Prebuilt connectors
Pull data from SaaS apps, databases, and ad platforms.
Extract, load, and transform data from many sources into cloud warehouses with managed pipelines.
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.
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.”
Roy L.
Product Manager and Team Leader
“Liked the flat learning curve, SQL-only transformations, REST API actions, and responsive support. Found drag-and-drop arrangement frustrating in complex workflows.”
Ilana S.
Project Manager
“Liked the intuitive design, the large number of connectors, and a fully managed service that scales. Noted no major drawbacks.”
Sivan P.
Project Manager
“Liked the ease of use, orchestration, easy source integration, and fast support. Found that the product changes rapidly with new features most months.”
Verified Reviewer
Vice-President, North America
“Liked the cost-effective marketing data connectivity that complements Google BigQuery and Snowflake in the data stack. Noted no major drawbacks.”
Verified Reviewer
Chief Analyst / Chief of Revenues
“Liked the ease of use and the excellent support from the team. Found some connection settings hard to configure at times.”
Verified Reviewer
Senior Data Analyst
“Liked integrating disparate sources, with scheduling and a transformation layer organizing complex workflows. Found some documentation incomplete, though support filled gaps.”
Or N.
BI Developer
“Liked that the platform is easy to use, flexible, and capable for data work, along with great support from the team. Noted no major drawbacks.”
Verified Reviewer
Senior Business Intelligence Consultant
“Liked the intuitive, flexible, and quick platform used on a World Cup project. Found no alerts when social media APIs release new versions.”
Automated data replication
Large connector library with managed syncing
Open-source ELT
Self-hosted or cloud with many connectors
Warehouse-native ETL
Visual transformations built for cloud warehouses
No-code data pipelines
Real-time pipelines with simple setup