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SPECIFICTION
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Onehouse Cloud

onehouse.ai

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Spec score 7.4 #12 of 23 in Data Lakehouse Platforms

What it is

Onehouse Cloud is a managed lakehouse platform for analytics and AI that operates in a customer's virtual private cloud. It combines ingestion, compute, table services, query engines, and catalog synchronization for cloud-storage data. OneFlow incrementally writes Apache Hudi, Apache Iceberg, and Delta Lake tables. Quanton runs SQL, Spark jobs, and PySpark notebooks with autoscaling compute. Managed open-engine clusters support Trino, Apache Flink, and Ray. Automated table services are intended to improve query speed, with Onehouse stating results can be up to 10 times faster on tables. OneSync synchronizes metadata with Snowflake, Databricks Unity Catalog, Google Data Catalog, and AWS Glue. Onehouse says data remains in the customer's account and VPC, encrypted at rest and in motion. Project-level roles, audit logs, SOC 2 Type 1 and 2 certification, and PCI DSS compliance are listed. Usage-based billing uses Onehouse Compute Units, while cloud infrastructure is paid separately. A 30-day OneFlow trial includes $1,000 credit.

Spec sheet

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

Plans and prices

Usage-based (OCU) Priced on request 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 fees Read 5 Oct 2026 · docs.onehouse.ai

Every Onehouse Cloud plan and price →

Strong points and limits

Strong points

  • Runs inside the customer's VPC
  • Supports Hudi, Iceberg, and Delta Lake
  • Autoscaling SQL, Spark, and PySpark compute
  • Project roles and audit logs
  • 30-day trial with $1,000 credit

Limits

  • Cloud infrastructure costs are separate
  • API cost retrieval is unavailable
  • Open Engines support is infrastructure-only

Who it suits

It suits teams accelerating Spark workloads, reducing warehouse costs, or building an analytics platform in their own VPC. It also fits organizations needing lakehouse formats, governance catalogs, and managed query engines.

Verdict

Onehouse Cloud brings ingestion, processing, table management, and catalog synchronization into a managed lakehouse service. Its VPC-based security model and broad engine and format support are notable, while separate infrastructure billing and limited Open Engines support require planning.

Where Specifiction places it

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