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Microsoft Azure VS Apache Hive

Compare Microsoft Azure VS Apache Hive and see what are their differences

Hive
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Microsoft Azure logo Microsoft Azure

Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.

Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
  • Microsoft Azure Landing page
    Landing page //
    2023-04-10
  • Apache Hive Landing page
    Landing page //
    2023-01-13

Microsoft Azure features and specs

  • Scalability
    Azure offers a highly scalable environment where you can easily adjust compute resources to match your needs.
  • Global Reach
    Azure has multiple data centers around the globe, providing extensive global coverage for applications and services.
  • Integration with Microsoft Products
    Azure integrates seamlessly with existing Microsoft software like Office 365, Active Directory, and Windows Server.
  • Compliance
    Azure adheres to a broad set of international standards and compliance certifications, including GDPR, ISO, and many others.
  • Service Offerings
    Azure provides a wide variety of services, from virtual machines to databases and AI-powered functionalities.
  • Hybrid Solutions
    Azure supports hybrid cloud configurations, allowing businesses to run some resources on-premises and some in the cloud.
  • Security
    Azure employs advanced security protocols and has multiple layers of security, including data encryption and secure access controls.

Possible disadvantages of Microsoft Azure

  • Cost Management
    The pricing structure can be complex and may lead to unexpected costs if not carefully managed.
  • Learning Curve
    New users may find Azure challenging to learn due to its extensive range of services and configurations.
  • Service Limits
    Some Azure services have limitations and quotas, which can hinder performance or scalability if reached.
  • Support Costs
    While Azure offers robust support, advanced support plans can be expensive.
  • Complexity in Hybrid Setup
    Setting up and managing a hybrid environment can be technically challenging and may require specialized skills.
  • Downtime Risks
    Although rare, Azure is not immune to outages and downtime, which can impact service availability.
  • Data Migration
    Migrating data and services into Azure can be complicated and may require significant planning and resources.

Apache Hive features and specs

  • Scalability
    Apache Hive is built on top of Hadoop, allowing it to efficiently handle large datasets by distributing the load across a cluster of machines.
  • SQL-like Interface
    Hive provides a familiar SQL-like querying language, HiveQL, which makes it easier for users with SQL knowledge to perform data analysis on large datasets without needing to learn a new syntax.
  • Integration with Hadoop Ecosystem
    Hive integrates seamlessly with other components of the Hadoop ecosystem such as HDFS for storage and MapReduce for processing, making it a versatile tool for big data processing.
  • Schema on Read
    Hive uses a schema-on-read model which allows it to work with flexible data schemas and handle unstructured or semi-structured data efficiently.
  • Extensibility
    Users can extend Hive's capabilities by writing custom UDFs (User Defined Functions), UDAFs (User Defined Aggregate Functions), and SerDes (Serializers/ Deserializers).

Possible disadvantages of Apache Hive

  • Latency in Query Processing
    Queries in Hive often take longer to execute compared to traditional databases, as they are converted to MapReduce jobs which can introduce significant latency.
  • Limited Real-time Processing
    Hive is designed for batch processing and is not suitable for real-time analytics due to its reliance on MapReduce, which is not optimized for low-latency operations.
  • Complex Configuration
    Setting up Hive and configuring it to work optimally within a Hadoop cluster can be complex and require a significant amount of effort and expertise.
  • Lack of Support for Transactions
    Hive does not natively support full ACID transactions, which can be a limitation for applications that require consistent transaction management across large datasets.
  • Dependency on Hadoop
    Hive's reliance on the Hadoop ecosystem means it inherits some of Hadoop's limitations, such as a steep learning curve and the need for substantial resources to manage a cluster.

Microsoft Azure videos

+ Add

Building your first Azure Blockchain Workbench application

More videos:

  • Review - How does Microsoft Azure work?
  • Review - Introduction to Azure Blockchain Workbench
  • Review - Microsoft Azure Overview
  • Review - Bots and Azure Blockchain Workbench
  • Tutorial - What Is Azure? | Microsoft Azure Tutorial For Beginners | Microsoft Azure Training | Simplilearn

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

Category Popularity

0-100% (relative to Microsoft Azure and Apache Hive)

Microsoft Azure

Apache Hive

Cloud Computing
100 100%
Cloud Computing
0% 0
Databases
0 0%
Databases
100% 100
Cloud Infrastructure
100 100%
Cloud Infrastructure
0% 0
Big Data
0 0%
Big Data
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 Microsoft Azure and Apache Hive

Microsoft Azure Reviews

Top 15 MuleSoft Competitors and Alternatives
The Azure API Management platform has over a million APIs for modernizing legacy apps to adopting API-first strategies from on-premises to multi-cloud. Thousands of the world’s largest enterprises use the solution to build, secure, and scale API initiatives.
Source: bstrategyhub.com
20 Best Free Website Hosting (July 2023)
New users can usually receive a free site credit at the largest cloud services like Microsoft Azure, Amazon Web Services, and Google Cloud Platform to get started. However, when these free credits expire, cloud products can be quite expensive and out of the price range of many projects.
Source: www.hostingadvice.com
AWS vs Azure Which is best for your career?
This course provides the key knowledge required to prepare for Exam AZ-204: Developing Solutions for Microsoft Azure. You will learn how to develop and deploy cloud applications on Azure using various Azure services.
Source: www.netcomlearning.com
Top 10 Best Container Software in 2022
Tool Cost/Plan Details: There is no upfront cost. Azure does not charge for cluster management. It charges only for what you use. It has Pricing for nodes model. Based on your container needs, you can get the price estimator through Container Services calculator.
Source: www.softwaretestinghelp.com
Top 50 Cheapest Cloud Services Providers | Affordable Cloud Hosting
With direct competitors like AWS, Microsoft Azure has been one of the most preferred and also cheapest cloud services providers. The plan that Azure submit depends on the services a business seeks to access. Azure cloud platform includes over 200 products and cloud services to assist businesses in bringing new solutions to life—to solve today’s challenges and create the...
Source: makeanapplike.com

Apache Hive Reviews

We have no reviews of Apache Hive yet.
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Social recommendations and mentions

Based on our record, Microsoft Azure should be more popular than Apache Hive. It has been mentiond 66 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.

Microsoft Azure mentions (66)

  • How to Develop a Voice Chatbot
    Microsoft Azure offers a Bot Framework with built-in support for voice interactions via the Speech SDK. - Source: dev.to / 9 months ago
  • Setting Up a Windows 11 Virtual Machine with Azure on a MacOs
    The first step in creating a virtual machine is getting a Microsoft account. Once you have a Microsoft account click this link to create an Azure free trial account. Click on the "Try Azure for free" button. This takes you to the page below. - Source: dev.to / about 1 year ago
  • How To Create Windows 11 Virtual Machine in Azure
    Before you start, ensure you have an active Azure subscription, if you don't have one, Click here to create a free account. - Source: dev.to / about 1 year ago
  • The 2024 Web Hosting Report
    A VM is the original “hosting” product of the cloud era. Over the last 20 years, VM providers have come and gone, as have enterprise virtualization solutions such as VMware. Today you can do this somewhere like OVHcloud, Hetzner or DigitalOcean, which took over the “server” market from the early 2000’s. Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft's Azure also offer VMs, at a less... - Source: dev.to / over 1 year ago
  • Deploying flask app to Kubernetes using Minikube
    Before deploying the application with Kubernetes, you need to containerize the application using docker. This article shows how to deploy a Flask application on Ubuntu 22.04 using Minikube; a Kubernetes tool for local deployment for testing and free offering. Alternatively, you can deploy your container apps using Cloud providers such as GCP(Google Cloud), Azure(Microsoft) or AWS(Amazon). - Source: dev.to / over 1 year ago
View more

Apache Hive mentions (8)

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What are some alternatives?

When comparing Microsoft Azure and Apache Hive, you can also consider the following products

Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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