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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Microsoft 365 Yes 
MySQL Yes 
PostgreSQL Yes 
Adobe Marketo Engage No 
Asana No 
Facebook Ads No 
Front No 
Google Analytics No 
Heap No 
IBM Cloud Databases Yes 
Linear No 
LinkedIn Ads No 
Mixpanel No 
MotherDuck No 
Oracle Database Yes 
Outreach No 
PHP Yes 
Pipedrive No 
PostHog No 
QuickBooks Payments No 

Integrations

Microsoft 365 Yes 
MySQL Yes 
PostgreSQL Yes 
Adobe Marketo Engage Yes 
Asana Yes 
Facebook Ads Yes 
Front Yes 
Google Analytics Yes 
Heap Yes 
IBM Cloud Databases No 
Linear Yes 
LinkedIn Ads Yes 
Mixpanel Yes 
MotherDuck Yes 
Oracle Database No 
Outreach Yes 
PHP No 
Pipedrive Yes 
PostHog Yes 
QuickBooks Payments Yes 

Pricing Details

$99 one-time payment
Free Trial Yes 
Free Version No 

Pricing Details

$20 per month
Free Trial Yes 
Free Version No 

Deployment

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

Deployment

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

Customer Support

Business Hours No 
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 No 
Live Training (Online) No 
In Person No 

Types of Training

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

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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