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  1. Stackups
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  4. Databases
  5. DuckDB vs Oracle PL/SQL

DuckDB vs Oracle PL/SQL

OverviewComparisonAlternatives

Overview

Oracle PL/SQL
Oracle PL/SQL
Stacks749
Followers598
Votes8
DuckDB
DuckDB
Stacks49
Followers60
Votes0

DuckDB vs Oracle PL/SQL: What are the differences?

Differences between DuckDB and Oracle PL/SQL

DuckDB and Oracle PL/SQL are both database systems, but they have several key differences.

  1. Performance: DuckDB is designed for analytical queries and excels at processing large datasets quickly. It achieves this through vectorized query execution and efficient columnar storage. On the other hand, Oracle PL/SQL is primarily designed for transactional processing and is optimized for handling small to medium-sized datasets efficiently.

  2. Ease of use: DuckDB focuses on simplicity and ease of use. It provides a user-friendly SQL interface and can easily be integrated into existing applications. Oracle PL/SQL, on the other hand, has a steeper learning curve and requires more specialized knowledge to use effectively.

  3. Scalability: DuckDB is horizontally scalable, meaning it can handle increased workloads by adding more machines to the system. It utilizes a shared-nothing architecture that allows for distributed processing of queries. In contrast, Oracle PL/SQL is vertically scalable, meaning it can handle increased workloads by adding more resources to the existing machine.

  4. Data types: DuckDB supports a wide range of data types, including integers, floating-point numbers, strings, dates, and arrays. It also has built-in support for complex data types like JSON and geospatial data. Oracle PL/SQL supports similar data types but also provides additional specialized data types, such as XML and BLOB.

  5. Concurrency control: DuckDB uses optimistic concurrency control by default, allowing multiple transactions to proceed without blocking each other. It uses a timestamp-based mechanism to detect conflicts and rollback transactions if necessary. On the other hand, Oracle PL/SQL uses a combination of row-level locks and multi-versioning to ensure data consistency in multi-user environments.

  6. Cost: DuckDB is an open-source database system and is available free of cost. It can be easily downloaded and used without any licensing fees. Oracle PL/SQL, on the other hand, is a commercial product that requires a license and may involve additional costs for support and maintenance.

In summary, DuckDB and Oracle PL/SQL differ in terms of performance, ease of use, scalability, data types, concurrency control, and cost. While DuckDB is optimized for analytical queries and offers simplicity and scalability, Oracle PL/SQL is geared towards transactional processing and provides a wider range of specialized data types.

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Detailed Comparison

Oracle PL/SQL
Oracle PL/SQL
DuckDB
DuckDB

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.

It is an embedded database designed to execute analytical SQL queries fast while embedded in another process. It is designed to be easy to install and easy to use. DuckDB has no external dependencies. It has bindings for C/C++, Python and R.

-
Embedded database; Designed to execute analytical SQL queries fast; No external dependencies
Statistics
Stacks
749
Stacks
49
Followers
598
Followers
60
Votes
8
Votes
0
Pros & Cons
Pros
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Pl/sql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
Cons
  • 2
    High commercial license cost
No community feedback yet
Integrations
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java
Python
Python
C++
C++
R Language
R Language

What are some alternatives to Oracle PL/SQL, DuckDB?

MongoDB

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.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

GraphQL

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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