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Hadoop

2.1K
2.1K
+ 1
55
Microsoft Azure

19.5K
12.9K
+ 1
766
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Hadoop vs Microsoft Azure: What are the differences?

Developers describe Hadoop as "Open-source software for reliable, scalable, distributed computing". The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. On the other hand, Microsoft Azure is detailed as "Integrated cloud services and infrastructure to support computing, database, analytics, mobile, and web scenarios". Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

Hadoop can be classified as a tool in the "Databases" category, while Microsoft Azure is grouped under "Cloud Hosting".

"Great ecosystem" is the top reason why over 34 developers like Hadoop, while over 108 developers mention "Scales well and quite easy" as the leading cause for choosing Microsoft Azure.

Hadoop is an open source tool with 9.4K GitHub stars and 5.85K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.

According to the StackShare community, Microsoft Azure has a broader approval, being mentioned in 712 company stacks & 2315 developers stacks; compared to Hadoop, which is listed in 309 company stacks and 623 developer stacks.

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Pros of Hadoop
Pros of Microsoft Azure
  • 38
    Great ecosystem
  • 11
    One stack to rule them all
  • 4
    Great load balancer
  • 1
    Amazon aws
  • 1
    Java syntax
  • 113
    Scales well and quite easy
  • 95
    Can use .Net or open source tools
  • 81
    Startup friendly
  • 73
    Startup plans via BizSpark
  • 62
    High performance
  • 38
    Wide choice of services
  • 32
    Lots of integrations
  • 32
    Low cost
  • 31
    Reliability
  • 19
    Twillio & Github are directly accessible
  • 13
    RESTful API
  • 10
    Startup support
  • 10
    PaaS
  • 10
    Enterprise Grade
  • 8
    DocumentDB
  • 7
    In person support
  • 6
    Virtual Machines
  • 6
    Free for students
  • 6
    Service Bus
  • 5
    Redis Cache
  • 5
    It rocks
  • 4
    CDN
  • 4
    SQL Databases
  • 4
    Infrastructure Services
  • 4
    Storage, Backup, and Recovery
  • 3
    BizSpark 60k Azure Benefit
  • 3
    Integration
  • 3
    IaaS
  • 3
    HDInsight
  • 3
    Scheduler
  • 3
    Built on Node.js
  • 3
    Big Data
  • 3
    Preview Portal
  • 2
    Backup
  • 2
    Open cloud
  • 2
    Web
  • 2
    SaaS
  • 2
    Big Compute
  • 2
    Mobile
  • 2
    Media
  • 2
    Dev-Test
  • 2
    Storage
  • 2
    StorSimple
  • 2
    Machine Learning
  • 2
    Stream Analytics
  • 2
    Data Factory
  • 2
    Event Hubs
  • 2
    Virtual Network
  • 2
    ExpressRoute
  • 2
    Traffic Manager
  • 2
    Media Services
  • 2
    BizTalk Services
  • 2
    Site Recovery
  • 2
    Active Directory
  • 2
    Multi-Factor Authentication
  • 2
    Visual Studio Online
  • 2
    Application Insights
  • 2
    Automation
  • 2
    Operational Insights
  • 2
    Key Vault
  • 2
    Infrastructure near your customers
  • 2
    Easy Deployment
  • 1
    Enterprise customer preferences
  • 1
    Documentation
  • 1
    Security
  • 1
    Best cloud platfrom
  • 1
    Easy and fast to start with
  • 1
    Remote Debugging

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Cons of Hadoop
Cons of Microsoft Azure
    Be the first to leave a con
    • 6
      Confusing UI
    • 2
      Expensive plesk on Azure

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    What is Hadoop?

    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

    What is Microsoft Azure?

    Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Hadoop?
    What companies use Microsoft Azure?
    See which teams inside your own company are using Hadoop or Microsoft Azure.
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    What tools integrate with Hadoop?
    What tools integrate with Microsoft Azure?

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    Blog Posts

    MySQLKafkaApache Spark+6
    2
    1720
    Aug 28 2019 at 3:10AM

    Segment

    PythonJavaAmazon S3+16
    6
    2247
    JavaScriptGitHubNode.js+26
    19
    4718
    What are some alternatives to Hadoop and Microsoft Azure?
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    Snowflake
    Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
    See all alternatives