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  1. Stackups
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  4. Redis Hosting
  5. Kafka vs RedisGreen

Kafka vs RedisGreen

OverviewComparisonAlternatives

Overview

RedisGreen
RedisGreen
Stacks14
Followers26
Votes1
Kafka
Kafka
Stacks24.2K
Followers22.3K
Votes607
GitHub Stars31.2K
Forks14.8K

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Detailed Comparison

RedisGreen
RedisGreen
Kafka
Kafka

Redis drives the best sites on the web, from Twitter to Pinterest. RedisGreen makes it easy for anyone to use. Customers can spin up databases at the click of a button. RedisGreen's future is in very fast tools to make the most difficult aspects of modern web application development faster, cheaper, and less labor-intensive.<br>

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

Your server is yours- Every single RedisGreen server is a dedicated EC2 instance, not an ad-hoc multi-tenant environment. Your server will perform as predictably as a reserved EC2 instance, with fast access from the same region.;Monitored at every level- Our servers are monitored at the server, host, and network levels and we have at least two engineers on-call at all times. Problems are responded to within minutes — not hours — and are often diagnosed and fixed before they become serious.;Deep insight- Our dashboard graphs your server’s health and performance metrics for every single command. Diagnose performance issues, optimize your use of Redis, and predict problems before they occur.;Real engineers, real support- With RedisGreen, you get direct access to the engineers who built RedisGreen. We’ve been running large-scale Redis servers for years and can answer any Redis-related questions you have.;Easy master / slave setups- Slave servers are an excellent way to increase the reliability and availability of your Redis-based systems. With RedisGreen, you can create and manage slaves right from the dashboard.;Hourly backups- Servers are backed up every hour. You can use backups to roll back your server to any point in time or audit the prior state of your Redis server.<br>
Written at LinkedIn in Scala;Used by LinkedIn to offload processing of all page and other views;Defaults to using persistence, uses OS disk cache for hot data (has higher throughput then any of the above having persistence enabled);Supports both on-line as off-line processing
Statistics
GitHub Stars
-
GitHub Stars
31.2K
GitHub Forks
-
GitHub Forks
14.8K
Stacks
14
Stacks
24.2K
Followers
26
Followers
22.3K
Votes
1
Votes
607
Pros & Cons
Pros
  • 1
    Heroku Add-on
Pros
  • 126
    High-throughput
  • 119
    Distributed
  • 92
    Scalable
  • 86
    High-Performance
  • 66
    Durable
Cons
  • 32
    Non-Java clients are second-class citizens
  • 29
    Needs Zookeeper
  • 9
    Operational difficulties
  • 5
    Terrible Packaging
Integrations
Amazon EC2
Amazon EC2
Heroku
Heroku
No integrations available

What are some alternatives to RedisGreen, Kafka?

RabbitMQ

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

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

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

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

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

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

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

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

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.

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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