Kafka vs simplehttp vs Starling





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?

What is Starling?

Starling is a powerful but simple messaging server that enables reliable distributed queuing with an absolutely minimal overhead. It speaks the MemCache protocol for maximum cross-platform compatibility. Any language that speaks MemCache can take advantage of Starling's queue facilities.

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Why do developers choose Kafka?
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Why do developers choose Starling?
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      What are the cons of using Kafka?
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      What are the cons of using Starling?
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          What companies use Kafka?
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          What tools integrate with Kafka?
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          What tools integrate with Starling?
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              What are some alternatives to Kafka, simplehttp, and Starling?
              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 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 is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.
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              Decisions about Kafka, simplehttp, and Starling
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              How developers use Kafka, simplehttp, and Starling
              Avatar of Pinterest
              Pinterest uses KafkaKafka


              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?
              How much does Starling cost?
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