Azure Event Hub and Kafka

Murali Krishna Vysyaraju (TOGAF Certified) Murali Krishna Vysyaraju (TOGAF Certified)

Murali Krishna Vysyaraju (TOGAF Certified)

Assistant Vice President - Genpact

发布日期: 2016年4月23日
+ 关注

Any organization/ architect/ technology decision maker that wants to set up a massively scalable distributed event driven messaging platform with multiple producers and consumers – needs to know about the relative pros and cons of Azure Event Hub and Kafka. This article will focus on comparing them – both qualitatively and quantitatively. If you already know a lot of Kafka or Event Hub, it will help you choose one for your need. If you have not yet played around with them, it will clear up a thing or two.

要查看或添加评论，请登录

Murali Krishna Vysyaraju (TOGAF Certified)的更多文章

  • The 7 Steps of a Data Project
    2016年8月8日

    The 7 Steps of a Data Project

    Becoming data driven is about this: knowing the basic steps and following them to go from raw data to building a…

    2 条评论
  • What Is the “Thing” in the IoT?
    2016年7月27日

    What Is the “Thing” in the IoT?

    Everyone talks about the Internet of Things. And sure, you know what the Internet is (you’re soaking in it!).

  • Cloud Platform Comparison
    2016年7月25日

    Cloud Platform Comparison

    Please refer the below url for complete information - https://endjincdn.blob.

  • Data Lake VS Data Warehouse
    2016年7月22日

    Data Lake VS Data Warehouse

    Which Should You Choose? A core component of business intelligence, the data warehouse is a central repository of…

    1 条评论
  • Apache Spark vs. Apache Drill
    2016年5月25日

    Apache Spark vs. Apache Drill

    There are some similarities between the two projects. Apache Drill and Apache Spark are both distributed computation…

  • Internet of Things VS Internet
    2016年5月25日

    Internet of Things VS Internet

  • Hadoop and the Data Warehouse: When to Use Which
    2016年3月25日

    Hadoop and the Data Warehouse: When to Use Which

    Hadoop and the data warehouse will often work togehter in a single information supply chain. When it comes to Big data,…

    6 条评论
  • Data Vault Modeling
    2016年3月13日

    Data Vault Modeling

    Data Vault Modeling Article The Data Vault is a detail oriented, historical tracking and uniquely linked set of…

    1 条评论
  • SQL Server database migration to SQL Database in the cloud
    2016年3月2日

    SQL Server database migration to SQL Database in the cloud

    In this article you learn to how to migrate an on-premises SQL Server 2005 or later database to Azure SQL Database. In…

  • Spring XD: The Foundation for Real-time Streaming and Machine Learning Systems
    2016年1月9日

    Spring XD: The Foundation for Real-time Streaming and Machine Learning Systems

    Spring XD addresses the new demands of big data and real-time data pipelining, but it sets a foundation for much more…

社区洞察

其他会员也浏览了