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What is Postgresus?

Postgresus is an entirely free and open-source tool crafted for self-hosted backup solutions specifically for PostgreSQL databases. It enables users to effortlessly create backups across a range of storage platforms, including S3, Google Drive, and FTP, while also offering notifications about the backup activities via popular messaging services like Slack, Discord, and Telegram. Some of its key features are: - The capability to effortlessly schedule backups for multiple PostgreSQL databases. - A variety of storage alternatives, including local disks, S3, Cloudflare R2, Google Drive, Azure Blob, NAS, and others. - Instant notifications on backup statuses delivered through email, Telegram, Slack, Discord, MS Teams, and configurable webhooks. - Compatibility with both self-hosted PostgreSQL databases and managed services such as RDS, Cloud SQL, and Azure Database for PostgreSQL. - Flexible deployment methods, which can include running as a single Docker container, utilizing Helm on Kubernetes, or installation via a shell script. - Robust team management features that include various workspaces, role-based access control (RBAC), and detailed audit logs for tracking activities. - Enhanced encryption protocols to safeguard sensitive data and backup files. - In summary, Postgresus not only offers a dependable and versatile backup solution but also caters to a broad spectrum of PostgreSQL environments, making it an excellent choice for users seeking reliability and flexibility.

What is PostgresML?

PostgresML is an all-encompassing platform embedded within a PostgreSQL extension, enabling users to create models that are not only more efficient and rapid but also scalable within their database setting. Users have the opportunity to explore the SDK and experiment with open-source models that are hosted within the database. This platform streamlines the entire workflow, from generating embeddings to indexing and querying, making it easier to build effective knowledge-based chatbots. Leveraging a variety of natural language processing and machine learning methods, such as vector search and custom embeddings, users can significantly improve their search functionalities. Moreover, it equips businesses to analyze their historical data via time series forecasting, revealing essential insights that can drive strategy. Users can effectively develop statistical and predictive models while taking advantage of SQL and various regression techniques. The integration of machine learning within the database environment facilitates faster result retrieval alongside enhanced fraud detection capabilities. By simplifying the challenges associated with data management throughout the machine learning and AI lifecycle, PostgresML allows users to run machine learning and large language models directly on a PostgreSQL database, establishing itself as a powerful asset for data-informed decision-making. This innovative methodology ultimately optimizes processes and encourages a more effective deployment of data resources. In this way, PostgresML not only enhances efficiency but also empowers organizations to fully capitalize on their data assets.

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Integrations Supported

PostgreSQL
Amazon EC2
Amazon S3
C++
ChatGPT
Google Drive
Julia
Mathstral
Mistral Large
Mistral Small
ORCA
OpenAI
PHP
Perl
Python
R
Rust
Tableau
Telegram
TensorFlow

Integrations Supported

PostgreSQL
Amazon EC2
Amazon S3
C++
ChatGPT
Google Drive
Julia
Mathstral
Mistral Large
Mistral Small
ORCA
OpenAI
PHP
Perl
Python
R
Rust
Tableau
Telegram
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Trial Offered?
Free Version

Pricing Information

$.60 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Postgresus

Date Founded

2025

Company Location

United States

Company Website

postgresus.com

Company Facts

Organization Name

PostgresML

Company Website

postgresml.org

Categories and Features

Database Backup

Automatic Backup
Backup Locations
Backup Scope Settings
Differential Backup
Filegroup Backup
Full Backup
Incremental Backup
Manual Backup
Multiple Backups

Categories and Features

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