Software Alternatives & Reviews

Sidekiq VS Apache Kafka

Compare Sidekiq VS Apache Kafka and see what are their differences

Sidekiq logo Sidekiq

Sidekiq is a simple, efficient framework for background job processing in Ruby

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
  • Sidekiq Landing page
    Landing page //
    2023-04-28
  • Apache Kafka Landing page
    Landing page //
    2022-10-01

Sidekiq

Categories
  • Ruby On Rails
  • Ruby
  • Background Processing
  • Queueing, Messaging And Background Processing
Website sidekiq.org
Pricing URL Official Sidekiq Pricing
Details $

Apache Kafka

Categories
  • Stream Processing
  • Data Integration
  • ETL
  • Web Service Automation
  • Monitoring Tools
Website kafka.apache.org
Pricing URL-
Details $

Sidekiq videos

Sidekiq Review: Influencer Marketing Software (Platform)

More videos:

  • Review - Mike Perham, Creator of Sidekiq
  • Review - RailsConf 2015 - Processes and Threads - Resque vs. Sidekiq

Apache Kafka videos

Apache Kafka Tutorial | What is Apache Kafka? | Kafka Tutorial for Beginners | Edureka

More videos:

  • Review - Apache Kafka - Getting Started - Kafka Multi-node Cluster - Review Properties
  • Review - 4. Apache Kafka Fundamentals | Confluent Fundamentals for Apache Kafka®
  • Review - Apache Kafka in 6 minutes
  • Review - Apache Kafka Explained (Comprehensive Overview)
  • Review - 2. Motivations and Customer Use Cases | Apache Kafka Fundamentals

Category Popularity

0-100% (relative to Sidekiq and Apache Kafka)
Ruby On Rails
100 100%
0% 0
Data Integration
9 9%
91% 91
Stream Processing
9 9%
91% 91
Web Service Automation
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Sidekiq and Apache Kafka

Sidekiq Reviews

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Apache Kafka Reviews

Best message queue for cloud-native apps
If you take the time to sort out the history of message queues, you will find a very interesting phenomenon. Most of the currently popular message queues were born around 2010. For example, Apache Kafka was born at LinkedIn in 2010, Derek Collison developed Nats in 2010, and Apache Pulsar was born at Yahoo in 2012. What is the reason for this?
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
Apache Kafka is a highly scalable and robust messaging queue system designed by LinkedIn and donated to the Apache Software Foundation. It's ideal for real-time data streaming and processing, providing high throughput for publishing and subscribing to records or messages. Kafka is typically used in scenarios that require real-time analytics and monitoring, IoT applications,...
Source: blog.iron.io
10 Best Open Source ETL Tools for Data Integration
It is difficult to anticipate the exact demand for open-source tools in 2023 because it depends on various factors and emerging trends. However, open-source solutions such as Kubernetes for container orchestration, TensorFlow for machine learning, Apache Kafka for real-time data streaming, and Prometheus for monitoring and observability are expected to grow in prominence in...
Source: testsigma.com
11 Best FREE Open-Source ETL Tools in 2024
Apache Kafka is an Open-Source Data Streaming Tool written in Scala and Java. It publishes and subscribes to a stream of records in a fault-tolerant manner and provides a unified, high-throughput, and low-latency platform to manage data.
Source: hevodata.com
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
One of the biggest drawbacks of Apache Kafka is the architecture that makes it so efficient. The combination of brokers and ZooKeeper nodes, along with numerous configurable options, can make it difficult and complex for new teams to set up and manage without encountering performance issues or data loss. However, Kafka can work without ZooKeeper after 3.3.1 version using...
Source: gcore.com

Social recommendations and mentions

Based on our record, Apache Kafka should be more popular than Sidekiq. It has been mentiond 120 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Sidekiq mentions (20)

  • 3 one-person million dollar online businesses
    Sidekiq https://sidekiq.org/: This one started as an open source project, once it got enough traction, the developer made a premium version of it, and makes money by selling licenses to businesses. Source: 5 months ago
  • We built the fastest CI in the world. It failed
    > I'm not sure feature withholding has traditionally worked out well in the developer space. I think it's worked out well for Sidekiq (https://sidekiq.org). I really like their model of layering valuable features between the OSS / Pro / Enterprise licenses. - Source: Hacker News / 7 months ago
  • Organize Business Logic in Your Ruby on Rails Application
    The code above isn't idempotent. If you run it twice, it will create two copies, which is probably not what you intended. Why is this important? Because most backend job processors like Sidekiq don't make any guarantees that your jobs will run exactly once. - Source: dev.to / 11 months ago
  • An M1 for Curl
    Relevant Patio11 comment from 2016: > We don't donate to OSS software which we use, because we're legally not allowed to. > I routinely send key projects, particularly smaller projects, a request to quote me a commercial license of their project, with the explanation that I would accept a quote of $1,000 and that the commercial license can be their existing OSS license plus an invoice. My books suggest we've spent... - Source: Hacker News / over 1 year ago
  • How to run a really long task from a Rails web request
    So how do we trigger such a long-running process from a Rails request? The first option that comes to mind is a background job run by some of the queuing back-ends such as Sidekiq, Resque or DelayedJob, possibly governed by ActiveJob. While this would surely work, the problem with all these solutions is that they usually have a limited number of workers available on the server and we didn’t want to potentially... - Source: dev.to / about 2 years ago
View more

Apache Kafka mentions (120)

  • Empowering Real-Time Data Pipelines: Leveraging Apache Kafka and Rudderstack
    In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / about 1 month ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 2 months ago
  • How to Use Reductstore as a Data Sink for Kafka
    Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 3 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    *Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago
  • How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
    RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Sidekiq and Apache Kafka, you can also consider the following products

Hangfire - An easy way to perform background processing in .NET and .NET Core applications.

RabbitMQ - RabbitMQ is an open source message broker software.

Resque - Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.

Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.

delayed_job - Database based asynchronous priority queue system -- Extracted from Shopify - collectiveidea/delayed_job

Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.