PostgreSQL Data Sync and Compare Diffs Tool

dbForge Data Compare for PostgreSQL is a GUI tool for table data comparison and synchronization. It helps to custom-tailor the detection of data differences between two PostgreSQL tables, establish smart management of inconsistencies, and ensure safe deployment of changes. This PostgreSQL diff tool also generates data synchronization scripts with multiple options to keep your PostgreSQL data in sync.

  • Save time comparing and synchronizing PostgreSQL database data
  • Generate SQL scripts to update one database with the contents of another
  • Copy lookup data from development databases to staging or production
  • Maintain an accurate history of PostgreSQL database records
  • Restore missing or damaged data down to individual rows
  • Automate synchronization tasks via the command-line interface
  • Deploy to PostgreSQL, Supabase, Heroku, TimescaleDB, Amazon Redshift and many more

Key features

  • Data comparison

Integrated AI Assistant

  • Context-aware query generation
  • Conversion of natural language to SQL
  • Query optimization
  • SQL explanations
  • SQL troubleshooting
  • Error analysis and clarifications
  • AI chat
  • Web search
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Data comparison

  • Full or partial comparisons of PostgreSQL databases
  • Difference grouping by object type or origin (Source/Target)
  • Comparison results displayed in a convenient UI
  • Comparison of table data with query results
  • Filtering of rows with a WHERE clause expression
  • Customizable comparison options
  • Automatic object mapping (tables, views, columns, schemas)
  • Custom mapping for tables with different names and structures
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Data synchronization

  • Selection of data to synchronize directly in the comparison grid
  • Customizable synchronization options
  • Auto-generation of synchronization scripts in a split second
  • Execution of generated scripts to deploy changes immediately
  • Rollback of synchronization changes in case of errors
  • Saving scripts to files for later synchronization
  • Output options to manage the synchronization script
  • Pre- and post-synchronization scripts
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Reports and scripts

  • Comparison report generation in CSV, Excel, and HTML formats
  • Selection of data sets to be included in reports
  • Presentation of comparison results in a clear, shareable format
  • Instant report preview
  • Auto-generation of customizable synchronization scripts to fix inconsistencies
  • Direct script execution for change deployment
  • Saving scripts to files for deferred synchronization
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Automation

  • Saving comparison projects for future reuse
  • Export of comparison settings to a command-line arguments file
  • Command-line interface for automated routine synchronization
  • Creation of a .bat execution file for Command Prompt or PowerShell
  • Scheduling data comparisons via Windows Task Scheduler
  • Specification of additional scripts to be run before or after synchronization
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Compatibility

The tool supports popular cloud databases and PostgreSQL-compatible services, including the following:

  • All actively supported PostgreSQL server versions
  • Supabase, Heroku, AWS, Google Cloud, Azure, IBM, Alibaba, Aiven, and many more
  • PostgreSQL on Windows, Linux (Ubuntu, Debian, Fedora, RHEL), and macOS

In addition, dbForge Data Compare for PostgreSQL is compatible with StrongDM.

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Get Data Compare as a standalone product
or as part of dbForge Studio for PostgreSQL

dbForge Data Compare

Starts from

$74.95
per year
Try the tool

Key features:

  • Smart data comparison
  • Customizable comparison options
  • Comparison reports
  • Full/partial data sync
  • Sync script generation
  • Command-line automation
  • Support for PostgreSQL from 8.4 up to 18
  • Support for Supabase, Heroku, TimescaleDB, Amazon Redshift, and many more
Most popular

dbForge Studio for PostgreSQL

Starts from

$89.95
per year
Try the comprehensive IDE

Key features:

  • Advanced PostgreSQL formatter
  • Integrated AI Assistant
  • Context-aware code completion
  • Visual data editor
  • Visual object editor
  • Query Profiler (execution plan)
  • SQL query history
  • Visual Query Builder
  • Data export and import
  • Data comparison and sync
  • Schema comparison and sync
  • Data Generator
  • CLI automation
  • Pivot tables
  • Master-Detail Browser
  • Data reports
Leading companies choose dbForge Data Compare
SP&Global
Thermo Fisher Scientific
Goodyear
Marriott International
SALESFORCE.COM, INC.
BlackRock Financial Management, Inc.
Halliburton
Leading companies choose dbForge Data Compare
SP&Global Thermo Fisher Scientific Goodyear Marriott International SALESFORCE.COM, INC. BlackRock Financial Management, Inc. Halliburton

Success stories from our customers

"At the moment, this is the best tool available in the market. I like how quickly it finds differences between two separate PostgreSQL databases. dbForge is easy to install, easy to sort out, and easy to use. And, yeah, with the command line interface I can also schedule and automate my database data comparison, which greatly saves time."

Alexey S.

Director

Small-Business (50 or fewer emp.)

"The soft works fast even with numerous tabs open provides partial or full table data sync when it is necessary convenient comparison reports in HTML and Excel has a command-line dialogue box (it’s very suitable to run earlier created .bat file instead of configuring all the parameters again) large scripts execution without opening the whole script in the SQL editor it is easy to sort, filter and group data in a grid."

Verified User

in Information Technology and Services

Small-Business (50 or fewer emp.)

"An array of features that makes data manipulation like a piece of cake. Beginners can easily learn, understand and use. Also the support for the vendor is very reliable."

Verified User

in Computer Software

Mid-Market (51-1000 emp.)

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We offer flexible purchasing options to meet your budget. Also, if you need multiple licenses, you will get a bulk discount.

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Frequently asked questions

What servers are supported?
  • PostgreSQL 18
  • PostgreSQL 17
  • PostgreSQL 16
  • PostgreSQL 15
  • PostgreSQL 14
  • PostgreSQL 13
  • PostgreSQL 12
  • PostgreSQL 11
  • PostgreSQL 10
  • PostgreSQL 9
  • PostgreSQL 8.4
  • Greenplum DB
  • Fujitsu Enterprise Postgres
  • Supabase
  • Google Cloud
  • Amazon Redshift
  • Amazon RDS
  • Alibaba Cloud
  • Heroku
  • TimescaleDB
  • Amazon Aurora
  • Azure Database for PostgreSQL
  • AlloyDB
  • Neon.tech
  • YugabyteDB
  • Cloud Native PostgreSQL
  • PolarDB
  • AnalyticDB
  • Citus Data
  • Aiven Cloud
  • Bit.io
  • Azure Cosmos DB for PostgreSQL Cluster
  • DigitalOcean's Managed Databases
  • EDB BigAnimal
  • IBM Cloud for PostgreSQL
  • Babelfish for Aurora PostgreSQL
  • ApsaraDB RDS
What can be compared and synchronized?
  • Tables
  • Views
  • Custom queries
How can data comparison be set up?

dbForge Data Compare allows you to customize data comparisons by enabling a range of useful options:

  • Include tables or views in the comparison by mask or individually
  • Exclude objects from comparison by mask or individually
  • Ignore columns by mask (e.g., don't compare the ModifiedDate column in all tables)
  • Round float data types
  • Ignore case and trailing spaces for string comparison
  • Ignore LOB columns in the comparison
  • Apply the WHERE filter for limiting data that needs to be compared (e.g., in extra-large tables)
  • ...and many other options
How can I compare two PostgreSQL databases for data differences?

To compare two PostgreSQL databases using dbForge Data Compare, select the source and target databases, set up the comparison options as necessary, and run the comparison. The tool lists the identified data differences, if any, and allows you to synchronize data if any PostgreSQL database diffs are found.

Which data differences does the PostgreSQL diff tool identify?

dbForge Data Compare for PostgreSQL performs a complete scan of both databases and returns differences in the following objects:

  • Table rows (extra or missing rows)
  • Table values
  • Views
  • Mapped table columns
How can I compare PostgreSQL table data in two databases with different structures?

To compare two tables from different PostgreSQL databases, use the mapping feature that allows you to compare tables with different names and column sets. Map one table in the source to two or more tables in the target (this may be useful when a table was split).

How can I analyze comparison results?

dbForge Data Compare provides a number of options that help you analyze the results of data comparisons:

  • Filter and sort objects in the results
  • View data differences for each pair of objects
  • Quickly navigate through data differences
  • Perform a full-text search in data
  • View the number of changes per column
  • Hide unmodified columns and lock/unlock the key columns to simplify the analysis
  • Select arbitrary columns for display
How can I export data comparison results?

With Data Compare, you can use comparison results in reports and other analytical documents by exporting data as follows:

  • Generate a data comparison report in Excel and HTML formats
  • Include actual data in the report
  • Generate a report for selected objects only
What synchronization features does the data comparison tool have?

dbForge Data Compare for PostgreSQL allows you to synchronize data between databases by providing the following options:

  • Create accurate synchronization scripts
  • Migrate individual records, groups of records, or all data differences
  • Toggle synchronization direction to apply data changes to both databases

Before synchronization, the tool validates the data and issues warnings, if any problems are detected.

How can I automate my routine tasks?

You can make data comparison part of your CI/CD pipelines as follows:

  • Save comparison project settings as a script
  • Use the command-line interface for automated routine synchronizations
What are the common use cases for PostgreSQL Data Compare?

The typical use cases for dbForge Data Compare for PostgreSQL include the following:

  • Environment validation (for example, development vs. staging)
  • Data consistency verification during deployments
  • Restoration of missing records
  • Synchronization of lookup or reference data
  • Identification of data drift after releases
  • Data validation after migrations