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Apache Kafka VS Enqueue It

Compare Apache Kafka VS Enqueue It and see what are their differences

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  3. » Reviews
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Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Enqueue It logo Enqueue It

Easy and scalable solution for manage and execute background tasks seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.
  • Apache Kafka Landing page
    Landing page //
    2022-10-01
  • Enqueue It Jobs page
    Jobs page //
    2024-02-20
  • Enqueue It Microservice activity
    Microservice activity //
    2024-02-20
  • Enqueue It Job details
    Job details //
    2024-02-20

Enqueue It

Easy and scalable solution for managing and executing background tasks and microservices seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.

Designed to support distributed systems, enabling you to scale your background processes and microservices across multiple servers. With advanced features like performance monitoring, exception logging, and integration with various storage types, providing complete control and visibility over your workflow.

Provides a user-friendly web dashboard that allows you to monitor and manage your jobs and microservices from a centralized location. You can easily check the status of your tasks, troubleshoot issues, and optimize performance.

Benefits and Features

  • Schedule and queue background jobs and microservices
  • Run multiple servers for increased performance and reliability
  • Monitor CPU and memory usage of microservices
  • Log exceptions to help find bugs and memory leaks
  • Connect to multiple storage types for optimal performance:
    • Main storage (Redis) for active jobs and services
    • Long-term storage (SQL databases such as SQL Server, PostgreSQL, MySQL, and more) for completed jobs and job history
  • Web dashboard for monitoring jobs and microservices

Packages

EnqueueIt is available for both .NET and Go.

The .NET packages support all EnqueueIt functionality, including the web dashboard and background jobs, which are exclusively available in the .NET package. The Go package was created as a lightweight alternative for running the EnqueueIt server, enabling the execution of microservices and seamless data synchronization between Redis and SQL databases. Additionally, the Go package supports the enqueueing and scheduling of microservices from Go, as well as the feature of reading microservice arguments.

Apache Kafka features and specs

  • High Throughput
    Kafka is capable of handling thousands of messages per second due to its distributed architecture, making it suitable for applications that require high throughput.
  • Scalability
    Kafka can easily scale horizontally by adding more brokers to a cluster, making it highly scalable to serve increased loads.
  • Fault Tolerance
    Kafka has built-in replication, ensuring that data is replicated across multiple brokers, providing fault tolerance and high availability.
  • Durability
    Kafka ensures data durability by writing data to disk, which can be replicated to other nodes, ensuring data is not lost even if a broker fails.
  • Real-time Processing
    Kafka supports real-time data streaming, enabling applications to process and react to data as it arrives.
  • Decoupling of Systems
    Kafka acts as a buffer and decouples the production and consumption of messages, allowing independent scaling and management of producers and consumers.
  • Wide Ecosystem
    The Kafka ecosystem includes various tools and connectors such as Kafka Streams, Kafka Connect, and KSQL, which enrich the functionality of Kafka.
  • Strong Community Support
    Kafka has strong community support and extensive documentation, making it easier for developers to find help and resources.

Possible disadvantages of Apache Kafka

  • Complex Setup and Management
    Kafka's distributed nature can make initial setup and ongoing management complex, requiring expert knowledge and significant administrative effort.
  • Operational Overhead
    Running Kafka clusters involves additional operational overhead, including hardware provisioning, monitoring, tuning, and scaling.
  • Latency Sensitivity
    Despite its high throughput, Kafka may experience increased latency in certain scenarios, especially when configured for high durability and consistency.
  • Learning Curve
    The concepts and architecture of Kafka can be difficult for new users to grasp, leading to a steep learning curve.
  • Hardware Intensive
    Kafka's performance characteristics often require dedicated and powerful hardware, which can be costly to procure and maintain.
  • Dependency Management
    Managing Kafka's dependencies and ensuring compatibility between versions of Kafka, Zookeeper, and other ecosystem tools can be challenging.
  • Limited Support for Small Messages
    Kafka is optimized for large throughput and can be inefficient for applications that require handling a lot of small messages, where overhead can become significant.
  • Operational Complexity for Small Teams
    Smaller teams might find the operational complexity and maintenance burden of Kafka difficult to manage without a dedicated operations or DevOps team.

Enqueue It features and specs

No features have been listed yet.

Apache Kafka videos

+ Add

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

Enqueue It videos

+ Add

Installation and Basics

More videos:

Category Popularity

0-100% (relative to Apache Kafka and Enqueue It)

Apache Kafka

Enqueue It

Stream Processing
89 89%
Stream Processing
11% 11
Data Integration
87 87%
Data Integration
13% 13
Web Service Automation
100 100%
Web Service Automation
0% 0
Microservices Tools
0 0%
Microservices Tools
100% 100

Questions and Answers

As answered by people managing Apache Kafka and Enqueue It.

How would you describe your primary audience?

Enqueue It's answer:

dotnet and golang software engineers

What makes your product unique?

Enqueue It's answer:

  • It can be connected to memory and sql databases where the processing can be done fast in memory and when jobs is processed or failed the data synced to sql database to keep up the high performance.
  • It can also run and monitor golang microservices from donet app or even from other golang apps and can monitor the cpu and memory activity of those microservices.

Why should a person choose your product over its competitors?

Enqueue It's answer:

It is completely opensource and free. the performance is unbeatable. it has no servers or apps limit when it come to be used in distribution systems.

Which are the primary technologies used for building your product?

Enqueue It's answer:

dotnet golang redis postgresql mysql sqlserver oracle

User comments

Share your experience with using Apache Kafka and Enqueue It. For example, how are they different and which one is better?
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Reviews

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

Apache Kafka Reviews

Best ETL Tools: A Curated List
Debezium is an open-source Change Data Capture (CDC) tool that originated from RedHat. It leverages Apache Kafka and Kafka Connect to enable real-time data replication from databases. Debezium was partly inspired by Martin Kleppmann’s "Turning the Database Inside Out" concept, which emphasized the power of the CDC for modern data pipelines.
Source: estuary.dev
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

Enqueue It Reviews

We have no reviews of Enqueue It yet.
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Social recommendations and mentions

Based on our record, Apache Kafka seems to be more popular. It has been mentiond 142 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.

Apache Kafka mentions (142)

View more

Enqueue It mentions (0)

We have not tracked any mentions of Enqueue It yet. Tracking of Enqueue It recommendations started around Feb 2024.

What are some alternatives?

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

RabbitMQ - RabbitMQ is an open source message broker software.

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

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

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

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

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

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