Average Ratings 2 Ratings

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Average Ratings 0 Ratings

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Description

Introducing a versatile and free database management tool designed for developers, database administrators, analysts, and anyone who engages with databases. It offers compatibility with a wide range of popular databases, including MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, Presto, among others. Recent updates include a new format configuration editor for the "Copy As" feature, enhanced performance through additional configurations in the filter dialog, and the ability to sort by column with fixed settings for smaller fetch sizes. Users can now benefit from case-insensitive filters, while the plaintext view has been improved by incorporating top and bottom dividers. Furthermore, the data editor has been rectified to address issues arising from column name conflicts with alias names, and the command for duplicating rows has been fixed for cases involving multiple selections. The context menu has been updated to include the edit sub-menu once again, and auto-sizing configurations for columns have been introduced. Additionally, the dictionary viewer has been corrected for use with read-only connections, and new features support current and selected row highlighting, which can be customized according to user preferences. This tool continues to evolve, ensuring that users have the best possible experience while working with their database management tasks.

Description

PostgresML serves as a comprehensive platform integrated within a PostgreSQL extension, allowing users to construct models that are not only simpler and faster but also more scalable directly within their database environment. Users can delve into the SDK and utilize open-source models available in our hosted database for experimentation. The platform enables a seamless automation of the entire process, from generating embeddings to indexing and querying, which facilitates the creation of efficient knowledge-based chatbots. By utilizing various natural language processing and machine learning techniques, including vector search and personalized embeddings, users can enhance their search capabilities significantly. Additionally, it empowers businesses to analyze historical data through time series forecasting, thereby unearthing vital insights. With the capability to develop both statistical and predictive models, users can harness the full potential of SQL alongside numerous regression algorithms. The integration of machine learning at the database level allows for quicker result retrieval and more effective fraud detection. By abstracting the complexities of data management throughout the machine learning and AI lifecycle, PostgresML permits users to execute machine learning and large language models directly on a PostgreSQL database, making it a robust tool for data-driven decision-making. Ultimately, this innovative approach streamlines processes and fosters a more efficient use of data resources.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

PostgreSQL Yes 
BERT No 
CrateDB Yes 
Firebird Yes 
Hugging Face No 
IBM Db2 Yes 
Julia No 
Llama 3.3 No 
Microsoft Power BI No 
Mistral Small No 
Phoenix Yes 
Pixtral Large No 
Platypus No 
Presto Yes 
PyTorch No 
Rust No 
Salesforce Data 360 Yes 
Scala No 
Tableau No 

Integrations

PostgreSQL Yes 
BERT Yes 
CrateDB No 
Firebird No 
Hugging Face Yes 
IBM Db2 No 
Julia Yes 
Llama 3.3 Yes 
Microsoft Power BI Yes 
Mistral Small Yes 
Phoenix No 
Pixtral Large Yes 
Platypus Yes 
Presto No 
PyTorch Yes 
Rust Yes 
Salesforce Data 360 No 
Scala Yes 
Tableau Yes 

Pricing Details

$11/month
Monthly subscription starts at $11
Annual subscription starts at $110
Free Trial Yes 
Free Version No 

Pricing Details

$.60 per hour
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

DBeaver Corp.

Founded

2017

Country

United States

Website

dbeaver.io

Vendor Details

Company Name

PostgresML

Website

postgresml.org

Product Features

Database

Backup and Recovery Yes 
Creation / Development Yes 
Data Migration Yes 
Data Replication No 
Data Search Yes 
Data Security Yes 
Database Conversion No 
Mobile Access No 
Monitoring Yes 
NOSQL Yes 
Performance Analysis Yes 
Queries Yes 
Relational Interface Yes 
Virtualization No 

Product Features

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