Overview

Oracle

Stacks2.6K

Followers1.8K

Votes113

Galera Cluster

Stacks54

Followers102

Votes0

Galera Cluster vs Oracle: What are the differences?

# Key Differences between Galera Cluster and Oracle

Galera Cluster and Oracle are two widely used database systems, each with their own unique features and capabilities. Let's explore some key differences between the two:

1. **Data Replication Method**: Galera Cluster uses synchronous multi-master replication, where all nodes in the cluster are active and can accept read and write requests simultaneously. On the other hand, Oracle primarily relies on asynchronous replication, where a primary database sends changes to standby databases periodically.

2. **Licensing Costs**: Oracle is a proprietary database system that requires users to pay for licenses based on factors such as the number of CPU cores, users, and data size. In contrast, Galera Cluster is an open-source solution that is free to use and distribute, making it a cost-effective option for many organizations.

3. **High Availability**: Galera Cluster provides automatic node failure detection and failover mechanisms, ensuring high availability for the database system. Oracle also offers high availability features, but they may require additional configurations and resources to achieve the same level of redundancy.

4. **Ease of Scalability**: Galera Cluster offers seamless horizontal scalability by adding more nodes to the cluster, allowing for increased capacity and performance as the workload grows. Oracle, on the other hand, may require manual partitioning and sharding techniques to achieve similar scalability benefits.

5. **Consistency Model**: Galera Cluster uses the InnoDB storage engine by default, providing strong consistency guarantees across all nodes in the cluster. Oracle offers different isolation levels and consistency models, allowing users to configure the system based on their specific requirements and trade-offs.

6. **Monitoring and Management Tools**: Oracle provides a comprehensive set of monitoring and management tools, such as Enterprise Manager, for administrators to oversee the database system. Galera Cluster, being open-source, may require third-party tools or scripts for monitoring and managing the cluster effectively.

In Summary, Galera Cluster and Oracle differ in their data replication methods, licensing costs, high availability mechanisms, scalability options, consistency models, and monitoring tools, catering to different user needs and preferences in the database landscape.

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Advice on Oracle, Galera Cluster

Daniel

Data Engineer at Dimensigon

Jul 18, 2020

Decided

We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.

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Comments

Abigail

Dec 6, 2019

Decided

In the field of bioinformatics, we regularly work with hierarchical and unstructured document data. Unstructured text data from PDFs, image data from radiographs, phylogenetic trees and cladograms, network graphs, streaming ECG data... none of it fits into a traditional SQL database particularly well. As such, we prefer to use document oriented databases.

MongoDB is probably the oldest component in our stack besides Javascript, having been in it for over 5 years. At the time, we were looking for a technology that could simply cache our data visualization state (stored in JSON) in a database as-is without any destructive normalization. MongoDB was the perfect tool; and has been exceeding expectations ever since.

Trivia fact: some of the earliest electronic medical records (EMRs) used a document oriented database called MUMPS as early as the 1960s, prior to the invention of SQL. MUMPS is still in use today in systems like Epic and VistA, and stores upwards of 40% of all medical records at hospitals. So, we saw MongoDB as something as a 21st century version of the MUMPS database.

540k views540k

Comments

Abigail

Dec 10, 2019

Decided

We wanted a JSON datastore that could save the state of our bioinformatics visualizations without destructive normalization. As a leading NoSQL data storage technology, MongoDB has been a perfect fit for our needs. Plus it's open source, and has an enterprise SLA scale-out path, with support of hosted solutions like Atlas. Mongo has been an absolute champ. So much so that SQL and Oracle have begun shipping JSON column types as a new feature for their databases. And when Fast Healthcare Interoperability Resources (FHIR) announced support for JSON, we basically had our FHIR datalake technology.

558k views558k

Comments

Detailed Comparison

Oracle	Galera Cluster
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.	It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error.
-	True Multi-master Read and write to any node at any time; Synchronous Replication No slave lag, no data is lost at node crash; Tightly Coupled All nodes hold the same state; Multi-threaded Slave For better performance.
Statistics
Stacks 2.6K	Stacks 54
Followers 1.8K	Followers 102
Votes 113	Votes 0
Pros & Cons
Pros 44 Reliable 33 Enterprise 15 High Availability 5 Hard to maintain 5 Expensive Cons 14 Expensive	No community feedback yet
Integrations
No integrations available	MongoDB PostgreSQL MySQL SQLFlow MariaDB

What are some alternatives to Oracle, Galera Cluster?

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

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 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.

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

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 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

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 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

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.

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.