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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

PostgreSQL stands out as a highly capable, open-source object-relational database system that has been actively developed for more than three decades, earning a solid reputation for its reliability, extensive features, and impressive performance. Comprehensive resources for installation and usage are readily available in the official documentation, which serves as an invaluable guide for both new and experienced users. Additionally, the open-source community fosters numerous forums and platforms where individuals can learn about PostgreSQL, understand its functionalities, and explore job opportunities related to it. Engaging with this community can enhance your knowledge and connection to the PostgreSQL ecosystem. Recently, the PostgreSQL Global Development Group announced updates for all supported versions, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23, which address 25 reported bugs from the past few months. Notably, this marks the final release for PostgreSQL 10, meaning that it will no longer receive any security patches or bug fixes going forward. Therefore, if you are currently utilizing PostgreSQL 10 in your production environment, it is highly recommended that you plan to upgrade to a more recent version to ensure continued support and security. Upgrading will not only help maintain the integrity of your data but also allow you to take advantage of the latest features and improvements introduced in newer releases.

Description

Liberate your applications and streamline your operations. Success in today's business landscape requires excellence in software development. What strategies can you employ to enhance the speed of feature delivery for the systems that drive your enterprise? Or how can you efficiently oversee and operate modernized workloads across any cloud platform? By leveraging VMware Tanzu together with VMware Pivotal Labs, you can revolutionize both your teams and applications, all while making operations more straightforward across a multi-cloud environment, whether it's on-premises, in the public cloud, or at the edge. This transformative approach not only boosts efficiency but also fosters innovation within your organization.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Alteryx
Coginiti
Data Virtuality
Airplane
Airtool
Amigo
Azure Database for PostgreSQL
Deepnote
Estuary Flow
Foundational
Houseware
NXLog
Navicat for PostgreSQL
PartKeepr
PolarDB
Polr
PostgreSQL Maestro
Preset
Scispot
Txt2SQL

Integrations

Alteryx
Coginiti
Data Virtuality
Airplane
Airtool
Amigo
Azure Database for PostgreSQL
Deepnote
Estuary Flow
Foundational
Houseware
NXLog
Navicat for PostgreSQL
PartKeepr
PolarDB
Polr
PostgreSQL Maestro
Preset
Scispot
Txt2SQL

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

PostgreSQL Global Development Group

Country

United States

Website

www.postgresql.org

Vendor Details

Company Name

Broadcom

Founded

1991

Country

United States

Website

www.vmware.com/products/app-platform/tanzu-greenplum

Product Features

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Alternatives

Alternatives

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