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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.

What is AWS Data Pipeline?

AWS Data Pipeline is a cloud service designed to facilitate the dependable transfer and processing of data between various AWS computing and storage platforms, as well as on-premises data sources, following established schedules. By leveraging AWS Data Pipeline, users gain consistent access to their stored information, enabling them to conduct extensive transformations and processing while effortlessly transferring results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. This service greatly simplifies the setup of complex data processing tasks that are resilient, repeatable, and highly dependable. Users benefit from the assurance that they do not have to worry about managing resource availability, inter-task dependencies, transient failures, or timeouts, nor do they need to implement a system for failure notifications. Additionally, AWS Data Pipeline allows users to efficiently transfer and process data that was previously locked away in on-premises data silos, which significantly boosts overall data accessibility and utility. By enhancing the workflow, this service not only makes data handling more efficient but also encourages better decision-making through improved data visibility. The result is a more streamlined and effective approach to managing data in the cloud.

Media

Media

Integrations Supported

Amazon S3
Amazon Web Services (AWS)
AroFlo
Azure Synapse Analytics
BrandBastion
CloudTalk
HubSpot Sales Hub
NetSuite
Podio
SQL Server
Salesforce
Semrush
Shopify POS
Socialbakers
Spotify
Sprout Social
Taboola
TikTok
WooCommerce

Integrations Supported

Amazon S3
EC2 Spot

API Availability

Has API

API Availability

Has API

Pricing Information

$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 Version
Free Trial Offered?

Pricing Information

$1 per month
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Dataddo

Date Founded

2018

Company Location

United States

Company Website

www.dataddo.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/datapipeline/

Categories and Features

Data Extraction

Not specified

Data Fabric

Data Analytics
Data Lineage Tools
Metadata Functionality
Persistent Data Management

Data Integration

Not specified

Data Pipeline

Not specified

Data Replication

Not specified

Data Visualization

Not specified

ETL

Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Version Control

Reverse ETL

Not specified

Categories and Features

Data Pipeline

Not specified

ETL

Not specified

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