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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Open core technology facilitates the integration of hybrid and multi-cloud environments. Built on the open-source initiative CDAP, Data Fusion guarantees portability of data pipelines for its users. The extensive compatibility of CDAP with both on-premises and public cloud services enables Cloud Data Fusion users to eliminate data silos and access previously unreachable insights. Additionally, its seamless integration with Google’s top-tier big data tools enhances the user experience. By leveraging Google Cloud, Data Fusion not only streamlines data security but also ensures that data is readily available for thorough analysis. Whether you are constructing a data lake utilizing Cloud Storage and Dataproc, transferring data into BigQuery for robust data warehousing, or transforming data for placement into a relational database like Cloud Spanner, the integration capabilities of Cloud Data Fusion promote swift and efficient development while allowing for rapid iteration. This comprehensive approach ultimately empowers businesses to derive greater value from their data assets.

Description

Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud. Key Features: Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines. Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance. Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects. Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Google Cloud BigQuery Yes 
Adobe Analytics No 
Couchbase No 
Google Ads No 
Google Cloud Storage No 
Harvest No 
Innovid No 
Maxio No 
Mixpanel No 
Orchestra No 
Pantomath Yes 
Pinterest No 
PostgreSQL No 
SQL Server No 
Salesforce Marketing Cloud Account Engagement No 
ServiceNow No 
X (Twitter) No 
X Ads (Twitter Ads) No 
Zendesk No 

Integrations

Google Cloud BigQuery Yes 
Adobe Analytics Yes 
Couchbase Yes 
Google Ads Yes 
Google Cloud Storage Yes 
Harvest Yes 
Innovid Yes 
Maxio Yes 
Mixpanel Yes 
Orchestra Yes 
Pantomath No 
Pinterest Yes 
PostgreSQL Yes 
SQL Server Yes 
Salesforce Marketing Cloud Account Engagement Yes 
ServiceNow Yes 
X (Twitter) Yes 
X Ads (Twitter Ads) Yes 
Zendesk Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$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 Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Google

Country

United States

Website

cloud.google.com/data-fusion

Vendor Details

Company Name

Rivery

Founded

2017

Country

United States

Website

rivery.io

Product Features

ETL

Data Analysis Yes 
Data Filtering Yes 
Data Quality Control Yes 
Job Scheduling Yes 
Match & Merge Yes 
Metadata Management Yes 
Non-Relational Transformations No 
Version Control Yes 

Product Features

Data Extraction

Disparate Data Collection Yes 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction Yes 

Data Management

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

Data Management Platforms (DMP)

Ad Network Integration No 
Analytics / ROI Tracking Yes 
Audience Targeting No 
Behavioral Analytics No 
CRM No 
Campaign Management No 
Competitive Analysis No 
Customer Journey Mapping No 
Data Capture / Transfer Yes 
Data Classification No 
Data Visualization Yes 

Data Preparation

Collaboration Tools No 
Data Access Yes 
Data Blending Yes 
Data Cleansing Yes 
Data Governance Yes 
Data Mashup Yes 
Data Modeling Yes 
Data Transformation Yes 
Machine Learning No 
Visual User Interface Yes 

ETL

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

Integration

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

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