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Kafka vs VerneMQ: What are the differences?
Developers describe Kafka as "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. On the other hand, VerneMQ is detailed as "VerneMQ is a distributed IoT/MQTT message broker". VerneMQ is a distributed MQTT message broker, implemented in Erlang/OTP It's open source, and Apache 2 licensed. VerneMQ implements the MQTT 3.1, 3.1.1 and 5.0 specifications..
Kafka and VerneMQ can be categorized as "Message Queue" tools.
Some of the features offered by Kafka are:
- 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)
On the other hand, VerneMQ provides the following key features:
- Open Source, Apache 2 licensed
- QoS 0, QoS 1, QoS 2
- MQTT v5.0 fully implemented
Kafka and VerneMQ are both open source tools. It seems that Kafka with 12.7K GitHub stars and 6.81K forks on GitHub has more adoption than VerneMQ with 1.76K GitHub stars and 189 GitHub forks.
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Learn MorePros of Kafka
Pros of VerneMQ
Pros of Kafka
- High-throughput125
- Distributed119
- Scalable89
- High-Performance83
- Durable65
- Publish-Subscribe37
- Simple-to-use19
- Open source17
- Written in Scala and java. Runs on JVM11
- Message broker + Streaming system8
- Avro schema integration4
- Robust4
- KSQL4
- Suport Multiple clients2
- Partioned, replayable log2
- Flexible1
- Extremely good parallelism constructs1
- Simple publisher / multi-subscriber model1
- Fun1
Pros of VerneMQ
- Fully open source clustering1
- Proxy Protocol support1
- Open Source Plugin System1
- Open Source Message and Metadata Persistence1
- MQTT v5 implementation1
- Open source shared subscriptions1
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Cons of Kafka
Cons of VerneMQ
Cons of Kafka
- Non-Java clients are second-class citizens29
- Needs Zookeeper27
- Operational difficulties7
- Terrible Packaging2
Cons of VerneMQ
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- No public GitHub repository available -
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 VerneMQ?
VerneMQ is a distributed MQTT message broker, implemented in Erlang/OTP.
It's open source, and Apache 2 licensed. VerneMQ implements the MQTT 3.1, 3.1.1 and 5.0 specifications.
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Jobs that mention Kafka and VerneMQ as a desired skillset
What companies use Kafka?
What companies use VerneMQ?
What companies use Kafka?
What companies use VerneMQ?
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What tools integrate with Kafka?
What tools integrate with VerneMQ?
What tools integrate with Kafka?
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What are some alternatives to Kafka and VerneMQ?
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.