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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Pg_timetable vs pgRouting

Pg_timetable vs pgRouting

OverviewComparisonAlternatives

Overview

Pg_timetable
Pg_timetable
Stacks3
Followers11
Votes0
GitHub Stars1.2K
Forks66
pgRouting
pgRouting
Stacks10
Followers24
Votes8

Pg_timetable vs pgRouting: What are the differences?

<Write Introduction here>
  1. Query Language Support: Pg_timetable is specifically designed for scheduling tasks and jobs within PostgreSQL using SQL queries, while pgRouting focuses on solving routing problems in large scale networks using algorithms such as Dijkstra and A-star.

  2. Functionality: Pg_timetable offers features for automated task scheduling, time-based triggers, and recurring tasks, making it suitable for managing complex scheduling scenarios. On the other hand, pgRouting focuses on finding the shortest path, traveling salesman problem, and vehicle routing optimization in network analysis.

  3. Integration: Pg_timetable seamlessly integrates with PostgreSQL databases, allowing users to utilize its scheduling capabilities within their existing database environment. In contrast, pgRouting is a standalone extension for PostgreSQL that requires separate installation and setup for network routing applications.

  4. Use Cases: Pg_timetable is commonly used in scenarios that require precise job scheduling, task automation, and time-based triggers within a database environment. Conversely, pgRouting is preferred for applications that involve route optimization, vehicle tracking, logistics planning, and network analysis in various industries.

  5. Community Support: Pg_timetable has a smaller user base and community support compared to pgRouting, as it caters to a specific niche of scheduling tasks within PostgreSQL databases. PgRouting, being a widely-used routing extension, benefits from a larger community of users contributing to its development, documentation, and support resources.

  6. Performance Impact: Pg_timetable is optimized for efficiently managing scheduled tasks and jobs within PostgreSQL, ensuring minimal performance overhead when handling scheduling operations. On the other hand, pgRouting's routing algorithms may introduce higher computational overhead and resource requirements, especially when dealing with large network datasets and complex routing scenarios.

In Summary, Pg_timetable and pgRouting cater to distinct use cases within PostgreSQL, with Pg_timetable focusing on task scheduling and automation, while pgRouting specializes in network routing and optimization.

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Detailed Comparison

Pg_timetable
Pg_timetable
pgRouting
pgRouting

It is an advanced job scheduler for PostgreSQL, offering many advantages over traditional schedulers such as cron and others. It is completely database driven and provides a couple of advanced concepts.

It is an extension of PostGIS and PostgreSQL geospatial database and adds routing and other network analysis functionality.

Tasks can be arranged in chains; A chain can consist of SQL and executables; Parameters can be passed to chains; Missed tasks (possibly due to downtime) can be retried automatically; Support for configurable repetitions; Builtin tasks such as sending emails, etc; Fully database driven configuration; Full support for database driven logging; Cron-style scheduling; Optional concurrency protection
All Pairs Shortest Path, Johnson’s Algorithm; All Pairs Shortest Path, Floyd-Warshall Algorithm; Shortest Path A*; Bi-directional Dijkstra Shortest Path; Bi-directional A* Shortest Path; Shortest Path Dijkstra; Driving Distance; K-Shortest Path, Multiple Alternative Paths; K-Dijkstra, One to Many Shortest Path; Traveling Sales Person; Turn Restriction Shortest Path (TRSP)
Statistics
GitHub Stars
1.2K
GitHub Stars
-
GitHub Forks
66
GitHub Forks
-
Stacks
3
Stacks
10
Followers
11
Followers
24
Votes
0
Votes
8
Pros & Cons
No community feedback yet
Pros
  • 3
    Dynamic routing
  • 1
    Open Source
  • 1
    Data changes are reflected instantaneously
  • 1
    Geospatial network analysis
  • 1
    QGIS plugin
Integrations
Golang
Golang
PostgreSQL
PostgreSQL
Docker
Docker
PostgreSQL
PostgreSQL
PostGIS
PostGIS

What are some alternatives to Pg_timetable, pgRouting?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

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