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What is CData Sync?

CData Sync serves as a versatile database pipeline that streamlines the process of continuous data replication across numerous SaaS applications and cloud-based sources. Additionally, it is compatible with any prominent data warehouse or database, whether located on-premise or in the cloud. You can effortlessly replicate data from a wide array of cloud sources to well-known database destinations, including SQL Server, Redshift, S3, Snowflake, and BigQuery. Setting up replication is straightforward: simply log in, choose the data tables you want to replicate, and select your desired replication frequency. Once that's done, CData Sync efficiently extracts data in an iterative manner, causing minimal disruption to operational systems. It only queries and updates data that has been modified or added since the previous update, ensuring efficiency. CData Sync provides exceptional flexibility for both partial and full replication scenarios, thus guaranteeing that your essential data remains securely stored in your preferred database. Take advantage of a 30-day free trial of the Sync app or reach out for further details at www.cdata.com/sync. With CData Sync, you can optimize your data management processes with ease and confidence.

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 EC2
Amazon RDS
Apache Cassandra
Azure Marketplace
Azure Storage
Exact
Functionize
HubSpot Customer Platform
MariaDB
NetSuite
QuickBooks Online
QuickBooks Online Advanced
SAP HANA
SAP Store
SQLite
Snowflake
SquaredUp
Xero

Integrations Supported

Amazon S3
Amazon EC2
Amazon RDS
Apache Cassandra
Azure Marketplace
Azure Storage
Exact
Functionize
HubSpot Customer Platform
MariaDB
NetSuite
QuickBooks Online
QuickBooks Online Advanced
SAP HANA
SAP Store
SQLite
Snowflake
SquaredUp
Xero

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1 per 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

CData Software

Date Founded

2006

Company Location

United States

Company Website

www.cdata.com/sync/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/datapipeline/

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

ETL

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

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