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Terracotta vs dbForge Data Compare for PostgreSQL comparison

Devart and Software AG are both solutions in the Database Development and Management category. Devart is ranked #53, while Software AG is ranked #20 with an average rating of 7.0. Additionally, 100% of Software AG users are willing to recommend the solution.
dbForge Data Compare for Po...
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  • 55 Comparison Views
Terracotta
Read 1 Terracotta review
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  • 143 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 17, 2025

Terracotta and dbForge Data Compare for PostgreSQL are competing products in data management and comparison. dbForge is considered to have the upper hand due to its comprehensive features and robust functionality.

Features: Terracotta offers scalability, flexibility, and effective pricing, making it accessible for integration within various systems. dbForge Data Compare for PostgreSQL is known for its accuracy in data comparison, ease of use in data synchronization, and capability to handle large volumes of data.

Ease of Deployment and Customer Service: dbForge Data Compare for PostgreSQL provides a straightforward deployment model with comprehensive customer service. Terracotta offers easy deployment but lacks the robust support services of dbForge.

Pricing and ROI: Terracotta's pricing model targets affordability with low setup costs, resulting in a strong ROI for various budgets. dbForge Data Compare has higher initial costs, yet its advanced features and performance offer a compelling ROI, justifying the investment through enhanced process efficiency.

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Database Development and Management
July 2025
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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

dbForge Data Compare for Po...
Ranking in Database Development and Management
53rd
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Terracotta
Ranking in Database Development and Management
20th
Average Rating
7.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Featured Reviews

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reviewer2727468 - PeerSpot reviewer
Enhancing User Experience with Clustering While Potential Exists for Better Customization
My total experience with Terracotta is installing it in the architecture to do the clustering in WebMethods Integration Server. This provided to tackle the memory and the processes of those servers in the same pool. Terracotta, as per my understanding, is used for caching. The first function is used for clustering the requests. Regarding improvements, I cannot imagine what could be improved because my actual work in Integration Server is not totally restricted to Terracotta. The main function was restricted to developing services using integration servers in Software AG. The use of Terracotta is just for implementing caching. In this part, I create a cache manager for this response, and from a UI perspective, I am unable to suggest improvements.
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Questions from the Community

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What needs improvement with Terracotta?
My total experience with Terracotta is installing it in the architecture to do the clustering in WebMethods Integration Server. This provided to tackle the memory and the processes of those servers...
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What is your primary use case for Terracotta?
Terracotta is actually a product used for clustering. It is not used standalone in architecture but is used in the Software AG architecture to cluster the request or state the request data between ...
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What advice do you have for others considering Terracotta?
I may not be the best one to provide advice, but during my experience with Terracotta, I didn't face major issues with this product. I recommend this product to be used in any architecture. On a sc...
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Comparisons

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Terracotta BigMemory vs Terracotta
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Product Reports

Buyer's Guide
Database Development and Management
July 2025
dbForge Data Compare for PostgreSQL reportDownload dbForge Data Compare for PostgreSQL product report
Buyer's Guide
Database Development and Management
July 2025
Terracotta reportDownload Terracotta product report
 

Overview

dbForge Data Compare for PostgreSQL is a specific tool designed for comparing and synchronizing PostgreSQL databases efficiently. It offers a range of functions that assist database administrators in identifying differences between databases and bridging the gap with ease.

This tool is ideal for professionals seeking precision in database management, delivering robust functionalities for comparing data across PostgreSQL databases. It facilitates the analysis of structural and data discrepancies, enabling users to perform accurate synchronizations and migrations. This indispensable utility supports both developers and administrators to enhance efficiency in database management tasks.

What are the key features of dbForge Data Compare for PostgreSQL?
  • Data Comparison: Analyze tables efficiently to find differences.
  • Synchronization: Synchronize PostgreSQL databases seamlessly.
  • Comparison Reports: Generate detailed reports for audit and review.
  • Comparison customization: Configure comparison rules according to needs.
  • Command line interface: Automate tasks with script commands.
What ROI should users consider in reviews?
  • Time Savings: Streamline database comparison and synchronization operations.
  • Improved Accuracy: Detect data discrepancies with precision.
  • Ease of Integration: Integrate smoothly with existing workflows.
  • Cost Efficiency: Reduce manual effort and potential errors.

dbForge Data Compare for PostgreSQL is widely utilized across industries such as finance, healthcare, and e-commerce where data integrity and consistency are critical. These sectors benefit from its capabilities in ensuring reliable data synchronization processes, making database management less time-consuming and error-prone.

Devart
Clock the fastest performance for operational and analytical workloads. Only with Software AG's Terracotta DB can you use one store for transactions and analytics - that's just smarter for real-time business. You no longer need to duplicate and move data for computations. And by moving data off the mainframe to in-memory, not only can you access data lightening-fast, you also can drastically reduce MIPS costs.
Software AG
 

Sample Customers

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Kiabi, Wipro Technologies, CERN, Essent, Nielsen
Buyer's Guide
Database Development and Management
July 2025
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