What is dbForge Data Compare for MySQL?
It is designed for comparing and synchronizing data in MySQL, Percona, and MariaDB databases and scripts folders. The tool gives a clear picture of differences between data and provides means for analyzing comparison results, generating synchronization script, and applying changes at one stroke. You can also schedule regular MySQL data comparison using the command line.
dbForge Data Compare for MySQL is a tool in the Database Tools category of a tech stack.
Who uses dbForge Data Compare for MySQL?
Companies
Developers
5 developers on StackShare have stated that they use dbForge Data Compare for MySQL.
dbForge Data Compare for MySQL's Features
- Save time when comparing and synchronizing MySQL and MariaDB Data
- Generate SQL scripts to update one database with content from another
- Copy lookup data from development databases to staging or production
- Keep an accurate history of all previous database records
- Fix problems by restoring missing or damaged data to a single row
- Automate synchronization tasks using the command-line interface
- Deploy to Percona, Oracle MySQL Cloud, Amazon RDS, and Alibaba Cloud
dbForge Data Compare for MySQL Alternatives & Comparisons
What are some alternatives to dbForge Data Compare for MySQL?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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