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Apache Archiva VS Apache Pig

Compare Apache Archiva VS Apache Pig and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Apache Archiva logo Apache Archiva

Apache Archiva is an extensible repository management software.

Apache Pig logo Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop.
  • Apache Archiva Landing page
    Landing page //
    2019-04-29
  • Apache Pig Landing page
    Landing page //
    2021-12-31

Apache Archiva features and specs

  • Open Source
    Apache Archiva is open source software, which means it's free to use and has a community of developers contributing to its improvement.
  • Centralized Repository Management
    Archiva provides a centralized system for managing and serving artifacts, simplifying the distribution of build artifacts within an organization.
  • Support for Multiple Repository Formats
    It supports multiple repository formats such as Maven, and others, allowing versatility in handling different types of artifacts.
  • Extensive REST API
    Archiva includes a comprehensive REST API, facilitating integration with other tools and automation of repository management tasks.
  • User Management and Role-Based Access Control
    It offers a user management system with role-based access control, enhancing security and enabling the definition of user permissions.
  • Artifact Search Feature
    Archiva provides a powerful search feature that helps users quickly find the artifacts they need.

Possible disadvantages of Apache Archiva

  • Complex Setup
    The initial setup and configuration of Apache Archiva can be complex and time-consuming, especially for those not familiar with similar tools.
  • Performance Issues
    Some users report performance issues when handling large amounts of artifacts or under heavy load.
  • Limited Documentation
    While basic documentation is available, it can sometimes be lacking in depth, making troubleshooting and advanced setups challenging.
  • Less Active Development
    Compared to other repository management tools, Apache Archiva may have less frequent updates and a smaller community, sometimes leading to slower adoption of new features.
  • Interface Usability
    The user interface, while functional, may not be as intuitive or modern compared to some other repository management solutions.

Apache Pig features and specs

  • Simplicity
    Apache Pig provides a high-level scripting language called Pig Latin that is much easier to write and understand than complex MapReduce code, enabling faster development time.
  • Abstracts Hadoop Complexity
    Pig abstracts the complexity of Hadoop, allowing developers to focus on data processing rather than worrying about the intricacies of Hadoop’s underlying mechanisms.
  • Extensibility
    Pig allows user-defined functions (UDFs) to process various types of data, giving users the flexibility to extend its functionality according to their specific requirements.
  • Optimized Query Execution
    Pig includes a rich set of optimization techniques that automatically optimize the execution of scripts, thereby improving performance without needing manual tuning.
  • Error Handling and Debugging
    The platform has an extensive error handling mechanism and provides the ability to make debugging easier through logging and stack traces, making it simpler to troubleshoot issues.

Possible disadvantages of Apache Pig

  • Performance Limitations
    While Pig simplifies writing MapReduce operations, it may not always offer the same level of performance as hand-optimized, low-level MapReduce code.
  • Limited Real-Time Processing
    Pig is primarily designed for batch processing and may not be the best choice for real-time data processing requirements.
  • Steeper Learning Curve for SQL Users
    Developers who are already familiar with SQL might find Pig Latin to be less intuitive at first, resulting in a steeper learning curve for building complex data transformations.
  • Maintenance Overhead
    As Pig scripts grow in complexity and number, maintaining and managing these scripts can become challenging, particularly in large-scale production environments.
  • Growing Obsolescence
    With the rise of more versatile and performant Big Data tools like Apache Spark and Hive, Pig’s relevance and community support have been on the decline.

Apache Archiva videos

+ Add

How to install and configure apache archiva in AWS EC2

More videos:

  • Review - Apache Archiva new UI Quick start

Apache Pig videos

+ Add

Pig Tutorial | Apache Pig Script | Hadoop Pig Tutorial | Edureka

More videos:

  • Review - Simple Data Analysis with Apache Pig

Category Popularity

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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 Archiva and Apache Pig

Apache Archiva Reviews

Repository Management Tools
Archiva, yet another tool from the Apache family of software offerings – It is an extensible Repository management software that provides its help in taking care of the enterprise-wide build artifact repository. An incoming request with a virtual repository or a repository group URL – Archiva would look for the requested artifact from the repositories under that specific...
Source: mindmajix.com
What is Artifactory?
Archiva is an extensible repository management program that assists in the management of the enterprise-wide build artifact repository. It is another product from the Apache family of software solutions. An incoming request containing a virtual repository or a repository group URL would cause Archiva to search the repositories under that group for the requested artifact....
Source: blog.packagecloud.io

Apache Pig Reviews

We have no reviews of Apache Pig yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Pig seems to be more popular. It has been mentiond 2 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.

Apache Archiva mentions (0)

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

Apache Pig mentions (2)

  • In One Minute : Hadoop
    Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 2 years ago
  • Spark is lit once again
    In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / over 3 years ago

What are some alternatives?

When comparing Apache Archiva and Apache Pig, you can also consider the following products

highlight.js - Highlight.js is a syntax highlighter written in JavaScript. It works in the browser as well as on the server.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Apache Tika - Apache Tika toolkit detects and extracts metadata and text from different file types.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Asklayer - Get real answers from your customers with Asklayers surveys, quizzes, polls and more. Works on any website with zero code and includes enterprise level features such auto-segmentation, user tagging, branching, NPS & CSAT calculation.

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

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