouse Cloud website.
  2. Start the OneFlow free trial, which includes $1,000 in credit for 30 days.
  3. Use the web or API platform.
  4. Choose usage-based billing measured in Onehouse Compute Units; pay cloud infrastructure costs to the cloud provider separately.

Verdict

Choose Onehouse Cloud if your team needs managed lakehouse ingestion, compute and table services in its VPC. Teams considering Open Engines should account for separate cloud resource charges and limited support, and all users should account for separate infrastructure costs.

Questions

What does Onehouse Cloud cost?

The listed plan is usage-based, measured in Onehouse Compute Units, with support costs. Cloud infrastructure is billed separately by the cloud provider; no plan price is listed.

Is there a free trial?

Yes. The OneFlow page offers a 30-day trial with $1,000 in free credit.

Which platforms does it support?

The listed platforms are web and API.

Which table formats can it use?

OneFlow incrementally ingests data into Apache Hudi, Apache Iceberg and Delta Lake tables in cloud storage.

Which query engines are supported?

Onehouse-managed open engine clusters support Trino, Apache Flink and Ray.

Where does customer data reside?

Onehouse says data stays in the customer’s VPC, is encrypted at rest and in motion, and does not move outside the customer’s account and VPC.

Facts from Onehouse Cloud's own pages

Access controls
The platform offers project-level role-based access controls and audit logs. · onehouse.ai, 5 Oct 2026
Billing limitation
Retrieving costs via API is not yet available. · docs.onehouse.ai, 5 Oct 2026
Catalog integrations
OneSync syncs table metadata across catalogs including Snowflake, Databricks Unity Catalog, Google Data Catalog, and AWS Glue. · onehouse.ai, 5 Oct 2026
Company
Onehouse was founded by Vinoth Chandar and lists its address in Sunnyvale, California. · onehouse.ai, 5 Oct 2026
Compliance
Onehouse states it is SOC 2 Type 1 and 2 certified and PCI DSS compliant. · onehouse.ai, 5 Oct 2026
Compute
Quanton runs SQL, Spark jobs, and PySpark notebooks with autoscaling compute. · onehouse.ai, 5 Oct 2026
Founded
2021 · onehouse.ai, 28 Sept 2026
Headquarters
Sunnyvale, California, United States · onehouse.ai, 28 Sept 2026
Ingestion
OneFlow incrementally ingests data into Apache Hudi, Apache Iceberg, and Delta Lake tables in cloud storage. · onehouse.ai, 5 Oct 2026
Intended users
The platform is presented for teams accelerating existing Spark workloads, reducing warehouse costs, or building a new analytics platform. · onehouse.ai, 5 Oct 2026
Open Engines pricing and support
Open Engines are offered free for a limited time, but cloud resource costs still apply and support is limited to infrastructure-level issues. · docs.onehouse.ai, 5 Oct 2026
Purpose
Onehouse is a fully managed lakehouse platform for analytics and AI that runs in the customer's VPC. · onehouse.ai, 5 Oct 2026
Query engines
Onehouse-managed open engine clusters support Trino, Apache Flink, and Ray. · docs.onehouse.ai, 5 Oct 2026
Security and privacy
Onehouse says data stays in the customer's VPC, is encrypted at rest and in motion, and the service does not move data outside the customer's account and VPC. · onehouse.ai, 5 Oct 2026
Table optimization
The platform automates lakehouse table services and says this can deliver up to 10x faster queries on tables. · onehouse.ai, 5 Oct 2026
Trial
The OneFlow page offers a free trial with $1,000 in free credit for 30 days. · onehouse.ai, 5 Oct 2026

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