Data Analytics · Founded by Vinoth Chandar

Onehouse ai

A cloud-native, fully-managed universal data lakehouse platform built on Apache Hudi that unifies data lakes and warehouses.

Cost

Free Trial

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Onehouse to build and manage data lakehouses across multiple cloud storage formats including Apache Hudi, Apache Iceberg, and Delta Lake. It provides automated data ingestion from databases and streams, runs ETL pipelines with 50% cost savings, and includes automatic table optimizations. The system works across AWS, GCP, and Azure, allowing you to query data using various engines like Spark, Snowflake, BigQuery, and Databricks without data migration.

What Onehouse ai does

Set up continuous data ingestion from databases and event streamsRun existing Spark and SQL jobs on cost-optimized compute runtimeConfigure automatic table compaction and optimization schedulesDeploy lakehouse infrastructure in your cloud VPCMonitor data pipeline performance and costs in real-timeTransform data between different lakehouse table formatsQuery lakehouse data from multiple analytics engines simultaneouslyGenerate embeddings for AI workloads directly from lakehouse tablesWorks with Apache Hudi, Iceberg, and Delta Lake formats simultaneouslyCuts ETL pipeline costs by 50% with incremental processingAutomatically optimizes tables for 2-30x faster queriesDeploys in your own VPC across AWS, GCP, and AzureIngests CDC workloads in near real-time with zero operationsSwitches between storage formats without data migrationProvides 2-3x faster Spark jobs with Quanton engineSyncs data across multiple catalogs including Snowflake and BigQuery