Onehouse
UnclaimedThe universal data lakehouse platform for accelerated, cost-effective data ingestion and processing.
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TL;DR - Onehouse
- Accelerates data ingestion and ETL pipelines by 2-10x while reducing costs by 50% or more.
- Supports all major open table formats (Hudi, Iceberg, Delta Lake) with seamless interoperability.
- Provides a fully managed, serverless platform for data processing, eliminating operational overhead.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Significantly reduces Spark and SQL pipeline costs (50%+)
- Offers substantial performance improvements for ETL and queries (2-30x faster)
- Provides full interoperability with major open table formats, preventing vendor lock-in
- Simplifies data operations with a fully managed, serverless platform
- Supports real-time data ingestion from diverse sources (CDC, Kafka, cloud storage)
Cons
- Specific pricing details are not publicly available, requiring contact with sales.
- Azure support is listed as 'coming soon', indicating potential limitations for Azure-centric users currently.
Key Features
Quanton™ Engine for 2-3x faster SQL/Spark jobs at 1/2 the costIncremental ELT/ETL for reduced pipeline costsSmart table optimizations to minimize data scanned during queriesConsolidates and manages data in open formats to reduce cloud storage costsNear real-time ingestion for CDC workloadsZero-ops managed ELT experience with adaptive scalingOmnidirectional support for Apache Hudi, Apache Iceberg, and Delta Lake formatsSeamless switching between formats and engines without data migration
Pricing
Paid
Onehouse offers paid plans. Visit their website for current pricing details.
About Onehouse
By Toolradar Team·
Onehouse is a universal data lakehouse platform designed to streamline and optimize data operations across various cloud environments. Built by the creators of Hudi and XTable, it aims to provide a single, unified data lakehouse underpinning all cloud data platforms. The platform leverages its proprietary Quanton™ engine to deliver significant performance improvements and cost reductions for SQL and Spark-based ETL pipelines, often achieving 2-3x faster processing at half the cost.
Onehouse offers a fully managed experience for data ingestion (OneFlow), supporting real-time CDC, event streams, and cloud storage files into open table formats like Apache Hudi, Iceberg, and Delta Lake. It also provides a high-performance compute runtime (Quanton Engine) for running existing SQL and Spark jobs without rewrites, featuring serverless Spark, adaptive workload optimization, and high-performance I/O. The platform emphasizes openness and interoperability, allowing users to query data anywhere with various engines and integrate across multiple catalogs, making it suitable for data engineers, data scientists, and analytics teams looking to build efficient, scalable, and cost-effective data platforms.
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Onehouse FAQ
What is Onehouse?
Onehouse is a universal data lakehouse platform that unifies and optimizes data operations across cloud environments. It provides accelerated data ingestion, cost-effective ETL processing using its Quanton™ engine, and seamless interoperability across open table formats like Apache Hudi, Iceberg, and Delta Lake.
How much does Onehouse cost?
Onehouse pricing is not publicly disclosed on their website. They offer a free trial and encourage potential customers to contact their sales team for a customized cost savings estimate and pricing details.
Is Onehouse free?
Onehouse offers a free trial for its services. However, it is a paid product designed for enterprise-level data operations, and specific pricing requires contacting their sales team.
Who is Onehouse for?
Onehouse is designed for data engineers, data scientists, and analytics teams in organizations of all sizes, from startups to large enterprises. It's particularly beneficial for those looking to reduce costs, improve performance, and simplify the management of their data lakehouse operations across various cloud platforms.
Source: onehouse.ai