Need advice about which tool to choose?Ask the StackShare community!

Pg_timetable

3
11
+ 1
0
Stellar

6
28
+ 1
0
Add tool

Stellar vs Pg_timetable: What are the differences?

Developers describe Stellar as "Fast database snapshot and restore tool for development". Stellar allows you to quickly restore database when you are e.g. writing database migrations, switching branches or messing with SQL. PostgreSQL and MySQL are supported. On the other hand, Pg_timetable is detailed as "PostgreSQL Job Scheduling". 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.

Stellar and Pg_timetable can be categorized as "Database" tools.

Stellar is an open source tool with 3.62K GitHub stars and 108 GitHub forks. Here's a link to Stellar's open source repository on GitHub.

Manage your open source components, licenses, and vulnerabilities
Learn More

What is Pg_timetable?

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.

What is Stellar?

Stellar allows you to quickly restore database when you are e.g. writing database migrations, switching branches or messing with SQL. PostgreSQL and MySQL are supported.

Need advice about which tool to choose?Ask the StackShare community!

What tools integrate with Pg_timetable?
What tools integrate with Stellar?
    No integrations found
    What are some alternatives to Pg_timetable and Stellar?
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives