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Apache Hive VS Ansible

Compare Apache Hive VS Ansible and see what are their differences

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Unimus is a Network Automation and Configuration management (NCM) solution designed for fast deployment network-wide and ease of use. Unimus does not require learning any abstraction or templating languages, and does not require any coding skills. featured
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Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

Ansible logo Ansible

Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine
  • Apache Hive Landing page
    Landing page //
    2023-01-13
  • Ansible Landing page
    Landing page //
    2023-02-05

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.

Ansible features and specs

  • Agentless
    Ansible is agentless, meaning it doesn't require any software to be installed on the remote nodes. This simplifies management and reduces overhead.
  • Ease of Use
    Ansible uses a simple, easy-to-read YAML syntax for its playbooks, reducing the learning curve and making it accessible to those without extensive programming experience.
  • Scalability
    Ansible is designed to handle large-scale deployments, making it suitable for managing numerous machines or services efficiently.
  • Extensive Modules
    Ansible has a rich library of modules that support a wide variety of system tasks, cloud providers, and application deployments, offering great versatility.
  • Strong Community
    There is a large and active Ansible community that contributes to its development and provides support, which can be valuable for troubleshooting and learning best practices.
  • Idempotency
    Tasks in Ansible are idempotent, meaning they can be run multiple times without changing the system beyond the intended final state, ensuring reliable deployments.

Possible disadvantages of Ansible

  • Performance Overhead
    Being agentless, Ansible relies on SSH for communication with nodes, which can add performance overhead, especially when managing a large number of hosts.
  • Limited Windows Support
    Ansible's core is primarily designed for Unix-like systems, and while there is support for Windows, it's not as robust or as seamless as it is for Unix/Linux systems.
  • Lack of Built-in Error Handling
    Ansible's error handling is somewhat rudimentary out-of-the-box. Complex error handling scenarios often require custom solutions, which can complicate playbooks.
  • Learning Curve for Complex Scenarios
    While simple tasks are easy to set up, more complex configurations can become challenging quickly and may require a deep understanding of Ansible's modules and templating.
  • Reliance on YAML
    The use of YAML, while human-readable, can be prone to syntax errors such as incorrect indentation, which can potentially lead to hard-to-track-down bugs.
  • Dependency on Python
    Ansible requires Python to be installed on managed nodes. This could be an issue in environments where it's not feasible or desired to have Python installed.

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

Ansible videos

+ Add

What Is Ansible? | How Ansible Works? | Ansible Tutorial For Beginners | DevOps Tools | Simplilearn

More videos:

  • Review - Automation with Ansible Playbooks | Review on Ansible Architecture
  • Review - Book Review : Mastering Ansible (Jesse Keating) by Zareef Ahmed

Category Popularity

0-100% (relative to Apache Hive and Ansible)

Apache Hive

Ansible

Databases
100 100%
Databases
0% 0
DevOps Tools
0 0%
DevOps Tools
100% 100
Big Data
100 100%
Big Data
0% 0
Continuous Integration
0 0%
Continuous Integration
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 Apache Hive and Ansible

Apache Hive Reviews

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Ansible Reviews

What Are The Best Alternatives To Ansible? | Attune, Jenkins &, etc.
To put it simply, Ansible automates a wide range of IT aspects that includes configuration management, application deployment, cloud provisioning, etc. Plus, while using Ansible, you can patch your application, automate deployments, and run compliances and governance on your application. You can easily manage it by using a web interface known as Ansible Tower. Furthermore,...
Source: www.apzomedia.com
Best 8 Ansible Alternatives & equivalent in 2022
Ansible is a simple IT automation tool that is easy to deploy. It connects to your nodes and pushes out small programs called “Ansible modules” to those nodes. Then it executes these models over SSH and removes them when finished. The library of modules will reside on any machine, therefore there is no requirement for any servers and databases.
Source: www.guru99.com
Top 5 Ansible Alternatives in 2022: Server Automation Solutions by Alexander Fashakin on the 19th Aug 2021 facebook Linked In Twitter
Your project connects to Ansible through nodes called Ansible Modules. You can use these modules to manage your project. As an agentless architecture, Ansible allows you to run modules on any system or server. It doesn’t require client/server software or an agent to be installed. With Ansible, you can use Python Paramiko modules or SSH protocols.
Source: www.servertribe.com
Ansible vs Chef: What’s the Difference?
For Ansible, Simplilearn presents the Ansible Foundation Training Course. Ansible 2.0, a simple, popular, agent-free tool in the automation domain, helps increase team productivity and improve business outcomes. Learn with
Source: www.simplilearn.com
Chef vs Puppet vs Ansible
Ansible supports considerable ease of learning for the management of configurations due to YAML as the foundation language. YAML (Yet Another Markup Language) is closely similar to English and is human-readable. The server can help in pushing configurations to all the nodes. The applications of Ansible are clearly suitable for real-time execution along with the facility of...
Source: www.whizlabs.com

Social recommendations and mentions

Ansible might be a bit more popular than Apache Hive. We know about 9 links to it since March 2021 and only 8 links to Apache Hive. 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.

Apache Hive mentions (8)

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Ansible mentions (9)

  • Mentorship Group
    We are open to practice using any open-source project, however, we want to set a sharp focus on projects maintained by the Red Hat, and our own projects in the Caravana Cloud organization on github. If there is no reason to do differently, we'll build using technologies such as OpenShift, Quarkus, Ansible and related projects. - Source: dev.to / almost 2 years ago
  • Observability Mythbusters: Yes, Observability-Landscape-as-Code is a Thing
    *Codifying the deployment of the OTel Collector *(to Nomad, Kubernetes, or a VM) using tools such as Terraform, Pulumi, or Ansible. The Collector funnels your OTel data to your Observability back-end. ✅. - Source: dev.to / over 2 years ago
  • Maintenance mode - vmware.vmware_rest Ansible collection
    Most of what I've learnt today was purley from this blog and only because it's from ansible.com - dated now I guess ... Source: almost 3 years ago
  • Proactive Kubernetes Monitoring with Alerting
    I installed the helm release using Ansible, but you can install with the following helm commands:. - Source: dev.to / almost 3 years ago
  • Cannot run a playbook in crontab - Python error
    [root@ansible ~]# pip show ansible Name: ansible Version: 2.9.25 Summary: Radically simple IT automation Home-page: https://ansible.com/ Author: Ansible, Inc. Author-email: info@ansible.com License: GPLv3+ Location: /usr/lib/python2.7/site-packagesRequires: jinja2, PyYAML, cryptography Required-by:. Source: over 3 years ago
View more

What are some alternatives?

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

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

Chef - Automation for all of your technology. Overcome the complexity and rapidly ship your infrastructure and apps anywhere with automation.

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

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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

Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.

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