RethinkDB VS Apache Kafka

RethinkDB Reviews

Apache Kafka Reviews

RethinkDB mentions (12)

• Ask HN: How Can I Make My Front End React to Database Changes in Real-Time?

  Throwing RethinkDB in the mix as well. https://rethinkdb.com/. - Source: Hacker News / 18 days ago

• You forget RethinkDB, it's a shame

  I've been poking around, testing and breaking database servers for a long time (more than 20 years today). But a few years ago I came across a jewel, the grail, one of the best solutions available. Under the radar, shunned for whatever reason, RethinkDB is nonetheless one of the finest database server projects I've ever tested. - Source: dev.to / about 1 year ago

• Ask HN: Anyone Using RethinkDB in Production?

  RethinkDB[0] looks like a "too good to be true" type of database. Anyone using it in production? What is your experience like? What are the pros and cons? [0] https://rethinkdb.com. - Source: Hacker News / about 1 year ago

• Help wanted for a project idea - A multi-room live chat experience, similar to Twitch chat's functionality

  Since you’re not new to the field you might want to peek https://rethinkdb.com/ since it got picked up as an open source project. Source: over 1 year ago

• Python, the usefulness of "dataclass"

  A Data Objects represents data which can be saved inside a database. This concept is in the heart of SQLAlchemy, but as the name should be obvious: it's for SQL Database (in general). Today, there are now document databases too (like MongoDB, ArangoDB, RethinkDB that I love so much, or even PostgreSQL). So, a "data" is like a "structured and typed document" that you save "as is". That's not the same paradigm, not... - Source: dev.to / almost 2 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 / 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 / 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