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

Samza vs Sparrow

OverviewComparisonAlternatives

Overview

Sparrow
Sparrow
Stacks6
Followers11
Votes0
Samza
Samza
Stacks24
Followers62
Votes0
GitHub Stars832
Forks333

Samza vs Sparrow: What are the differences?

What is Samza? A distributed stream processing framework. Samza allows you to build stateful applications that process data in real-time from multiple sources including Apache Kafka.

What is Sparrow? A really fast lightweight queue written in Ruby that speaks memcache. Sparrow keeps messages in memory, but persists them to disk, using Sqlite, when the queue is shutdown.

Samza and Sparrow can be categorized as "Message Queue" tools.

Samza is an open source tool with 565 GitHub stars and 243 GitHub forks. Here's a link to Samza's open source repository on GitHub.

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Detailed Comparison

Sparrow
Sparrow
Samza
Samza

Sparrow keeps messages in memory, but persists them to disk, using Sqlite, when the queue is shutdown.

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

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HIGH PERFORMANCE; HORIZONTALLY SCALABLE; EASY TO OPERATE; WRITE ONCE, RUN ANYWHERE; PLUGGABLE ARCHITECTURE
Statistics
GitHub Stars
-
GitHub Stars
832
GitHub Forks
-
GitHub Forks
333
Stacks
6
Stacks
24
Followers
11
Followers
62
Votes
0
Votes
0
Integrations
No integrations available
Presto
Presto
Datadog
Datadog
Woopra
Woopra

What are some alternatives to Sparrow, Samza?

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.

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.

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