Overview
What is Rivery.io?
Rivery is a data integration platform that aggregates and transforms all a company's internal and external data sources in a single cloud-based solution. It can automate every ELT process for cloud data warehouses, including Redshift, BigQuery, Azure, or Snowflake. As a flexible…
Pricing
Annual Base Package
$10-50K
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
Rivery & Jutomate: Python Meetup (Live Demo Webinar)
Getting Started with Python for Rivery (Live Demo Webinar)
Deep Dive: Python For Rivery (Live Demo Webinar)
Product Details
- About
- Integrations
- Competitors
- Tech Details
What is Rivery.io?
Fully-managed SaaS product
No install, no maintenance
Auto-scaling
Highly available
API on-demand program
One-time cost
7-21 days to develop
Support on future API upgrades
Consumption-based pricing model
Pay only for what you use
No cost per data source
No cost per user
Mature and highly customizable transformation layer
Orchestrate your entire workflow with a user-friendly interface to build dependencies
Extend the power of your cloud data warehouse with in-database transformations
Dynamic variables, looping mechanisms, conditional logic steps
Simple and easy
80+ built-in API connections
REST API templates to make custom data pulls
On-premise database migration to the cloud in a few clicks!
Rivery.io Features
- Supported: AWS PrivateLink Support
- Supported: SSH Tunnel
- Supported: Webhooks/Events
- Supported: DataOps Management
- Supported: Data Ingestion
- Supported: Data Orchestration
- Supported: Data Transformation
Rivery.io Integrations
Rivery.io Competitors
Rivery.io Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Supported Countries | Worldwide |
Supported Languages | English |
Comparisons
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Reviews
Community Insights
- Business Problems Solved
- Recommendations
Rivery has been widely praised for its effectiveness in integrating with upstream sources, saving users a significant amount of time and effort. Users have found the software to be convenient and efficient when importing large amounts of information into the cloud, making it particularly useful for one-off data processing tasks. One of the standout features of Rivery is its ability to simplify the process of integrating data from various sources, offering powerful data transformation capabilities for efficient data cleaning and preparation. This flexibility allows users to quickly and easily create a variety of ETL pipelines without the need for extensive coding or developer assistance.
Another key benefit of Rivery is its ability to help users organize multiple ETLs by grouping and scheduling them, ensuring smooth and efficient data integration processes. Users appreciate how Rivery saves them time when importing data into different systems, eliminating the need to write complex code for connecting, transforming, and maintaining processes. By automating data extraction and manipulation, Rivery enables users to focus on developing better data products and improving their overall data-driven strategy.
Furthermore, users have reported positive experiences with Rivery's performance capabilities. The software offers fast data extraction, efficient debugging, and alerts when something goes wrong, leading to significant time savings. Users have successfully used Rivery to connect various tools and platforms such as Google Forms and Google Sheets for collecting and storing survey feedback. Additionally, Rivery facilitates integrations with databases that were previously inaccessible at a much faster pace.
Overall, Rivery has proven to be a valuable tool for modern data systems, solving challenges in data engineering and bringing data to value for downstream use cases. With its user-friendly interface and powerful integration capabilities, Rivery enables users without previous experience in coding or ETL processes to develop and maintain connections, automate data ingestion from multiple sources, and optimize their costs.
Users frequently recommend relying on Rivery as a robust solution for constructing data infrastructure and executing ELT processes in business environments. They suggest seeking assistance from the support team when encountering unique use cases. Users strongly advise experimenting with Rivery before exploring alternative options, particularly if utilizing Snowflake. Moreover, they commend Rivery for its accelerated, user-friendly, and intuitive ETL process. They recommend taking advantage of the free trial period to evaluate whether Rivery adequately addresses data integration challenges.