Rivery

Rivery is an ELT and data pipeline platform owned by Boomi, for data teams that want ingestion, CDC replication, transformation and reverse ETL in one service.

Rivery moves data from business applications and databases into cloud warehouses and lakes, then transforms it and sends results back out to other systems. It is part of Boomi, and inside the Boomi Enterprise Platform the same service carries the name Boomi Data Integration. The company behind it, Rivery Technologies Ltd., keeps its office in Ramat Gan, Israel. The service is delivered entirely as SaaS, so pipelines are built and run from the browser. Data ingestion draws on a library of managed integrations, and a self-serve REST API source reaches systems outside that library. Database sources replicate through change data capture, which reads the source logs, or through incremental runs that pull only rows added or changed since the last run. When a source table gains columns or changes type, schema drift handling updates the target to match. Transformations run as in-database SQL queries or Python code, triggered as soon as ingestion finishes. Reverse ETL returns modelled data to operational tools, and Kits supply pre-built workflows for common sources. Rivery is built for data teams, from small analytics groups to enterprises with heavy replication and security needs. Data engineers who write SQL and Python get workflow orchestration, built-in version control and CI/CD for moving pipelines between environments. An API and a CLI let a team run data flows and manage connections from its own scripts. Larger organizations reach databases on private networks through PrivateLink, reverse SSH or VPN tunnels, and sign users in through single sign-on and SCIM. A typical pipeline loads SaaS and database data into Snowflake, BigQuery, Amazon Redshift, Azure Synapse or Databricks on a schedule of minutes rather than hours. A team replicating MongoDB or Oracle keeps its warehouse current through CDC instead of repeated full extracts. Files landing in Amazon S3 can be converted to Parquet for a data lake. When a run fails, an email or a Slack message reaches the people who own that pipeline. Rivery suits a data team that wants the first replication, the SQL models and the reverse ETL sync back to business applications in one hosted workflow.