What is River?
It is a robust high-performance job processing system for Go and Postgres. It encourages the use of the same database for application data and job queues. By enqueueing jobs transactionally along with other database changes, whole classes of distributed systems problems are avoided.
River is a tool in the Background Processing category of a tech stack.
River is an open source tool with 3.9K GitHub stars and 97 GitHub forks. Here’s a link to River's open source repository on GitHub
River Integrations
River's Features
- Transactional enqueueing simplifies everything
- Error handling and reporting
- Multiple isolated queues
- Graceful shutdown
River Alternatives & Comparisons
What are some alternatives to River?
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
Related Comparisons
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