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Hadoop

2.5K
2.3K
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56
Oracle PL/SQL

739
580
+ 1
8
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Hadoop vs Oracle PL/SQL: What are the differences?

What is Hadoop? 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.

What is Oracle PL/SQL? It is a combination of SQL along with the procedural features of programming languages. It is available in Oracle Database, TimesTen in-memory database, and IBM DB2. Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database.

Hadoop belongs to "Databases" category of the tech stack, while Oracle PL/SQL can be primarily classified under "Query Languages".

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.

Airbnb, Uber Technologies, and Netflix are some of the popular companies that use Hadoop, whereas Oracle PL/SQL is used by Matrix Absence Management Inc, Pre2000, and CUBE. Hadoop has a broader approval, being mentioned in 309 company stacks & 623 developers stacks; compared to Oracle PL/SQL, which is listed in 12 company stacks and 31 developer stacks.

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Pros of Hadoop
Pros of Oracle PL/SQL
  • 39
    Great ecosystem
  • 11
    One stack to rule them all
  • 4
    Great load balancer
  • 1
    Amazon aws
  • 1
    Java syntax
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Not mysql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
  • 1
    Pl/sql

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Cons of Hadoop
Cons of Oracle PL/SQL
    Be the first to leave a con
    • 2
      High commercial license cost

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    - 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 Oracle PL/SQL?

    It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

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    What companies use Hadoop?
    What companies use Oracle PL/SQL?
    See which teams inside your own company are using Hadoop or Oracle PL/SQL.
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    What tools integrate with Hadoop?
    What tools integrate with Oracle PL/SQL?

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    What are some alternatives to Hadoop and Oracle PL/SQL?
    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