SQL Examiner SuiteIntelligent Database Solutions
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SQLyogWebyog
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Related Products
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About
SQL Examiner Suite 2022 includes two award-winning products in one convenient package. SQL Examiner compares and synchronizes database schemas, while SQL Data Examiner performs the same task for actual data stored in databases. Learn more about database schema and data comparison. SQL Examiner Suite is a comprehensive solution performing fully automated comparison and synchronization of any two databases complete their structures and data. Databases in a variety of formats are supported, including all versions and editions of MS SQL Server from version 7.0 to 2019, PostgreSQL, SQL Azure Database, as well as most basic structures and objects of Oracle and MySQL databases. SQL Examiner fully supports all types of database objects found in MS SQL databases, and correctly synchronizes between different versions of MS SQL.
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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
Companies of all sizes
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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
Not Supported
24/7 Live Support
Not Supported
Online
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
$300 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 InformationIntelligent Database Solutions
Founded: 2003
Russia
www.sqlaccessories.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
Not Supported
Database Conversion
Supported
Mobile Access
Not Supported
Monitoring
Not Supported
NOSQL
Not Supported
Performance Analysis
Not Supported
Queries
Not Supported
Relational Interface
Not Supported
Virtualization
Not Supported
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Integrations
Amazon Athena
Not Supported
Amazon RDS
Not Supported
Amazon Redshift
Not Supported
Apache Hive
Not Supported
Google Cloud BigQuery
Not Supported
Google Cloud Platform
Not Supported
Greenplum
Not Supported
IBM Cloud
Not Supported
IBM Db2
Not Supported
MariaDB
Not Supported
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Integrations
Amazon Athena
Supported
Amazon RDS
Supported
Amazon Redshift
Supported
Apache Hive
Supported
Google Cloud BigQuery
Supported
Google Cloud Platform
Supported
Greenplum
Supported
IBM Cloud
Supported
IBM Db2
Supported
MariaDB
Supported
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