dbForge Schema Compare for Redshift/PostgreSQL vs Galera Cluster
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It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error. | It is a tool for easy and effective comparison and deployment of Redshift database structure differences. The tool allows comparing two PostgreSQL database schemas, gives a comprehensive view of all differences in Amazon Redshift database schemas, and generates clear and accurate SQL synchronization scripts to update the database schemas. |
True Multi-master Read and write to any node at any time;
Synchronous Replication No slave lag, no data is lost at node crash;
Tightly Coupled All nodes hold the same state;
Multi-threaded Slave For better performance. | Diff and sync Redshift and PostgreSQL databases quickly and efficiently;
Generate SQL scripts to update one database with the contents of another;
Apply updates from development databases to staging or production;
Sync tables between PostgreSQL and Redshift databases;
Compare the structure of Amazon Redshift databases and fix the errors;
Migrate PostgreSQL schemas to Amazon Redshift;
Automate routine synchronization tasks with command-line interface |
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Integrations | |
What are some alternatives to Galera Cluster, dbForge Schema Compare for Redshift/PostgreSQL?
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.
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.
dbForge Studio for MySQL
It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Memcached
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
MariaDB
Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
dbForge Studio for Oracle
It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.
