Kafka
Kafka

3.2K
2.6K
460
simplehttp
simplehttp

1
4
0
Add tool

Kafka vs simplehttp: What are the differences?

What is Kafka? Distributed, fault tolerant, high throughput pub-sub messaging system. Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

What is simplehttp? A family of libraries and daemons built upon libevent that make high performance HTTP servers simple and straightforward to write. .

Kafka and simplehttp can be primarily classified as "Message Queue" tools.

Kafka and simplehttp are both open source tools. It seems that Kafka with 12.7K GitHub stars and 6.81K forks on GitHub has more adoption than simplehttp with 480 GitHub stars and 73 GitHub forks.

What is Kafka?

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

What is simplehttp?

Want advice about which of these to choose?Ask the StackShare community!

Why do developers choose Kafka?
Why do developers choose simplehttp?
    Be the first to leave a pro

    Sign up to add, upvote and see more prosMake informed product decisions

    What are the cons of using Kafka?
    What are the cons of using simplehttp?
      Be the first to leave a con
      What companies use Kafka?
      What companies use simplehttp?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Kafka?
      What tools integrate with simplehttp?
        No integrations found

        Sign up to get full access to all the tool integrationsMake informed product decisions

        What are some alternatives to Kafka and simplehttp?
        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.
        RabbitMQ
        RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
        Amazon Kinesis
        Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.
        Apache Spark
        Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
        Akka
        Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.
        See all alternatives
        Decisions about Kafka and simplehttp
        No stack decisions found
        Interest over time
        Reviews of Kafka and simplehttp
        No reviews found
        How developers use Kafka and simplehttp
        Avatar of Pinterest
        Pinterest uses KafkaKafka

        http://media.tumblr.com/d319bd2624d20c8a81f77127d3c878d0/tumblr_inline_nanyv6GCKl1s1gqll.png

        Front-end messages are logged to Kafka by our API and application servers. We have batch processing (on the middle-left) and real-time processing (on the middle-right) pipelines to process the experiment data. For batch processing, after daily raw log get to s3, we start our nightly experiment workflow to figure out experiment users groups and experiment metrics. We use our in-house workflow management system Pinball to manage the dependencies of all these MapReduce jobs.

        Avatar of Coolfront Technologies
        Coolfront Technologies uses KafkaKafka

        Building out real-time streaming server to present data insights to Coolfront Mobile customers and internal sales and marketing teams.

        Avatar of ShareThis
        ShareThis uses KafkaKafka

        We are using Kafka as a message queue to process our widget logs.

        Avatar of Christopher Davison
        Christopher Davison uses KafkaKafka

        Used for communications and triggering jobs across ETL systems

        Avatar of theskyinflames
        theskyinflames uses KafkaKafka

        Used as a integration middleware by messaging interchanging.

        How much does Kafka cost?
        How much does simplehttp cost?
        Pricing unavailable
        Pricing unavailable
        News about simplehttp
        More news