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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Oracle PL/SQL vs Riak

Oracle PL/SQL vs Riak

OverviewComparisonAlternatives

Overview

Riak
Riak
Stacks103
Followers137
Votes44
GitHub Stars4.0K
Forks535
Oracle PL/SQL
Oracle PL/SQL
Stacks748
Followers598
Votes8

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

<Write Introduction here>
  1. Data Model: Oracle PL/SQL follows a relational database model, while Riak follows a distributed key-value data model, which makes it suitable for handling massive amounts of unstructured data efficiently.

  2. Consistency: Oracle PL/SQL provides strong consistency guarantees, ensuring that data is always accurate and up-to-date, while Riak offers eventual consistency by default, which may result in temporarily inconsistent data under certain circumstances.

  3. Scalability: Oracle PL/SQL scales vertically by adding more resources to a single server, while Riak scales horizontally by distributing data across multiple nodes, allowing for linear growth and better performance.

  4. Query Language: Oracle PL/SQL uses SQL for querying and manipulating data, supporting complex join operations and ad-hoc queries, whereas Riak offers a simple key-based API for data retrieval and storage, making it more suitable for applications requiring high performance and low latency.

  5. Transaction Support: Oracle PL/SQL provides robust transaction support with features like ACID properties to ensure data integrity during concurrent operations, whereas Riak focuses on high availability and partition tolerance, sacrificing some transactional guarantees for better fault tolerance and scalability.

  6. Deployment Complexity: Oracle PL/SQL requires a dedicated database server setup, configuration, and maintenance, while Riak can be easily deployed on a cluster of commodity hardware without complicated infrastructure requirements, simplifying the deployment process for large-scale applications.

In Summary, Oracle PL/SQL is a relational database system with strong consistency guarantees, whereas Riak is a distributed key-value store focusing on horizontal scalability and eventual consistency.

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Detailed Comparison

Riak
Riak
Oracle PL/SQL
Oracle PL/SQL

Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.

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.

Statistics
GitHub Stars
4.0K
GitHub Stars
-
GitHub Forks
535
GitHub Forks
-
Stacks
103
Stacks
748
Followers
137
Followers
598
Votes
44
Votes
8
Pros & Cons
Pros
  • 14
    High Performance
  • 11
    High Availability
  • 9
    Easy Scalability
  • 5
    Flexible
  • 1
    Distributed
Pros
  • 2
    Powerful
  • 2
    Multiple ways to accomplish the same end
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Not mysql
  • 1
    Pl/sql
Cons
  • 2
    High commercial license cost
Integrations
No integrations available
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java

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

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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