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Oracle PL/SQL VS Hadoop

Compare Oracle PL/SQL VS Hadoop and see what are their differences

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Oracle PL/SQL logo Oracle PL/SQL

PL/SQL is Oracle's procedural extension to industry-standard SQL.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Oracle PL/SQL Landing page
    Landing page //
    2023-08-26
  • Hadoop Landing page
    Landing page //
    2021-09-17

Oracle PL/SQL features and specs

No features have been listed yet.

Hadoop features and specs

  • Scalability
    Hadoop can easily scale from a single server to thousands of machines, each offering local computation and storage.
  • Cost-Effective
    It utilizes a distributed infrastructure, allowing you to use low-cost commodity hardware to store and process large datasets.
  • Fault Tolerance
    Hadoop automatically maintains multiple copies of all data and can automatically recover data on failure of nodes, ensuring high availability.
  • Flexibility
    It can process a wide variety of structured and unstructured data, including logs, images, audio, video, and more.
  • Parallel Processing
    Hadoop's MapReduce framework enables the parallel processing of large datasets across a distributed cluster.
  • Community Support
    As an Apache project, Hadoop has robust community support and a vast ecosystem of related tools and extensions.

Possible disadvantages of Hadoop

  • Complexity
    Setting up, maintaining, and tuning a Hadoop cluster can be complex and often requires specialized knowledge.
  • Overhead
    The MapReduce model can introduce additional overhead, particularly for tasks that require low-latency processing.
  • Security
    While improvements have been made, Hadoop's security model is considered less mature compared to some other data processing systems.
  • Hardware Requirements
    Though it can run on commodity hardware, Hadoop can still require significant computational and storage resources for larger datasets.
  • Lack of Real-Time Processing
    Hadoop is mainly designed for batch processing and is not well-suited for real-time data analytics, which can be a limitation for certain applications.
  • Data Integrity
    Distributed systems face challenges in maintaining data integrity and consistency, and Hadoop is no exception.

Oracle PL/SQL videos

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Hadoop videos

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What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Category Popularity

0-100% (relative to Oracle PL/SQL and Hadoop)

Oracle PL/SQL

Hadoop

Databases
14 14%
Databases
86% 86
API Tools
100 100%
API Tools
0% 0
Big Data
0 0%
Big Data
100% 100
Digital Drawing And Painting
100 100%
Digital Drawing And Painting
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Oracle PL/SQL and Hadoop

Oracle PL/SQL Reviews

We have no reviews of Oracle PL/SQL yet.
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Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Source: www.analytixlabs.co.in
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment 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. Rather than relying on hardware to deliver high-availability, the library itself is...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Hadoop seems to be more popular. It has been mentiond 22 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.

Oracle PL/SQL mentions (0)

We have not tracked any mentions of Oracle PL/SQL yet. Tracking of Oracle PL/SQL recommendations started around Mar 2021.

Hadoop mentions (22)

  • Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom
    One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / about 2 months ago
  • Apache Hadoop: Pioneering Open Source Innovation in Big Data
    Apache Hadoop is more than just software—it’s a full-fledged ecosystem built on the principles of open collaboration and decentralized governance. Born out of a need to process vast amounts of information efficiently, Hadoop uses a distributed file system and the MapReduce programming model to enable scalable, fault-tolerant computing. Central to its success is a diverse ecosystem that includes influential... - Source: dev.to / about 2 months ago
  • Embracing the Future: India's Pioneering Journey in Open Source Development
    Navya: Designed to streamline administrative processes in educational institutions, Navya continues to demonstrate the power of open source in addressing local needs. Additionally, India’s vibrant tech communities are well represented on platforms like GitHub and SourceForge. These platforms host numerous Indian-led projects and serve as collaborative hubs for developers across diverse technology landscapes.... - Source: dev.to / about 2 months ago
  • Where is Java Used in Industry?
    The rise of big data has seen Java arise as a crucial player in this domain. Tools like Hadoop and Apache Spark are built using Java, enabling businesses to process and analyze massive datasets efficiently. Java’s scalability and performance are critical for big data results that demand high trustability. - Source: dev.to / 5 months ago
  • How to Install PySpark on Your Local Machine
    While Spark doesn’t strictly require Hadoop, many users install it for its HDFS (Hadoop Distributed File System) support. To install Hadoop:. - Source: dev.to / 5 months ago
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What are some alternatives?

When comparing Oracle PL/SQL and Hadoop, you can also consider the following products

MySQL - The world's most popular open source database

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

Prisma - Art filters using artificial intelligence to transform your photos into classic artwork.

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

JSONiq - JSONiq - The JSON Query Language

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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