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Apache Kafka VS Heroku

Compare Apache Kafka VS Heroku and see what are their differences

Apache Kafka logo Apache Kafka

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

Heroku logo Heroku

Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
  • Apache Kafka Landing page
    Landing page //
    2022-10-01
  • Heroku Landing page
    Landing page //
    2023-10-05

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

Heroku videos

What is Heroku | Ask a Dev Episode 14

More videos:

Category Popularity

0-100% (relative to Apache Kafka and Heroku)
Data Integration
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Stream Processing
100 100%
0% 0
Cloud Hosting
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 Apache Kafka and Heroku

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

Heroku Reviews

  1. Useful Cloud Platform

    Great service to build, run and manage applications entirely in the cloud!

    🏁 Competitors: Amazon AWS, Dokku on Digital Ocean, Firebase
    👍 Pros:    Easy user interface|Good customer service|Multi-language cloud application platform
    👎 Cons:    Limitation with some addons|Low network performance
  2. 🏁 Competitors: Docker, Amazon AWS
    👍 Pros:    Powerful development environments|Great value for the money|Great customer support|Paas

2023 Firebase Alternatives: Top 10 Open-Source & Free
Heroku Postgres – Majority of businesses like Heroku because of its SQL database support. Yes, PostgreSQL as a service is an appealing product of this PaaS vendor with quick deployment approaches.
5 Free Heroku Alternatives with Free Plan for Developers
Koyeb is a decent alternative to Heroku that you can consider for hosting or deploying your web apps and APIs. It has all the features of Heroku that you will need for your projects. So far, I have not encountered an importer tool for migrating Heroku deployments but I am sure doing that manually will not be that hard. Just like Heroku it offers you an intuitive web UI as...
Choosing the best Next.js hosting platform
However, there are a few disadvantages to Heroku. First of all, despite its build pack, Heroku will run your project as a Node.js application. As a result, you will lose some of Next.js’ most interesting features, such as Incremental Static Regeneration. Analytics are replaced by metrics and measured throughput, response time, and memory usage (only on paid plans).
Top 10 Netlify Alternatives
Heroku is another alternative to Netlify that doesn’t only host static websites but has the ability to host dynamic websites. This PaaS platform was launched in 2007 and conferred highly scalable features to deploy, host and launch applications.
The Best Cloud Hosting Providers for Elixir Phoenix
There are two different ways to deploy a Phoenix app on Heroku. You can use Heroku buildpacks or the Heroku container stack. For testing, we followed the Deploying on Heroku guide from the Phoenix docs to deploy Phoenix and Postgres using the Heroku container stack and Docker. We created our Phoenix app, updated for releases, added Heroku environment variable config, and...
Source: staknine.com

Social recommendations and mentions

Based on our record, Apache Kafka should be more popular than Heroku. 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.

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 2 months 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 / 3 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 / 4 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 / 4 months ago
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Heroku mentions (71)

  • How to keep an HTTP connection alive for 9 hours
    The app is deployed to Heroku and when it came time to switch the mode to email-on-account-creation mode, it was a very simple environment change:. - Source: dev.to / 7 months ago
  • How to Process Scheduled Queue Jobs in Node.js with BullMQ and Redis on Heroku
    Heroku is a cloud platform that makes it easy to deploy and scale web applications. It provides a number of features that make it ideal for deploying background job applications, including:. - Source: dev.to / 9 months ago
  • I made a Bot.. How do I use it?
    Once you've created it you can host it locally (this means leaving the program running on your computer) or host it through a service online. I haven't personally tried this yet, but I believe you can use a site like heroku.com or other similar services. Source: 11 months ago
  • Making AJAX Applications Crawlable? How to build a simple web service on Google App Engine to produce HTML Snapshots?
    I have my app hosted on Heroku, who (to my knowledge) are unable to offer a solution for running a Headless (GUI-less) Browser - such as HTMLUnit - for generating HTML Snapshots for Googlebot to index my AJAX content. Source: 12 months ago
  • Engineers who have a personal website/blog, what are you using to host/generate it?
    Over the years, I’ve gone from Time Warner’s Road Runner, to Tumblr, to GitHub Pages, to Godaddy hosted WordPress. Though, after Godaddy messed up a migration, I switched to self-hosting on Heroku. I wrote my blog engine using Crystal. Reference: ejstembler.com. Source: about 1 year ago
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What are some alternatives?

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

RabbitMQ - RabbitMQ is an open source message broker software.

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

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

Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

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.

Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.Sign up to Linode through SaaSHub and get a $100 in credit!