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What is Google Cloud Data Fusion?

Open core technology enables the seamless integration of hybrid and multi-cloud ecosystems. Based on the open-source project CDAP, Data Fusion ensures that users can easily transport their data pipelines wherever needed. The broad compatibility of CDAP with both on-premises solutions and public cloud platforms allows users of Cloud Data Fusion to break down data silos and tap into valuable insights that were previously inaccessible. Furthermore, its effortless compatibility with Google’s premier big data tools significantly enhances user satisfaction. By utilizing Google Cloud, Data Fusion not only bolsters data security but also guarantees that data is instantly available for comprehensive analysis. Whether you are building a data lake with Cloud Storage and Dataproc, loading data into BigQuery for extensive warehousing, or preparing data for a relational database like Cloud Spanner, the integration capabilities of Cloud Data Fusion enable fast and effective development while supporting rapid iterations. This all-encompassing strategy ultimately empowers organizations to unlock greater potential from their data resources, fostering innovation and informed decision-making. In an increasingly data-driven world, leveraging such technologies is crucial for maintaining a competitive edge.

What is Dataddo?

Dataddo is a robust data integration platform built to eliminate the ownership risks associated with moving enterprise data. It functions as a managed connective layer, seamlessly transferring data from SaaS platforms, databases, and files to any endpoint, including modern AI agents. Key Technical Advantages: - Automated Resilience: Handles API transitions and schema drift automatically to prevent pipeline breakage. - Security & Oversight: Features built-in sensitive data protection and offers deep visibility into data flows across hybrid, cloud, and on-premise setups. - Infrastructure-First Approach: Treats data movement as essential infrastructure, not just a task. This approach allows engineering departments to deploy with absolute confidence, freeing them from the cycle of manual maintenance so they can focus on delivering high-value AI outcomes.

Media

Media

Integrations Supported

Admixer
Alteryx
Anaplan
AroFlo
Dropbox Dash
Freshdesk
Google Ad Manager
Google Sheets
Gorgias
Gusto
HubSpot Sales Hub
HubSpot Service Hub
Instagram
Looker
Loyverse POS
Outreach
PostgreSQL
Qlik Cloud Analytics
Semrush
Typeform

Integrations Supported

Admixer
Alteryx
Anaplan
AroFlo
Dropbox Dash
Freshdesk
Google Ad Manager
Google Sheets
Gorgias
Gusto
HubSpot Sales Hub
HubSpot Service Hub
Instagram
Looker
Loyverse POS
Outreach
PostgreSQL
Qlik Cloud Analytics
Semrush
Typeform

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$99/source/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Company Location

United States

Company Website

cloud.google.com/data-fusion

Company Facts

Organization Name

Dataddo

Date Founded

2018

Company Location

United States

Company Website

www.dataddo.com

Categories and Features

ETL

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

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Data Fabric

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

Data Replication

Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

ETL

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

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