Connect, process and analyze data automatically. to drive your business with insights through BI Automation

Eliminate a lot of data problems but spread throughout the organization cannot be analyzed By extracting data from those scattered sources and storing it in a data warehouse that is ready to process large amounts of data in seconds. Make the most of the information you have with BI automation so you can see everything. Every dimension of your organization is data

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Build your own data pipeline from any source to the target database with just a few clicks.

No need to write code Use just a click to create a fetch command.

Compatible with more than 200 Data Sources

Compatible with many destinations such as SQL Server, Redshift, S3, Snowflake, various databases or data warehousing storage.

How to use CData Sync

Data Sources

Examples of data sources that can be used together Connect tools across multiple categories such as BI, Analytics, ETL Tools, SaaS, NoSQL or Big Data applications.

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SQL Server

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Snowflake

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Amazon S3

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Amazon Redshift

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Kintone

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Marketo

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Google BigQuery

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Microsoft Dynamics CRM

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Salesforce & Force.com

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MySQL

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SAP Business One

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PostgreSQL

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Google Analytics

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Azure SQL

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Google Sheets

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Facebook

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Oracle

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Slack

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Twitter

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MongoDB

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Apache Hadoop

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Apache Kafka

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Sap HANA

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Instagram

200+ Datasources

Connect your Amazon Redshift data warehouse in real time to BI and analytics apps, Machine learning tool, Database, etc.

Amazon Redshift uses SQL to analyze structured and semi-structured data in its data warehouse. Run complex queries quickly, easily and securely and connect to operating databases. or raw storage using hardware and machine learning designed by AWS.

What is Amazon Redshift ?
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Sync to Datasources

Compatible with more than 200 existing applications or data sources, and manage data more easily.

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ETL & Replication

Reduce the complexity of ETL & Data Replication to RDBMS or Data Warehouse.

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Software Development

Connect redshift with other tools to easily develop applications, reducing the burden of API integration.

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Data Virtualization

Integration with Data Virtualization Technology such as QuickSight, Power BI, Tableu seamlessly.


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