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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Experience a comprehensive and robust tool for managing, administering, and developing databases specifically for PostgreSQL. Effortlessly browse, create, modify, duplicate, rename, and remove various schema elements such as tables, views, functions, and triggers with remarkable ease. Streamline your data modeling efforts by establishing tables and relationships with just a few clicks of your mouse. You can also print diagrams or save them in multiple graphical file formats for further use. Utilize an expansive array of tools to browse, edit, print, sort, group, and filter your data, including master-detail views for enhanced organization. Develop graphical diagrams and OLAP cubes to visualize your data more effectively. Take advantage of a feature-rich SQL Editor equipped with code completion, code folding, and formatted SQL, or construct your queries visually for added convenience. Data export capabilities extend to 20 of the most commonly used file formats, while you can also import data from sources such as Excel, CSV, and XML. Ensure the safety and security of your server by utilizing the powerful tools offered by PostgreSQL Maestro. Moreover, effortlessly split denormalized tables, generate DML procedures or updatable views, and verify nullable columns, all with just a few simple clicks for a more efficient database management experience.

Description

Pylar serves as a secure intermediary layer for data access, allowing AI agents to interact safely with structured information while preventing direct database connections. To start, users connect various data sources, which may include platforms like BigQuery, Snowflake, PostgreSQL, as well as business applications such as HubSpot or Google Sheets, to Pylar. Following this, governed SQL views can be generated using the intuitive SQL IDE provided by Pylar; these views specify the precise tables, columns, and rows that agents may access. Additionally, Pylar enables the creation of “MCP tools,” which can be developed through natural-language prompts or manual setups, converting SQL queries into standardized, secure operations. After the development and thorough testing of these tools, they can be published, allowing agents to retrieve data via a unified MCP endpoint that integrates seamlessly with various agent-building platforms, including custom AI assistants and no-code automation solutions like Zapier, n8n, and LangGraph, as well as development environments like VS Code. This streamlined access not only enhances security but also optimizes the efficiency of data interactions for AI agents across diverse applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Microsoft 365
MySQL
PostgreSQL
Airtable
Atlassian Data Center
Facebook Ads
Freshdesk
Front
Google Cloud BigQuery
Heap
HubSpot CRM
IBM Cloud Databases
LinkedIn Ads
Meta Ads
MotherDuck
Notion
PHP
Pipedrive
Supabase
Zendesk

Integrations

Microsoft 365
MySQL
PostgreSQL
Airtable
Atlassian Data Center
Facebook Ads
Freshdesk
Front
Google Cloud BigQuery
Heap
HubSpot CRM
IBM Cloud Databases
LinkedIn Ads
Meta Ads
MotherDuck
Notion
PHP
Pipedrive
Supabase
Zendesk

Pricing Details

$99 one-time payment
Free Trial
Free Version

Pricing Details

$20 per month
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

SQL Maestro

Founded

2002

Country

United States

Website

www.sqlmaestro.com/products/postgresql/maestro/

Vendor Details

Company Name

Pylar

Founded

2025

Country

USA

Website

www.pylar.ai/

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