Parse-Server VS Apache Kafka

Parse-Server Reviews

Apache Kafka Reviews

Parse-Server mentions (5)

• What to choose for backend

  If you like headless CMS / Backend As A Service you should consider https://directus.io/ or https://github.com/parse-community/parse-server. Both nodejs and open source. Source: almost 2 years ago

• Any general purpose visualisation "just add the data" framework

  There's numerous standard backends which frontenders could use in simplistic cases to start, say https://github.com/PostgREST/postgrest or https://github.com/parse-community/parse-server. Source: over 2 years ago

• Show HN: Caffeine, minimum viable back end for prototyping

  Parse is still around and supported: https://github.com/parse-community/parse-server. - Source: Hacker News / over 2 years ago

• Ask HN: What Back End Framework with User Management Is Your Favorite?

  I am curious what backend framework you would choose to run with for prototyping an application with run of the mill user management requirements. That is functionality along the lines of: session management, password policies, password reset, user verifications, etc. Sadly it seems there really aren't any frameworks that have user management natively supported. The only one I am aware of is [Parse... - Source: Hacker News / almost 3 years ago

• [Open Source] I made my first app. Its a fully functional social media app. And I decided to open source it.

  I believe you are referring to main.js file. The answer is no. I used parse server for backend. And by default all classes are public which means everyone can read every data. There is a preferred way to prevent this. You disable all class level permissions for every class. Then you put your app logic to cloud code which is main.js file you were looking at. Here is an article about this... Source: about 3 years ago

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 / 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 / 4 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