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

DistributedLog vs Samza

OverviewComparisonAlternatives

Overview

Samza
Samza
Stacks24
Followers62
Votes0
GitHub Stars832
Forks333
DistributedLog
DistributedLog
Stacks21
Followers39
Votes0

DistributedLog vs Samza: What are the differences?

What is DistributedLog? High-performance replicated log service, by Twitter. DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems.

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.

DistributedLog and Samza belong to "Message Queue" category of the tech stack.

Some of the features offered by DistributedLog are:

  • High Performance
  • Durable and Consistent
  • Efficient Fan-in and Fan-out

On the other hand, Samza provides the following key features:

  • HIGH PERFORMANCE
  • HORIZONTALLY SCALABLE
  • EASY TO OPERATE

DistributedLog and Samza are both open source tools. It seems that DistributedLog with 2.25K GitHub stars and 283 forks on GitHub has more adoption than Samza with 565 GitHub stars and 243 GitHub forks.

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Detailed Comparison

Samza
Samza
DistributedLog
DistributedLog

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

DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems.

HIGH PERFORMANCE; HORIZONTALLY SCALABLE; EASY TO OPERATE; WRITE ONCE, RUN ANYWHERE; PLUGGABLE ARCHITECTURE
High Performance;Durable and Consistent;Efficient Fan-in and Fan-out;Various Workloads;Multi Tenant;Layered Architecture
Statistics
GitHub Stars
832
GitHub Stars
-
GitHub Forks
333
GitHub Forks
-
Stacks
24
Stacks
21
Followers
62
Followers
39
Votes
0
Votes
0
Integrations
Presto
Presto
Datadog
Datadog
Woopra
Woopra
No integrations available

What are some alternatives to Samza, DistributedLog?

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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