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PostgreSQL VS dbForge Search for SQL Server

Compare PostgreSQL VS dbForge Search for SQL Server and see what are their differences

PostgreSQL

PostgreSQL is a powerful, open source object-relational database system.

Rating
0 reviews
Pricing
Open source
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Alternatives Is it good?
dbForge Search for SQL Server

dbForge Search is a free SSMS add-in for search of SQL objects and data in database tables and views with handy management of search results.

Rating
0 reviews
Pricing
Free
Promote on VibeVoted
Alternatives Is it good?
AxCrypt
AxCrypt is a powerful, easy-to-use encryption tool that protects your files, passwords, and personal information with strong AES-256 security. Available on Windows, Mac, Android, and iOS, it keeps your data safe wherever you go. sponsored

Which is more popular?

Based on our record, PostgreSQL seems to be more popular. It has been mentioned 19 times since March 2021.

social mentions
19 vs 0
Databases popularity
98% vs 2%
alternatives listed
237 vs 14

Base details

Website, pricing, platforms and company facts side by side.

PostgreSQL
dbForge Search for SQL Server
Website postgresql.org devart.com
Pricing
Open source Official pricing
Free Official pricing
Company Startup from the United States —
Listed in
Databases Relational Databases NoSQL Databases Tool +1
Databases Relational Databases Tool SQL Database +1

Features and specs

What each product offers, as listed by its team.

PostgreSQL 7 features
dbForge Search for SQL Server 0 features
  • Open Source
    PostgreSQL is an open-source database management system, which means it is free to use, modify, and distribute. This reduces the cost of database management for individuals and organizations.
  • ACID Compliance
    PostgreSQL is fully ACID (Atomicity, Consistency, Isolation, Durability) compliant, ensuring reliable transactions and data integrity.
  • Extensible
    PostgreSQL is highly extensible, allowing users to add custom functions, data types, and operators. This enables tailored solutions to specific requirements.
  • Advanced SQL Features
    PostgreSQL supports advanced SQL features like full-text search, JSON and XML data types, and complex queries, providing powerful tools for database operations.
  • Community Support
    There is a strong and active community around PostgreSQL, offering extensive documentation, forums, and collaborative support, which aids troubleshooting and development.
  • Multiple Indexing Techniques
    PostgreSQL offers a variety of indexing techniques such as B-tree, GIN, GiST, and BRIN, allowing for optimized query performance on various data types.
  • Cross-Platform Availability
    PostgreSQL runs on all major operating systems (Windows, MacOS, Linux, Unix), giving flexibility in deployment and development environments.

Possible disadvantages

  • Complex Configuration
    Setting up and configuring PostgreSQL can be complex and time-consuming, especially for beginners, requiring a good understanding of its parameters and best practices.
  • Heavy Resource Consumption
    PostgreSQL can be resource-intensive, consuming significant CPU and memory compared to other database systems, which may affect performance on lower-end hardware.
  • Backup and Restore Process
    The backup and restore process in PostgreSQL is not as straightforward as in some other database systems, requiring more manual intervention and understanding of tools like pg_dump and pg_restore.
  • Replication Complexity
    While PostgreSQL supports replication, setting it up can be more complex than some other databases. Advanced configurations like multi-master replication can be particularly challenging.
  • Steeper Learning Curve
    Due to its advanced features and extensive capabilities, PostgreSQL can have a steeper learning curve, making it harder for new users to get started compared to simpler database systems.
  • Less Third-Party Tool Support
    PostgreSQL has less support from third-party tools compared to more widely adopted databases like MySQL, which can limit options for auxiliary functions like administration, monitoring, and development.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

PostgreSQL
dbForge Search for SQL Server

Overall verdict

  • Yes, PostgreSQL is considered a high-quality and reliable database management system, suitable for a wide range of applications, from small-scale personal projects to large enterprise systems.

Why this product is good

  • PostgreSQL is known for its strong support of SQL standards and excellent documentation, making it reliable for complex database requirements.
  • It provides advanced features such as multi-version concurrency control (MVCC), point-in-time recovery, and support for advanced indexing techniques.
  • PostgreSQL offers robust performance optimization options, powerful extensions, and a highly customizable platform.
  • It has a strong open-source community, ensuring ongoing improvements and support.
  • PostgreSQL is compatible with popular development frameworks and languages, enhancing its versatility.

Recommended for

  • Organizations seeking a scalable and stable database solution with strong compliance with SQL standards.
  • Developers who need advanced features like custom data types and indexing capabilities.
  • Projects requiring robust transactional integrity and data consistency.
  • Businesses looking for a cost-effective open-source database solution with active community support.

Overall verdict

  • dbForge Search for SQL Server is a solid, reliable tool for quickly locating database objects and data across SQL Server instances, and it's especially appealing because it's offered as a free add-in for SQL Server Management Studio.

Why this product is good

  • It's a free add-in that integrates directly into SQL Server Management Studio, requiring minimal setup
  • It performs fast, comprehensive searches for database objects (tables, views, procedures, functions, etc.) and text within object definitions
  • It helps identify object dependencies, which is valuable for impact analysis before making schema changes
  • It supports searching for data within tables, not just object names
  • Devart is a well-established vendor with a strong track record of database tooling and ongoing support

Recommended for

  • Database developers who frequently navigate large or complex SQL Server databases
  • DBAs who need to perform impact analysis and locate object dependencies
  • Teams already using SSMS who want seamless integration without extra cost
  • Anyone needing to quickly find specific objects or data in unfamiliar or legacy databases

Videos

Walkthroughs and reviews on video.

PostgreSQL 3 videos + Add
dbForge Search for SQL Server 0 videos + Add

Comparison of PostgreSQL and MongoDB

More videos

  • - PostgreSQL Review
  • - MySQL vs PostgreSQL - Why you shouldn't use MySQL

No dbForge Search for SQL Server videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
PostgreSQL
dbForge Search for SQL Server
98% 98%
Databases
2% 2%
96% 96%
Tool
4% 4%
98% 98%
Relational Databases
2% 2%
100% 100%
NoSQL Databases
0% 0%

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

PostgreSQL no reviews yet
dbForge Search for SQL Server no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

PostgreSQL 19 mentions
dbForge Search for SQL Server 0 mentions

View more

Tracking dbForge Search for SQL Server since Mar 2021.

Alternatives to PostgreSQL and dbForge Search for SQL Server

When comparing PostgreSQL and dbForge Search for SQL Server, you can also consider the following products.

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