# Rivery **Source:** https://geo.sig.ai/brands/rivery **Vertical:** Modern Data Stack & Analytics Engineering **Subcategory:** Data Pipeline & Orchestration **Tier:** Challenger **Website:** rivery.io **Last Updated:** 2026-04-14 ## Summary Tel Aviv and NYC data pipeline platform raised $50M+ from Salesforce Ventures; unified ELT, reverse ETL, and workflow orchestration for cloud data warehouses with 200+ source integrations. ## Company Overview Rivery is a data pipeline and orchestration platform founded in 2018 and headquartered in Tel Aviv, Israel, with offices in New York City. The company was founded by Itamar Ben Hemo and Or Lenchner to build a unified data operations platform that covers data ingestion, transformation, reverse ETL (data activation), and workflow orchestration in a single environment. Rather than requiring data teams to stitch together separate tools for each stage of the data lifecycle, Rivery provides an integrated platform where all data workflows — from source connection to downstream activation — are managed and monitored in one place.\n\nRivery raised $50 million in funding from investors including Salesforce Ventures, YL Ventures, and Entrée Capital. The platform supports ingestion from more than 200 sources, in-pipeline transformations, and native reverse ETL to sync data from warehouses back into operational tools like Salesforce, HubSpot, and customer data platforms. Its orchestration engine allows teams to build dependency graphs across pipelines, trigger workflows based on events or schedules, and monitor data flow health through a unified dashboard. Rivery's integrated approach reduces the operational overhead of managing multiple single-function tools that each require separate infrastructure, monitoring, and maintenance.\n\nRivery serves data teams at mid-market and enterprise companies across e-commerce, fintech, and media who need a flexible, cloud-native data operations platform without the deployment complexity of open-source tools. The platform runs fully managed in the cloud with Rivery handling all infrastructure, scaling, and maintenance. Its visual pipeline builder makes it accessible to data analysts and business intelligence developers without deep engineering backgrounds. ## Frequently Asked Questions ### What makes Rivery different from a standalone ELT tool? Rivery provides a unified data operations platform that covers ELT ingestion, in-pipeline and warehouse transformation, reverse ETL for data activation into operational tools, and workflow orchestration — all in one managed environment. This integration eliminates the need to run and maintain separate tools for each function, reducing operational complexity and giving teams a single place to manage and monitor the full data lifecycle. ### What is reverse ETL and how does Rivery support it? Reverse ETL is the process of syncing data from a data warehouse back into operational business applications like CRMs, marketing platforms, and customer success tools — making warehouse-computed metrics and segments actionable in the tools where business teams work. Rivery's reverse ETL capabilities let data teams define which warehouse tables or query results should sync to which destinations and at what frequency, without writing custom export scripts. ### How does Rivery handle pipeline orchestration? Rivery's orchestration engine allows teams to define dependency graphs between pipelines, ensuring that downstream transformations only run after their upstream data sources have refreshed. Pipelines can be triggered on schedules, by data arrival events, via API webhooks, or by the completion of other pipeline runs. A unified monitoring dashboard shows the status, run history, and data freshness of all pipelines across the full data stack. ### What is Rivery and what does it offer data teams? Rivery is a data pipeline and orchestration platform that combines data ingestion from 200+ sources, data transformation via SQL or dbt, and pipeline orchestration in a single SaaS product, providing data teams with an end-to-end solution without assembling separate ingestion, transformation, and scheduling tools. ### How does Rivery support dbt within its platform? Rivery has native dbt integration that allows data teams to run dbt models and tests as part of Rivery's orchestrated pipeline workflow, connecting dbt transformation runs to upstream data ingestion jobs and downstream notification and alerting in a unified orchestration layer. ### What data sources does Rivery support for ingestion? Rivery supports 200+ pre-built connectors to SaaS applications, relational and NoSQL databases, cloud storage, APIs, and event streams, with a reverse ETL capability to push data back from the warehouse to operational systems for activation use cases. ### What is Rivery's Rivers concept? Rivers are Rivery's fundamental pipeline unit — configurable workflows that define a data ingestion, transformation, or orchestration task. Rivers can be connected into larger pipeline flows, scheduled independently, and monitored through Rivery's platform dashboard. ### Who uses Rivery? Rivery is used by mid-market data teams, analytics engineers, and data platform teams that want a comprehensive pipeline and orchestration solution without the engineering overhead of maintaining separate open-source tools, particularly teams that value having ingestion, transformation, and scheduling in a single managed platform. ## Tags data-warehouse, analytics, saas, b2b, platform, cloud-native, api-first, automation, scaleup --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*