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What is Rivery?

Rivery's ETL platform streamlines the consolidation, transformation, and management of all internal and external data sources within the cloud for businesses. Notable Features: Pre-built Data Models: Rivery offers a comprehensive collection of pre-configured data models that empower data teams to rapidly establish effective data pipelines. Fully Managed: This platform operates without the need for coding, is auto-scalable, and is designed to be user-friendly, freeing up teams to concentrate on essential tasks instead of backend upkeep. Multiple Environments: Rivery provides the capability for teams to build and replicate tailored environments suited for individual teams or specific projects. Reverse ETL: This feature facilitates the automatic transfer of data from cloud warehouses to various business applications, marketing platforms, customer data platforms, and more, enhancing operational efficiency. Additionally, Rivery's innovative solutions help organizations harness their data more effectively, driving informed decision-making across all departments.

What is Omnata?

Modern data warehouses have reached unprecedented levels of sophistication, yet the techniques for data integration remain outdated. These legacy middleware systems create substantial challenges for organizations striving for operational agility. By implementing SQL functions within Snowflake, companies can seamlessly transmit data to their applications. Furthermore, it's vital to manage integration in conjunction with other processes within the data pipeline. Reducing the reliance on complex data infrastructures can mitigate security risks and lessen the demands for vendor assurances. The presence of convoluted middleware and ETL frameworks often leads to delays in deployment. It is crucial to preserve agility while also simplifying code complexity. Tackling the challenges associated with consolidating customer data is essential for creating a dependable single source of truth. Recent innovations provide remarkable connectivity and flexibility. Integrations can now function without intermediary systems between the data source and its endpoint. Instead of merely transferring data, Connect leverages live queries to deliver real-time information directly within the destination application, ensuring that users consistently access the latest data. This approach not only improves efficiency but also enhances the overall user experience by providing immediate insights.

Media

Media

Integrations Supported

Google Cloud BigQuery
Salesforce
Snowflake
Zendesk
AdRoll
Firebolt
Google Analytics
JW Player
Jira
Jira Work Management
Kochava
Magnetic
Mailchimp
Meta Audience Network
Pipedrive
Recurly
Redis
SendGrid
SurveyMonkey

Integrations Supported

Google Cloud BigQuery
Salesforce
Snowflake
Zendesk

API Availability

Has API

API Availability

Pricing Information

$0.75 Per Credit
Rivery has pricing plans ranging from self service to enterprise. All plans include unlimited data sources, unlimited destinations, transformations, and full workflow orchestration features. Rivery’s usage-based pricing is based on pipeline executions, not number of rows or compute hours. Enjoy simple, flexible plans that scale as your business grows.
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Rivery

Date Founded

2017

Company Location

United States

Company Website

rivery.io

Company Facts

Organization Name

Omnata

Company Location

Australia

Company Website

omnata.com

Categories and Features

Data Extraction

Disparate Data Collection
Web Data Extraction

Data Integration

Not specified

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Management Platforms (DMP)

Analytics / ROI Tracking
Data Capture / Transfer
Data Visualization

Data Pipeline

Not specified

Data Preparation

Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Visual User Interface

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Reverse ETL

Not specified

Categories and Features

Integration

Not specified

Reverse ETL

Not specified

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