Rivery

By Rivery

Extract, load, and transform data from many sources into cloud warehouses with managed pipelines.

ELT PlatformData PipelinesData IntegrationReverse ETL
Overview

What is Rivery?

Rivery is a cloud ELT and data pipeline platform that extracts data from SaaS apps, databases, and APIs and loads it into cloud warehouses such as Snowflake, BigQuery, Redshift, and Azure. It offers prebuilt connectors, custom REST API connections, SQL and Python transformations, orchestration, scheduling, and monitoring. BI developers, data analysts, and data engineering teams use Rivery to centralize marketing, sales, and product data for reporting and analytics.

Best for
Data EngineersBI DevelopersData AnalystsAnalytics TeamsMarketing Analysts
Product snapshot
Category
Data Extraction & Collection
Best for
Managed ELT pipelines
Deployment
Cloud
Free trial
Yes
Integrations
Snowflake, BigQuery, Redshift, Salesforce
AI features
No
Key features

Key features of Rivery

Prebuilt connectors

Pull data from SaaS apps, databases, and ad platforms.

Custom API connections

Connect to any REST API when no native connector exists.

SQL transformations

Transform data inside the warehouse with SQL or Python steps.

Workflow orchestration

Chain extraction, transformation, and loading steps with dependencies.

Scheduling and monitoring

Run pipelines on schedules and track failures and run history.

Reverse ETL

Push modeled warehouse data back into business applications.

Reviews

Rivery reviews

12 reviews

Overall

5.0/5

  • Ease of use5/5
  • Customer support5/5

What users like

  • Intuitive and easy to configure
  • Connects to almost any source
  • Fast and responsive support team
  • Only SQL needed for transformations

What users dislike

  • Price has risen over time
  • Some documentation is incomplete
  • Complex workflows harder to arrange
  • Some connections tricky to configure

Dima K.

BI Developer

“Liked the intuitive interface that is easy to configure, along with professional and quick responses from the support team. Noted no major drawbacks.”

Dor R.

Head of Data

“Liked connecting to nearly any source through built-in connectors or REST APIs and handling complex multi-step transformations. Found that user roles were missing at the time.”

Dan G.

Data Analyst

“Liked the modern, fast tool, good performance, quick bug fixes, frequent new features, and support. Found few direct connectors and a price that has risen.”

Tal C.

Head of Information Systems

“Liked the growing connector list, ease of use, and flexibility. Found that a separate development environment was not available yet.”

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Alternatives

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Integrations

Rivery integrations

Rivery connects a wide range of sources and destinations for analytics. Destinations include Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse, and Databricks, where data lands ready for modeling. Source connectors cover marketing platforms such as Google Ads, Facebook Ads, and Google Analytics, CRM and support tools such as Salesforce, HubSpot, and Jira, ecommerce platforms such as Shopify, and databases including PostgreSQL, MySQL, and SQL Server. When a native connector is missing, teams build custom connections to any REST API. Pipelines can send Slack and email alerts, and reverse ETL pushes modeled data back into business applications for operational use by sales and marketing teams.

FAQ

Frequently asked questions about Rivery