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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. Beam vs Samza

Beam vs Samza

OverviewComparisonAlternatives

Overview

Samza
Samza
Stacks24
Followers62
Votes0
GitHub Stars832
Forks333
Akutan
Akutan
Stacks6
Followers32
Votes0
GitHub Stars1.7K
Forks105

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CLI (Node.js)
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Detailed Comparison

Samza
Samza
Akutan
Akutan

It allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka.

A distributed knowledge graph store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world.

HIGH PERFORMANCE; HORIZONTALLY SCALABLE; EASY TO OPERATE; WRITE ONCE, RUN ANYWHERE; PLUGGABLE ARCHITECTURE
-
Statistics
GitHub Stars
832
GitHub Stars
1.7K
GitHub Forks
333
GitHub Forks
105
Stacks
24
Stacks
6
Followers
62
Followers
32
Votes
0
Votes
0
Integrations
Presto
Presto
Datadog
Datadog
Woopra
Woopra
Kubernetes
Kubernetes
Golang
Golang
Make
Make
Visual Studio Code
Visual Studio Code
Docker
Docker
Kafka
Kafka
RocksDB
RocksDB
gRPC
gRPC
OpenTracing
OpenTracing
Homebrew
Homebrew

What are some alternatives to Samza, Akutan?

Kafka

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

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

Neo4j

Neo4j

Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.

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.

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