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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Oracle vs Percona Server for MySQL

Oracle vs Percona Server for MySQL

OverviewDecisionsComparisonAlternatives

Overview

Oracle
Oracle
Stacks2.6K
Followers1.8K
Votes113
Percona Server for MySQL
Percona Server for MySQL
Stacks53
Followers52
Votes0
GitHub Stars1.2K
Forks502

Oracle vs Percona Server for MySQL: What are the differences?

# Introduction

Oracle and Percona Server for MySQL are two popular relational database management systems that are widely used for storing and managing data in various applications.

1. **Licensing**:
Oracle is a commercial database management system that requires users to purchase a license for using their software, while Percona Server for MySQL is an open-source solution that is freely available to download, use, and modify. This difference in licensing can have significant cost implications for organizations depending on their budget and usage requirements.

2. **Performance Tuning**:
Percona Server for MySQL is known for its advanced performance tuning features and optimizations, which can result in faster query execution and improved overall performance compared to Oracle. These performance enhancements make Percona Server a preferred choice for high-traffic and resource-intensive applications.

3. **Database Monitoring**:
Percona Server for MySQL offers more comprehensive database monitoring and analysis tools compared to Oracle. These tools enable administrators to monitor database performance, identify bottlenecks, and optimize queries more effectively, leading to better overall system efficiency and performance.

4. **Community Support**:
Percona Server for MySQL has a strong and active community of developers and users who contribute to its ongoing development and provide support through forums, documentation, and other channels. This community-driven approach ensures that users have access to resources and assistance when using Percona Server for MySQL.

5. **Storage Engines**:
While both Oracle and Percona Server for MySQL support various storage engines, Percona Server offers additional storage engines like TokuDB and RocksDB, which are optimized for high performance and scalability. These storage engines provide users with more options for storing and managing their data efficiently.

6. **Security Features**:
Percona Server for MySQL offers enhanced security features such as advanced encryption options, improved authentication mechanisms, and tighter access controls compared to Oracle. These security enhancements help protect sensitive data and prevent unauthorized access, making Percona Server a more secure choice for organizations with strict data protection requirements.

In Summary, Oracle and Percona Server for MySQL differ in licensing, performance tuning capabilities, database monitoring tools, community support, storage engines, and security features, making each system suitable for different use cases.

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Advice on Oracle, Percona Server for MySQL

Daniel
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.

495k views495k
Comments
Abigail
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
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
Oracle
Percona Server for MySQL
Percona Server for MySQL

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 is a free, fully compatible, enhanced, open source drop-in replacement for MySQL that provides superior performance, scalability and instrumentation. Its self-tuning algorithms and support for extremely high-performance hardware delivers excellent performance and reliability.

-
Works on-premises and in the cloud;Enterprise ready;SaaS deployable;Vertical scalability and server consolidation;Deep visibility into database performance;Faster and more consistently run queries; Enhanced security with binary log (binlog) encryption and data-at-rest encryption; Improved efficiency with server consolidation
Statistics
GitHub Stars
-
GitHub Stars
1.2K
GitHub Forks
-
GitHub Forks
502
Stacks
2.6K
Stacks
53
Followers
1.8K
Followers
52
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
CentOS
CentOS
Red Hat Enterprise Linux (RHEL)
Red Hat Enterprise Linux (RHEL)
Debian
Debian
Amazon Linux
Amazon Linux

What are some alternatives to Oracle, Percona Server for MySQL?

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.

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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