Litecoin VS Apache Kafka

Litecoin Reviews

Apache Kafka Reviews

Litecoin mentions (34)

• The number of LTC addresses is skyrocketing!

  The price of Litecoin just barely went over its 2017 peak, which to many sounds bad, although 80-90% of all cryptocurrencies failed during the 2018 bear run, so litecoin has still beat the majority of the market. Source: 11 months ago

• Do LTC MWEB transaction fees go up proportionally to regular transaction fees?

  But, it's quite easy to go, download Litecoin Core and play with it. (https://litecoin.org/). Source: about 1 year ago

• A Deep Dive Into Tokenization

  A crypto coin is simply a digital coin, created for making payments. Coins are created to act like money: in other words, they represent a unit of account, store of value, and medium of transfer. Crypto coins tend to take the form of their native blockchain, like with Bitcoin (BTC), Bitcoin Cash (BCH), Litecoin (LTC) and Monero (XMR). Source: about 1 year ago

• LiteCoin till October!

  Yes. And harder to mine. The reward for miners becomes 6 coins instead of the twelve you receive when proofing (finding) a block. The value does happen right away.. It takes years of people collecting and holding. The amount of coins will remain the same. Not like the US government who can print money at will. 😂 Litecoin.org. Source: over 1 year ago

• Litecoin Records Certain Milestones In 2022 Despite The General Downtrend

  According to a Litecoin tweeter post, The Litecoin Network completed over 39 million transactions in 2022. Source: over 1 year 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 / 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