Write a review temporarily disabled. Our system flagged this request as potentially automated and has disabled form submission for security reasons. If you believe this is a mistake, please contact us. We’ll be happy to help resolve the issue.

PostgreSQL Global Development Group

PostgreSQL

Composite Score

7.6 /10

CX Score

8.2 /10

8 Reviews Write a Review

Claim Software

What is PostgreSQL?

PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture that has earned it a strong reputation for reliability, data integrity, and correctness. It runs on all major operating systems, including Linux, UNIX (AIX, BSD, HP-UX, SGI IRIX, Mac OS X, Solaris, Tru64), and Windows. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages).

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

PostgreSQL Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

88 Likeliness to Recommend

100 Plan to Renew

81 Satisfaction of Cost Relative to Value

{y}

{name}

Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+97 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love PostgreSQL?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Reliable
Enables Productivity
Trustworthy

Feature Ratings

Average 80

Data Management

Database Management

High Availability

Data Protection and Security

Cloud/On-Prem/Hybrid Deployment

Distributed Processing

Hybrid Transaction and Analytical Support

Analytics and Reporting

Data Replication

Data Backup

Data Monitoring and Administration

Vendor Capability Ratings

Average 81

Ease of Data Integration

Business Value Created

Breadth of Features

Vendor Support

Product Strategy and Rate of Improvement

Quality of Features

Usability and Intuitiveness

Availability and Quality of Training

Ease of Customization

Ease of Implementation

Ease of IT Administration

PostgreSQL Reviews

Lakshmi P.

Role: Information Technology
Industry: Manufacturing
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2025

Best for analytics and data warehousing

Likeliness to Recommend

7 /10

What differentiates PostgreSQL from other similar products?

Postgres has powerful built-in support for advanced analytics and data warehousing, making it well-suited for use cases such as data mining, business intelligence, and reporting.

What is your favorite aspect of this product?

The native JSON support and full-text search capabilities of Postgres make it well-suited for content management and e-commerce applications.

What do you dislike most about this product?

By default, you are limited to 10 clusters per account or team. You cannot resize cluster nodes to smaller sizes. Point-in-time-recovery (PITR) is limited to the last 7 days.

What recommendations would you give to someone considering this product?

PostgreSQL is better suited for enterprise-level applications with frequent write operations and complex queries.

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

PostgreSQL

What is PostgreSQL?

Company Details

Need Assistance?

PostgreSQL Ratings

88 Likeliness to Recommend

100 Plan to Renew

81 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+97 Net Emotional Footprint

How much do users love PostgreSQL?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Management Includes data sharing, data storage, records management, and data security.

Database Management Supports multiple data types, data structuring, data retrieval, database customization, and multi-user access.

High Availability HA DB designed for near-zero downtown by seamless replication of data between environments for uninterrupted real-time access and fail-over capabilities.

Data Protection and Security Includes data encryption, data audit, and data compliance.

Cloud/On-Prem/Hybrid Deployment Supports one or many deployment models - On-prem, cloud or hybrid hosting of the database system.

Distributed Processing Data storage and processing is shared among many physical or virtual independents servers or sites for high volume data with seamless access to large datasets.

Hybrid Transaction and Analytical Support Includes OLTP and OLAP (Online Analytical Processing). Most OLTP systems support some level of OLAP but very few OLAP systems support OLTP.

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

Data Replication Support for a real-time copy of the database in more than one system to facilitate access to the copy of data from multiple systems without any inconsistencies.

Data Backup Includes the creation of duplicate instances to recover from an unplanned data loss. Also, support for high volumes of data processing and data compression.

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

PostgreSQL Reviews

Lakshmi P.

Best for analytics and data warehousing

Likeliness to Recommend

Pros

Feature Ratings

Data Management

Database Management

High Availability

Data Protection and Security

Cloud/On-Prem/Hybrid Deployment

Distributed Processing

Hybrid Transaction and Analytical Support

Analytics and Reporting

Data Replication

Data Backup

Data Monitoring and Administration

Vendor Capability Ratings

Ease of Data Integration

Business Value Created

Breadth of Features

Vendor Support

Product Strategy and Rate of Improvement

Quality of Features

Usability and Intuitiveness

Availability and Quality of Training

Ease of Customization

Ease of Implementation

Ease of IT Administration