PostgreSQL Client for Sync Database
to Redshift and others
When you deal with PostgreSQL databases regularly in the scope of your day-to-day working routine, one way or another you will need
to clone or synchronize one or more databases at the same time. Devart has come up with a convenient solution exactly for
this purpose - dbForge Studio for PostgreSQL. This IDE has broad compatibility options
and offers a vast set of convenient features: query profiler, data import and export,
data reports, as well as data and schema compare features that allow you to:
- Save time comparing and synchronizing PostgreSQL database data and schemas
- Apply updates from development databases to staging or production
- Sync tables between PostgreSQL and Redshift databases
- Compare PostgreSQL database data and deploy it to Azure Database
- Fix problems by restoring missing or damaged data to a single row
- Automate routine synchronization tasks via the command-line interface
Comparing PostgreSQL Schemas
The Schema Compare feature allows for easy and effective comparison and synchronization of Amazon Redshift and PostgreSQL database structure differences.
It helps compare database schemas, gives comprehensive information on all differences, and generates clear and accurate SQL synchronization scripts
to deploy database changes.
Comparing PostgreSQL Data
The Data Comparison feature helps you quickly and accurately compare and deploy PostgreSQL tables data whether you're moving data from test to
production or the other way around. dbForge Studio provides an excellent opportunity to compare PostgreSQL database data and then deploy changes to
Amazon Redshift or Azure Database.
Setting Up Comparison and Synchronization Processes
Both Data and Schema Comparison tools offer a convenient intuitive interface that allows you to compare and synchronize data and schemas in just a few clicks.
To get started, click Database and select either New Data Comparison or New Schema Comparison depending on what exactly you are currently
working with.
Data Comparison Wizard
In the Data Comparison Wizard that opens, you will be able to select the connections that contain databases you are willing to compare, as well as
configure the comparison options and mapping.
Schema Comparison Wizard
When it comes to schema comparison, you can select the connections with the corresponding databases for the comparison and simply click Compare. dbForge Studio
for PostgreSQL will do the rest for you.
Explore Differences Between Two Databases
The Data Comparison document provides a clear display of the comparison results, where you can:
- View data differences for each pair of objects
- Filter and sort objects in the results grid
- Perform full-text data search
- See the number of changes per column
- Hide unmodified columns to simplify the analysis
Schema Compare allows you to manage and analyze the comparison results in the following ways:
- Filter, group, and sort objects in the results grid
- View columns and constraints in alphabetical order
- View the compared text in a separate window
- View white spaces, line numbers, and hex
- Configure script options
- Deploy individual objects, a selection of objects, or all of them
- Preview the schema update deployment script for each object
Load Data from PostgreSQL to Redshift and Others
The IDE allows synchronization with the following services:
- PostgreSQL Databases
- Azure PostgreSQL
- Amazon RDS for PostgreSQL
- Amazon Redshift
Command-line Comparison Automation
With dbForge Studio for PostgreSQL functionality, you can automate data & schema comparison and synchronization processes according to your needs:
- Save the comparison project settings for future use
- Use Command Prompt or PowerShell for automatic routine synchronizations
- Save comparison and sync settings as a command-line execution file (.bat) and run it whenever you need
- Set the .bat file automatic execution on with Windows Scheduler
Data Compare
Schema Compare
Key Features of RedShift
PostgreSQL has been around since 1996, it is a data warehouse that many are familiar with. However, Amazon Redshift has gained a lot of traction since
its release in 2012 being the first cloud data warehouse. Even though Redshift was built on Postgres 8.0.2, they're not the same thing. There are five
key features that characterize Redshift:
- Columnar database
- Paid service
- Best for analytics, not processing transactional data
- Operates on a cluster
- Constraints and indexes are implemented differently than in PostgreSQL
Comparison Table of PostgreSQL vs RedShift
In order for you to get a visual understanding of the difference between one and the other, we have created a comparative table of PostgreSQL vs RedShift: