Data LoaderInterface Computers
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SQLyogWebyog
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Related Products
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About
Data Loader is a simple, yet powerful tool capable of Synchronizing, exporting and importing data between many common database formats. If you wish to convert MS SQL Server, CSV or MS Access to MySQL, this is the best tool to satisfy your specific needs effectively. The latest Data Loader Version supports MySQL, Oracle, MS Access, Excel, FoxPro, DBF, MS SQL Server, CSV and Delimited or Flat Files. You can now easily convert Oracle to MySQL or MS SQL Server using this tool equipped with several unique and advanced features. For example, while transferring, you can filter columns and specify WHERE conditions. Similarly, Data Loader supports full mapping of source columns to target table columns. Other notable features include bulk inserts, built-in scheduler, UPSERT and INSERT, folder polling, command-line interface, etc.
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About
A Powerful MySQL Development and Administration Solution. SQLyog Ultimate enables database developers, administrators, and architects to visually compare, optimize, and document schemas. SQLyog Ultimate includes a power tool to automate and schedule the synchronization of data between two MySQL hosts. Create the job definition file using the interactive wizard. The tool does not require any installation on the MySQL hosts. You can use any host to run the tool. SQLyog Ultimate includes a power tool to interactively synchronize data. Run the tool in attended mode to compare data from source and target before taking action. Using the intuitive display, compare data on source and target for every row to decide whether it should be synchronized in which direction. SQLyog Ultimate includes a power tool to interactively compare and synchronize schema. View the differences between tables, indexes, columns, and routines of two databases.
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
IT teams looking for a Data Management platform
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Audience
Database developers, administrators, and architects who want a database management solution to visually compare, optimize, and document schemas and data
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Not Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$99 one-time payment
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationInterface Computers
Founded: 2005
India
www.dbload.com
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Company InformationWebyog
United States
webyog.com/product/sqlyog/
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Categories |
Categories |
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Database Features
Backup and Recovery
Not Supported
Creation / Development
Not Supported
Data Migration
Not Supported
Data Replication
Supported
Data Search
Not Supported
Data Security
Supported
Database Conversion
Supported
Mobile Access
Supported
Monitoring
Not Supported
NOSQL
Supported
Performance Analysis
Not Supported
Queries
Not Supported
Relational Interface
Supported
Virtualization
Not Supported
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Integrations
Amazon Athena
Not Supported
Amazon RDS
Not Supported
Amazon Redshift
Not Supported
Apache Cassandra
Not Supported
Apache Hive
Not Supported
C++Builder
Not Supported
Google Cloud BigQuery
Not Supported
Google Cloud Platform
Not Supported
IBM Db2
Not Supported
IBM Informix
Not Supported
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Integrations
Amazon Athena
Supported
Amazon RDS
Supported
Amazon Redshift
Supported
Apache Cassandra
Supported
Apache Hive
Supported
C++Builder
Supported
Google Cloud BigQuery
Supported
Google Cloud Platform
Supported
IBM Db2
Supported
IBM Informix
Supported
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