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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

CData Sync is a universal database pipeline that automates continuous replication between hundreds SaaS applications & cloud-based data sources. It also supports any major data warehouse or database, whether it's on-premise or cloud. Replicate data from hundreds cloud data sources to popular databases destinations such as SQL Server and Redshift, S3, Snowflake and BigQuery. It is simple to set up replication: log in, select the data tables you wish to replicate, then select a replication period. It's done. CData Sync extracts data iteratively. It has minimal impact on operational systems. CData Sync only queries and updates data that has been updated or added since the last update. CData Sync allows for maximum flexibility in partial and full replication scenarios. It ensures that critical data is safely stored in your database of choice. Get a 30-day trial of the Sync app for free or request more information at www.cdata.com/sync

Description

Meltano offers unparalleled flexibility in how you can deploy your data solutions. Take complete ownership of your data infrastructure from start to finish. With an extensive library of over 300 connectors that have been successfully operating in production for several years, you have a wealth of options at your fingertips. You can execute workflows in separate environments, perform comprehensive end-to-end tests, and maintain version control over all your components. The open-source nature of Meltano empowers you to create the ideal data setup tailored to your needs. By defining your entire project as code, you can work collaboratively with your team with confidence. The Meltano CLI streamlines the project creation process, enabling quick setup for data replication. Specifically optimized for managing transformations, Meltano is the ideal platform for running dbt. Your entire data stack is encapsulated within your project, simplifying the production deployment process. Furthermore, you can validate any changes made in the development phase before progressing to continuous integration, and subsequently to staging, prior to final deployment in production. This structured approach ensures a smooth transition through each stage of your data pipeline.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Adobe Marketo Engage Yes 
Amazon S3 Yes 
Apache Cassandra Yes 
HubSpot CRM Yes 
HubSpot Customer Platform Yes 
Microsoft Dynamics 365 Yes 
MongoDB Yes 
NetSuite Yes 
Orchestra Yes 
QuickBooks Online Yes 
SQL Server Yes 
SQLite Yes 
Sage Intacct Yes 
Salesforce Yes 
Snowflake Yes 
Xero Yes 
Baton No 
Lever No 
Procore No 

Integrations

Adobe Marketo Engage Yes 
Amazon S3 Yes 
Apache Cassandra Yes 
HubSpot CRM Yes 
HubSpot Customer Platform Yes 
Microsoft Dynamics 365 Yes 
MongoDB Yes 
NetSuite Yes 
Orchestra Yes 
QuickBooks Online Yes 
SQL Server Yes 
SQLite Yes 
Sage Intacct Yes 
Salesforce Yes 
Snowflake Yes 
Xero Yes 
Baton Yes 
Lever Yes 
Procore Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

CData Software

Founded

2006

Country

United States

Website

www.cdata.com/sync/

Vendor Details

Company Name

Meltano

Country

United States

Website

meltano.com

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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