Ralley vs simplehttp

Overview

simplehttp

Stacks2

Followers6

Votes0

GitHub Stars541

Forks81

Ralley

Stacks0

Followers2

Votes0

Ralley vs simplehttp: What are the differences?

Ralley: Queue as a service. Simple, robust queue as service - that requires absolutely no setup as it works over HTTPS Simply prefix ANY https request with ralley.to/ and we’ll queue, and then forward the request with the exact same method/body/headers/parameters.

It lets you queue, retry, delay or schedule cron jobs - with a best-in-class job console to see exactly the status of every job.; simplehttp: A family of libraries and daemons built upon libevent that make high performance HTTP servers simple and straightforward to write. .

Ralley and simplehttp can be categorized as "Message Queue" tools.

simplehttp is an open source tool with 492 GitHub stars and 74 GitHub forks. Here's a link to simplehttp's open source repository on GitHub.

🔥 Trending in Background Jobs on StackShare

Solid Queue Background Jobs

Database-backed active job backend

Try it View Docs Alternatives

Try

Detailed Comparison

simplehttp	Ralley
No description available.	Simple, robust queue as service - that requires absolutely no setup as it works over HTTPS. Simply prefix ANY https request with ralley.to/ and we’ll queue, and then forward the request with the exact same method/body/headers/parameters. It lets you queue, retry, delay or schedule cron jobs - with a best-in-class job console to see exactly the status of every job.
-	Queue;Cron;Delay;Throttle;Schedule;Pub/sub
Statistics
GitHub Stars 541	GitHub Stars -
GitHub Forks 81	GitHub Forks -
Stacks 2	Stacks 0
Followers 6	Followers 2
Votes 0	Votes 0
Integrations
No integrations available	Python PHP Node.js Docker Ruby

What are some alternatives to simplehttp, Ralley?

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.