Onehouse + Confluent

Scale data ingestion like the world’s most sophisticated data teams, without the engineering burden

The Modern Data Journey with Onehouse and Confluent

The Onehouse universal data lakehouse is the trusted source of data for all your workloads, with native support for streaming events. Onehouse integrates with Confluent's foundational platform for data-in-motion. With Confluent Cloud and Onehouse, you can build limitless real-time workloads in minutes to power use cases across your entire ecosystem, including change data capture, analytics, AI and ML, and more.

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Seamless Kafka ingestion into the data lakehouse

Onehouse integrates with Confluent Cloud to ingest your messages into a persistent data lakehouse for analytics.

Here's what Onehouse brings to the table:

Efficiently merges Kafka messages into tables
Handles late arriving data
Stores data in open, analytics-optimized columnar formats
Auto-optimizes data for efficient queries
Enables incremental ETL pipelines to derive new tables from raw data

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Database replication made easy by end-to-end CDC pipelines

Change Data Capture (CDC) is the real-time process of detecting, capturing, and forwarding relational database changes to a downstream service like Onehouse. When you connect a database (eg. Postgres), Onehouse will automatically provision and manage resources in your Confluent cluster to facilitate CDC data ingestion into the lakehouse.

Learn more in our blog post and the end-to-end solution guide.