PostgreSQL Maestro

PostgreSQL Maestro

SQL Maestro
+

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About

HeidiSQL is free software, and has the aim to be easy to learn. "Heidi" lets you see and edit data and structures from computers running one of the database systems MariaDB, MySQL, Microsoft SQL, PostgreSQL and SQLite. Invented in 2002 by Ansgar, HeidiSQL belongs to the most popular tools for MariaDB and MySQL worldwide. Free for everyone, OpenSource. Connect to multiple servers in one window. Supported database systems: MariaDB, MySQL, MS SQL, PostgreSQL and SQLite. Connect to servers via commandline. Connect via SSH tunnel, or pass SSL settings. Create and edit tables, views, stored routines, triggers and scheduled events. Generate nice SQL-exports, compress these afterwards, or put them on the clipboard. Export from one server/database directly to another server/database. Manage user-privileges, import text-files, export table rows as CSV, HTML, XML, SQL, LaTeX, Wiki Markup and PHP Array. Browse and edit table-data using a comfortable grid.

About

Complete and powerful database management, admin, and development tool for PostgreSQL. Browse, create, edit, duplicate, rename, and drop all schema objects like tables, views, functions, or triggers in the simplest way possible. Simplify your data modeling tasks. Create tables and relations in a few mouse clicks. Print diagrams or export them to a number of graphical file formats. Browse, edit, print, sort, group, and filter your data using a wide spectrum of available tools including master-detail views. Build graphical diagrams and OLAP cubes. Enjoy a feature-rich SQL Editor with code completion, code folding, and SQL formatted, or build your queries visually. Export your data to as many as 20 most popular file formats or import data from Excel, CSV, XML and other files. Make your server safe and secure with powerful tools provided by PostgreSQL Maestro. Split denormalized tables, generate DML procedures or updatable views, and check nullable columns with a few mouse clicks.

About

Enjoy the highest performance and unlimited possibilities when working with SQL Server. SQL Server Data Access Components (SDAC) is a library of components that provides native connectivity to SQL Server from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) for Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. SDAC-based applications connect to SQL Server directly through OLE DB, which is a native SQL Server interface. SDAC is designed to help programmers develop faster and cleaner SQL Server database applications. SDAC, a high-performance, and feature-rich SQL Server connectivity solution is a complete replacement for standard SQL Server connectivity solutions and presents an efficient native alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to SQL Server. SDAC-based DB applications are easy to deploy, and do not require the installation of other data provider layers.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers who want a free database manager solution to see and edit data and structures from computers running a database system

Audience

Developers seeking a tool to create tables and databases to analyze, browse, edit, duplicate, rename and drop schema objects

Audience

Programmers in need of a tool to develop faster and cleaner SQL Server database applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

$0
Free Version
Free Trial

Pricing

$99 one-time payment
Free Version
Free Trial

Pricing

$199.95 per year
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

HeidiSQL
Founded: 2002
Germany
www.heidisql.com

Company Information

SQL Maestro
Founded: 2002
United States
www.sqlmaestro.com/products/postgresql/maestro/

Company Information

Devart
Founded: 1997
Czech Republic
www.devart.com/sdac/

Alternatives

Alternatives

Alternatives

Postbird

Postbird

Paxa
TablePlus

TablePlus

TablePlus InC
Valentina Studio

Valentina Studio

Paradigma Software
Valentina Studio

Valentina Studio

Paradigma Software

Categories

Categories

Categories

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Integrations

Azure SQL Database
Delphi
Digna
Firebird
FreeBSD
IBM Cloud Databases
InterBase
MariaDB
Microsoft 365
Microsoft Excel
MySQL
Oracle Database
PHP
PostgreSQL
ProxySQL
SQL Server
SQLite
XML

Integrations

Azure SQL Database
Delphi
Digna
Firebird
FreeBSD
IBM Cloud Databases
InterBase
MariaDB
Microsoft 365
Microsoft Excel
MySQL
Oracle Database
PHP
PostgreSQL
ProxySQL
SQL Server
SQLite
XML

Integrations

Azure SQL Database
Delphi
Digna
Firebird
FreeBSD
IBM Cloud Databases
InterBase
MariaDB
Microsoft 365
Microsoft Excel
MySQL
Oracle Database
PHP
PostgreSQL
ProxySQL
SQL Server
SQLite
XML
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