Mixpanel VS Apache Kafka

Mixpanel Reviews

1. Deepak Kumar

   | Technical Reviewer at A/B Testing | over 3 years ago
   Mixpanel helps track user behavior and measure success for your application

   I recommend Mixpanel to anyone who needs to do tracking of user behavior in web applications in order to measure against goals.

   🏁 Competitors: VWO, Optimizely, Convertize.io, Picreel

   👍 Pros:    Easy to use|Powerful analytics|Tracks every user actions

   👎 Cons:    Dashboard is complex|Pricing is too high|Hard to implement own data

Apache Kafka Reviews

Mixpanel mentions (22)

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Mixpanel — 100,000 monthly tracked users, unlimited data history and seats, US or EU data residency. - Source: dev.to / 4 months ago

• What do I do after ProductHunt?

  You can test sales copy with Mixpanel to see where your traffic is coming from so you can see which content (Informative or promotional) generates the most engagement. Source: 7 months ago

• Essential Product Metrics Every Startup Founder Should Know

  Custom Data Collection As you grow you can consider a bit more precise configurations and data analytics approachs. Implement custom data collection through or event tracking for example via Mixpanel. This allows you to capture specific metrics tailored to your product's unique needs. - Source: dev.to / 11 months ago

• What issues / painpoints have you experienced with current Analytics Platforms? Mixpanel, Plausible etc.

  I am looking into whether you have experienced any pain points or issues not solved by current analytics platforms. By current solutions I'm talking plausible.io, mixpanel.com, usermaven.com and alike, providing features such as: total visitors, page views, online users, custom events tracking, top sources. Source: over 1 year ago

• Ask HN: What’s your startup’s analytics setup? (2023)

  Ten years ago, there was a popular Ask HN: "what's your startup’s analytics setup?” [0]. Like the poster then (malandrew), I have the same problem in 2023: Selecting analytics solutions for the startup I'm working at has proven to be more daunting than I imagined. There are many services to choose from and it's not immediately obvious how you should choose from the many offerings to get not only complete analytics... - Source: Hacker News / 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 / 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