Average Ratings 11 Ratings

Total
ease
features
design
support

Average Ratings 0 Ratings

Total
ease
features
design
support

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Description

KS DB Merge Tools is an easy to use diff & merge tool for MySQL, MariaDB, Oracle Database, SQL Server, PostgreSQL, MS Access, SQLite and Cross-DBMS databases allowing to compare and sync both schema and data. Starting with a schema changes summary, results can be narrowed down to object lists of particular object type (table definitions, views, etc.), and then down to definition of particular object. Data changes can be retrieved as a high-level list of changes totals across all tables in the database, each total row count can be observed as a side-by-side list of rows for the given table, each changed row can be analyzed for changes in each column. Various diff results provide quick filters to show only new/changed/new+changed items (schema objects or table data rows), ability to select required changed items and generate scripts to apply these changes to the other side database. This script can be executed immediately or saved for future use.

Description

Experience a new level of simplicity in managing your MySQL and compatible databases with Querious, which allows you to view, search, edit, import, export, build, configure, and monitor with remarkable ease. Designed exclusively for macOS, Querious is a robust application that embodies the essence of a native Mac experience. The Content view is loaded with user-friendly features, including a versatile multiple-condition filter, straightforward multi-row value assignment, row duplication, clipboard copying, and quick navigation to related tables via foreign keys. While many database tools offer a solid editor for table content and querying, they often fall short in accommodating additional object types. Querious excels in this area, providing comprehensive editors for all your database needs. The diverse range of editors within Querious serves not only to facilitate your tasks but also as a valuable resource for enhancing your understanding of MySQL, making it accessible and adaptable for various requirements. With each feature designed to streamline your workflow, using Querious can significantly elevate your database management experience.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

MySQL Yes 
MariaDB No 
Oracle Database Yes 
PostgreSQL Yes 
SQL Server Yes 
SQLite Yes 

Integrations

MySQL Yes 
MariaDB Yes 
Oracle Database No 
PostgreSQL No 
SQL Server No 
SQLite No 

Pricing Details

$65
The pricing is specific to the supported DBMS (e.g., MySQL, PostgreSQL, etc.). Volume discounts available.
Free Trial Yes 
Free Version Yes 

Pricing Details

$49 one-time payment
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

Training Docs Yes 
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

KS DB Merge Tools

Founded

2012

Country

Kyrgyz Republic

Website

ksdbmerge.tools

Vendor Details

Company Name

Querious

Website

www.araelium.com/querious

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration Yes 
Data Replication Yes 
Data Search No 
Data Security No 
Database Conversion Yes 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

Relational Database

ACID Compliance No 
Data Failure Recovery No 
Multi-Platform No 
Referential Integrity No 
SQL DDL Support No 
SQL DML Support No 
System Catalog No 
Unicode Support No 

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