Software Alternatives & Reviews

Slicing Pie VS Apache Kafka

Compare Slicing Pie VS Apache Kafka and see what are their differences

Slicing Pie logo Slicing Pie

Perfect equity splits for Bootstrapped Startups

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
  • Slicing Pie Landing page
    Landing page //
    2023-03-07
  • Apache Kafka Landing page
    Landing page //
    2022-10-01

Slicing Pie videos

Slicing Pie Review, Demo + Tutorial I Create a fair equity split, bootstrapped startup company

More videos:

  • Review - The Perfect Equity Split: Slicing Pie by Mike Moyer
  • Review - Understanding Slicing Pie Fair Founder Equity Splits

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

Category Popularity

0-100% (relative to Slicing Pie and Apache Kafka)
Databases
13 13%
87% 87
Data Integration
0 0%
100% 100
Business Productivity
100 100%
0% 0
Stream Processing
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 Slicing Pie and Apache Kafka

Slicing Pie Reviews

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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

Social recommendations and mentions

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

Slicing Pie mentions (40)

  • Ask HN: Easy way to issue equity if you don't have a (Delaware) C-corp
    You could try https://slicingpie.com/, but in practice I found it burdensome. - Source: Hacker News / 6 months ago
  • Has anyone actually started a successful tech company as a side hustle?
    Since we were new to one another, we used the Slicing Pie methodology and monitored one another for progress and reasonableness in their reporting of time spent. Once we realized that we were both consistently committed to the project, we did a static split of equity and were on our way. Source: 11 months ago
  • Seeking Advice: Starting a Company and Equity Distribution
    Take a look at slicingpie.com as others have suggested. Source: 12 months ago
  • Startup taking on partner/co-founder with Sales/CEO function - advice on sharing it
    - ABSOLUTELY do vesting with one year cliff as others mentioned. Do NOT commit to 49% of the get-go just in case he has a change of heart in a few months... An alternative option is the Slicing Pie approach: https://slicingpie.com/ . Slicing pie is more complicated however it is fairer and will allow you to add more people. Source: 12 months ago
  • How does royalties/revenue share work exactly?
    The slicing pie model might work (https://slicingpie.com/) for you depending on how far you are along. I am using this for a rev share project and we all feel it covered things pretty well. Source: 12 months ago
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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 / 4 months ago
View more

What are some alternatives?

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

OctoSQL - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. - cube2222/octosql

RabbitMQ - RabbitMQ is an open source message broker software.

Freelancer.com - Search for jobs related to Www freelancer com homepage or hire on the world's largest freelancing marketplace with 12m+ jobs. It's free to sign up and bid on jobs.

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

GainKnowHow.com - Formalize your organization's latent knowledge web.

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