Onehouse Managed Lakehouse solution is designed to help customers build and implement a modern data lakehouse in a fast and cost effective way. It turns data lakes into fully managed lakehouses by bringing data warehouse functionality to the data lake as well as automating data management services like ingestion, performance optimization, indexing, observability or data quality management. Apache Hudi is the ground-breaking open-source Lakehouse technology that powers Onehouse.

Onehouse is a truly open solution that allows customers to access data from any query engine such as Presto, Amazon Athena/Redshift, GCP BigQuery, Snowflake or Spark. It can help organizations build data lakes in days, not months, realize large cost savings but still own their data in open formats.

Onehouse Product Features

1. Managed Ingestion 1.1) Incremental Ingestion from popular RDBMS, NoSQL, Kafka, S3 files 1.2) Autocapture data streams using regex patterns 1.3) Multi-regional Kafka ingestion to merge data that is geo-replicated 1.4) Advanced Multiplexed streaming ingestion

2. ETL Transformations 2.1) Low/No-code incremental ETL pipelines 2.2) Ability to plug in custom code transformations 2.3) Data deduplication

3. Data Quality Quarantine 3.1) Schema validation 3.2) Timestamp validation 3.3) Quarantine bad data

4. Catalog Syncing 4.1) AWS Glue Catalog 4.2) Hive Metastore 4.3) GCP DataProc Metastore 4.4) GCP BigQuery + BigLake 4.5) DataHub 4.6) Snowflake and Databricks via Onetable

5. Table Services 5.1) Table bookkeeping and metadata management 5.2) Time travel and data versioning 5.3) Auto-Savepoints and recovery

6. Management Plane 6.1) Automated Monitoring/Alerting 6.2) Metrics 6.3) Access control & permissions

We offer one month free trial to approved customers. Reach out to gtm@onehouse.ai  if you are interested.

For custom pricing, EULA, or a private contract, please contact gtm@onehouse.ai , for a private offer.