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features
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support

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Description

Dataddo is an enterprise-grade data integration solution engineered to mitigate the operational risks inherent in data movement. Serving as a centralized connectivity backbone, the platform provides a fully managed layer that bridges the gap between any SaaS, database, or file source and your chosen destination—including AI agents. The platform excels by automating the heavy lifting; it proactively manages API updates, schema drift, and the protection of sensitive information. This ensures granular transparency across even the most intricate data flows, whether they reside on-premise, in the cloud, or in hybrid environments. By shifting the perspective of data movement from a "one-off project" to mission-critical infrastructure, Dataddo empowers engineering teams to achieve maximum reliability and redirect their focus toward high-impact AI initiatives rather than tedious pipeline maintenance.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Brandwatch Yes 
Facebook Yes 
Google Ads Yes 
Google Analytics Yes 
Google Sheets Yes 
HubSpot Customer Platform Yes 
Jira Yes 
Klaviyo Yes 
Pipedrive Yes 
PostgreSQL Yes 
Salesforce Yes 
Salesforce Marketing Cloud Account Engagement Yes 
Shopify Yes 
Snapchat Yes 
Snowflake Yes 
Stripe Yes 
Taboola Yes 
YouTube Yes 
Zendesk Chat Yes 

Integrations

Amazon S3 Yes 
Brandwatch Yes 
Facebook Yes 
Google Ads Yes 
Google Analytics Yes 
Google Sheets Yes 
HubSpot Customer Platform Yes 
Jira Yes 
Klaviyo Yes 
Pipedrive Yes 
PostgreSQL Yes 
Salesforce Yes 
Salesforce Marketing Cloud Account Engagement Yes 
Shopify Yes 
Snapchat Yes 
Snowflake Yes 
Stripe Yes 
Taboola Yes 
YouTube Yes 
Zendesk Chat Yes 

Pricing Details

$99/source/month
Choose between our Data to Dashboard or Data Anywhere plan, starting at $99 per month, or our Enterprise plan with custom pricing.
Free Trial Yes 
Free Version Yes 

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) Yes 
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) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Dataddo

Founded

2018

Country

United States

Website

www.dataddo.com

Vendor Details

Company Name

Rivery

Founded

2017

Country

United States

Website

rivery.io

Product Features

Data Extraction

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

Data Fabric

Data Access Management No 
Data Analytics Yes 
Data Collaboration No 
Data Lineage Tools Yes 
Data Networking / Connecting No 
Metadata Functionality Yes 
No Data Redundancy No 
Persistent Data Management Yes 

Data Replication

Asynchronous Data Replication No 
Automated Data Retention No 
Continuous Replication No 
Cross-Platform Replication No 
Dashboard No 
Instant Failover No 
Orchestration No 
Remote Database Replication No 
Reporting / Analytics No 
Simulation / Testing No 
Synchronous Data Replication No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

ETL

Data Analysis No 
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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