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What is Scalefield?

Scalefield serves as a centralized platform designed for the deployment and oversight of PostgreSQL services within private cloud environments, created and supported by the PostgreSQL team at CYBERTEC. This solution is specifically tailored for organizations that are required to keep their data on-premises due to compliance regulations or internal policies, making it a practical alternative to public cloud database options. It consolidates PostgreSQL environments into a single managed interface, enhancing the efficiency of tasks such as deployment, backup, monitoring, and scaling, while also accommodating features like multi-tenancy, encryption, and compliance reporting capabilities. Operating on Kubernetes or OpenShift, Scalefield easily integrates with a variety of CYBERTEC tools, including the CYBERTEC Migrator, CYPEX, PGEE, Babelfish for PostgreSQL, and Scalefield Secure. This integration not only streamlines database management but also enriches the overall functionality available to users. By offering a robust management framework, Scalefield enables organizations to maintain efficient control over their database systems while ensuring compliance with essential regulations and policies. Overall, Scalefield stands out as an effective solution for those looking to optimize their private cloud database management.

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
ChatGPT
Codestral
Codestral Mamba
Haskell
Java
Llama 3.2
Microsoft Power BI
Ministral 8B
Mistral AI
Mixtral 8x22B
Node.js
ORCA
PHP
Pixtral Large
Platypus
R
Rust
Swift
Visual Studio Code

Integrations Supported

PostgreSQL
ChatGPT
Codestral
Codestral Mamba
Haskell
Java
Llama 3.2
Microsoft Power BI
Ministral 8B
Mistral AI
Mixtral 8x22B
Node.js
ORCA
PHP
Pixtral Large
Platypus
R
Rust
Swift
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

€72.520,00 per year
Free Version
Free Trial Offered?

Pricing Information

$.60 per hour
Free Version
Free Trial Offered?

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

CYBERTEC PostgreSQL

Date Founded

2000

Company Location

Austria

Company Website

www.cybertec-postgresql.com/en/

Company Facts

Organization Name

PostgresML

Company Website

postgresml.org

Categories and Features

Categories and Features

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