Software Alternatives & Reviews

Apache Kafka VS Firebase

Compare Apache Kafka VS Firebase 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.

Firebase logo Firebase

Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
  • Apache Kafka Landing page
    Landing page //
    2022-10-01
  • Firebase Landing page
    Landing page //
    2023-10-20

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

Firebase videos

Is Firebase a Good Long Term Solution?

More videos:

Category Popularity

0-100% (relative to Apache Kafka and Firebase)
Data Integration
100 100%
0% 0
Developer Tools
0 0%
100% 100
Stream Processing
100 100%
0% 0
App Development
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 Firebase

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

Firebase Reviews

Best Serverless Backend Tools of 2023: Pros & Cons, Features & Code Examples
That’s a wrap: 6 best serverless backend for your next project! If you like Firebase, check out Rowy, our Firebase content management system.
Source: www.rowy.io
What is AWS Amplify? - AWS Amplify Alternatives
The Google Firebase feature set includes a wide variety of components, some of which are file storage, application programming interfaces (APIs), cloud hosting, intelligent analytics, and real-time databases.
Source: mindmajix.com
2023 Firebase Alternatives: Top 10 Open-Source & Free
Although Firebase has some limitations, many online web and mobile applications are still running on Firebase. Likewise, BuiltWith confirms that 396,531 live websites on the internet utilize Firebase. Correspondingly, 2953 companies and 32113 developers claim to use Firebase for different tech stacks on StackShare.
THE BEST 34 APP DEVELOPMENT SOFTWARE IN 2022 LIST
With Google’s Firebase, you can build apps fast, without managing infrastructure. Firebase gives you functionality like analytics, databases, messaging and crash reporting so you can move quickly and focus on your users. Firebase is built on Google infrastructure and scales automatically, for even the largest apps. Firebase offers great integrations with Google Ads, Admob,...
Convex vs. Firebase
"Firebase" actually refers to two separate products: Firebase Realtime Database and Cloud Firestore. This discussion focuses on Cloud Firestore because it's the newer, more scalable Firebase offering.
Source: docs.convex.dev

Social recommendations and mentions

Based on our record, Firebase should be more popular than Apache Kafka. It has been mentiond 246 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 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 / 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 / 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

Firebase mentions (246)

  • Mastering Firebase: A Comprehensive Guide to CRUD Operations
    Firebase, a well-known backend platform, is widely utilized for building Serverless or Headless web and mobile applications. This discussion will delve into executing comprehensive CRUD (Create, Read, Update, Delete) operations within Firebase. CRUD operations serve as fundamental building blocks for both web and mobile applications. To initiate this process, create a new project in the Firebase Console.... - Source: dev.to / about 2 months ago
  • What is really an API? Examples, Code + History
    For example, you can rely on the powerful OAuth by Okta to handle your Auth services, Flutterwave payment gateway to accept payment, and Google Firebase Messaging to manage notifications. - Source: dev.to / about 2 months ago
  • The 2024 Web Hosting Report
    Backend as a Service (BaaS) goes back to early 2010’s with companies like Parse and Firebase. These products integrated everything a backend provides to a webapp in a single, integrated package that makes it easier to get started and enables you to offload some of the devops maintenance work to someone else. - Source: dev.to / 2 months ago
  • How to Do Authorization - A Decision Framework: Part 1
    Google Firebase is one of the pioneers to integrate access policies into the database. It's a NoSQL data store that holds documents in collections and allows you to define security rules for object access. When making queries and mutations, Firebase checks if the request operates over objects the user can access and rejects it if it does not. - Source: dev.to / 4 months ago
  • Hacktoberfest Week 4 PR
    TanyaAja is an anonymous question bank platform. Once set up, you can get your own web app where others can submit questions to you. Those who post questions are authenticated via Firebase, and their questions are stored in your Notion database. It also uses Next.js and Shadcn UI. The default templates to set up the app is in Indonesian, but users are able to customize these templates to change the wordings. - Source: dev.to / 6 months ago
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What are some alternatives?

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

RabbitMQ - RabbitMQ is an open source message broker software.

Supabase - An open source Firebase alternative

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

OneSignal - Customer engagement platform used by over 1 million developers and marketers; the fastest and most reliable way to send mobile and web push notifications, in-app messages, emails, and SMS.

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

Android Studio - Android development environment based on IntelliJ IDEA