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Histats VS Kafka Streams

Compare Histats VS Kafka Streams and see what are their differences

LiveSession
LiveSession helps you analyze users’ behavior, improve UX, find JS bugs, and increase conversion rates using session replays, and event-based product analytics. featured
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Histats logo Histats

Start tracking your visitors in 1 minute!

Kafka Streams logo Kafka Streams

Apache Kafka: A Distributed Streaming Platform.
  • Histats Landing page
    Landing page //
    2023-04-29
  • Kafka Streams Landing page
    Landing page //
    2022-11-21

Histats features and specs

  • Real-Time Analytics
    Histats offers real-time tracking and analytics, allowing users to monitor visitor interactions and site performance without delay.
  • User-Friendly Interface
    The platform provides an easy-to-navigate dashboard that is accessible to users of all technical skill levels.
  • Detailed Reporting
    Histats delivers comprehensive reports that include metrics such as page views, unique visitors, and bounce rates.
  • Customizable Widgets
    Users can customize tracking widgets to align with their site’s design and specific informational needs.
  • Free Plan Available
    Histats provides a free plan that includes basic features suitable for smaller websites and personal blogs.

Possible disadvantages of Histats

  • Data Privacy Concerns
    Like many analytics tools, Histats collects user data which might raise privacy concerns, especially with GDPR compliance.
  • Limited Advanced Features
    While suitable for basic analytics, Histats may lack some advanced features required by larger businesses or data-heavy applications.
  • Ad-Supported Free Version
    The free version of Histats might include advertisements which can be distracting or unprofessional for a business setting.
  • Less Popular
    Compared to industry giants like Google Analytics, Histats is less popular, which might mean fewer third-party tutorial resources and community support.
  • Potential Downtime
    Users have reported occasional downtime or slow loading times for the analytics dashboard, which can hinder real-time monitoring.

Kafka Streams features and specs

  • Scalability
    Kafka Streams is designed to scale horizontally, allowing you to handle large volumes of data by distributing processing across multiple nodes.
  • Integration with Kafka
    Kafka Streams is part of the Apache Kafka ecosystem, providing seamless integration with Kafka topics for both input and output, simplifying data pipeline creation.
  • Exactly-once semantics
    Kafka Streams offers exactly-once processing semantics, which ensures data consistency and accuracy in scenarios where data duplication or loss is unacceptable.
  • Microservices Architecture
    It supports microservices architecture by allowing developers to build lightweight stream processing applications that are easy to deploy and manage.
  • Stateful and Stateless Processing
    Supports both stateful (requiring state storage and access) and stateless processing, providing flexibility in stream processing capabilities.
  • Fault Tolerant
    Kafka Streams is designed to be fault-tolerant, automatically recovering from failures and resuming processing without data loss.

Possible disadvantages of Kafka Streams

  • Complexity
    Setting up and configuring Kafka Streams can be complex, requiring a good understanding of Apache Kafka, stream processing principles, and application logic.
  • Resource Intensive
    Kafka Streams can be resource-intensive, demanding sufficient CPU and memory resources, especially when dealing with high-volume data streams.
  • Java Specific
    Primarily designed for Java applications, which may limit its ease of use for teams or projects that are based in other programming languages.
  • Limited UI Tools
    Lacks advanced UI tools for monitoring and managing stream applications, which can make it challenging for users to oversee and troubleshoot applications.
  • Slow Start-up Time
    Kafka Streams applications can have relatively slow start-up times, which might impact scenarios requiring quick deployment and scaling.

Analysis of Histats

Overall verdict

  • Histats is generally considered a good option for those looking for a cost-effective and straightforward analytics solution. However, it might lack some advanced features needed by larger businesses, such as in-depth data segmentation and integration capabilities offered by more robust platforms like Google Analytics.

Why this product is good

  • Histats is a web analytics tool that provides detailed statistics about website visitors. It is known for being user-friendly with an intuitive interface, and it offers real-time analytics. The service is free, which makes it accessible to smaller websites and individual users. Histats provides essential features like visitor statistics, referrer tracking, and geo-location data all within an easy-to-navigate dashboard.

Recommended for

    Small to medium-sized websites, bloggers, individual site owners, and those seeking a free tool to gain basic insights into their web traffic and visitor behavior without the need for complex analytics capabilities.

Histats videos

+ Add

Cara Pasang Histats di Wordpress Terbaru

More videos:

  • Tutorial - How to Create Account & Add Website | Histats.com | Part-1
  • Tutorial - How To Ad Visitor Counter Histats On Your Website Code/Wordpress/Blogger/Pak Streaming

Kafka Streams videos

+ Add

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Review - Big Data Analytics in Near-Real-Time with Apache Kafka Streams - Allen Underwood
  • Review - Spring Tips: Spring Cloud Stream Kafka Streams

Category Popularity

0-100% (relative to Histats and Kafka Streams)

Histats

Kafka Streams

Analytics
91 91%
Analytics
9% 9
Stream Processing
0 0%
Stream Processing
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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Social recommendations and mentions

Based on our record, Kafka Streams seems to be more popular. It has been mentiond 14 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.

Histats mentions (0)

We have not tracked any mentions of Histats yet. Tracking of Histats recommendations started around Mar 2021.

Kafka Streams mentions (14)

  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 1 year ago
  • Forward Compatible Enum Values in API with Java Jackson
    We’re not discussing the technical details behind the deduplication process. It could be Apache Flink, Apache Spark, or Kafka Streams. Anyway, it’s out of the scope of this article. - Source: dev.to / over 2 years ago
  • Kafka Internals - Learn kafka in-depth (Part-1)
    In pub-sub systems, you cannot have multiple services to consume the same data because the messages are deleted after being consumed by one consumer. Whereas in Kafka, you can have multiple services to consume. This opens the door to a lot of opportunities such as Kafka streams, Kafka connect. We’ll discuss these at the end of the series. - Source: dev.to / over 2 years ago
  • Event streaming in .Net with Kafka
    Internally, Streamiz use the .Net client for Apache Kafka released by Confluent and try to provide the same features than Kafka Streams. There is gap between these two library, but the trend is decreasing after each release. - Source: dev.to / over 2 years ago
  • Apache Pulsar vs Apache Kafka - How to choose a data streaming platform
    Both Kafka and Pulsar provide some kind of stream processing capability, but Kafka is much further along in that regard. Pulsar stream processing relies on the Pulsar Functions interface which is only suited for simple callbacks. On the other hand, Kafka Streams and ksqlDB are more complete solutions that could be considered replacements for Apache Spark or Apache Flink, state-of-the-art stream-processing... - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing Histats and Kafka Streams, you can also consider the following products

StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

AFSAnalytics - AFSAnalytics.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Woopra - Track your customers' web and mobile activity, forms, emails, support tickets and more, all in one place with customer analytics. Analyze and take action.

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

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