Onehouse ai

Founded by Vinoth Chandar in 2021

Run fast data lakehouse ingestion and ETL pipelines inside your cloud account

Pricing model

Free Trial

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Onehouse to manage and run your data lakehouse workloads directly inside your own cloud or Kubernetes cluster. It lets you capture data continuously from databases, event streams, and cloud storage files into open formats like Apache Hudi, Apache Iceberg, and Delta Lake. You can run Spark and SQL transformation jobs without moving data outside your security perimeter. It also maintains metadata across catalogs like AWS Glue and Snowflake while providing sub-second SQL queries straight from cloud object storage.

What Onehouse ai does

Ingest real-time database change logs via CDCConvert tables across Iceberg, Hudi, and Delta Lake formatsRun Apache Spark and SQL transformation pipelinesSynchronize metadata with AWS Glue and Snowflake catalogsExecute sub-second SQL queries over open lake tablesAutomate background file compaction and table cleanupAutoscale compute clusters on Amazon EKS or Google GKEDirect deployment inside your VPC or private Kubernetes clustersUniversal table format conversion between Apache Hudi, Iceberg, and Delta Lake using Apache XTableManaged incremental ingestion with automated change data capture from major databasesPostgres-compatible serving layer for querying lake tables with sub-second latencyQuanton execution engine running Spark and SQL jobs with accelerated performanceAutomated continuous table maintenance including compaction, clustering, and cleaningUnified catalog synchronization across AWS Glue, Snowflake, Unity Catalog, and Hive

Pricing breakdown

Pricing model: Free trial

Tutorials & Demos

Frequently asked

PostgreSQL Oracle

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