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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.
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.
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.
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.
Pros of Oracle
- Reliable44
- Enterprise33
- High Availability15
- Expensive5
- Hard to maintain5
- Maintainable4
- Hard to use4
- High complexity3
Pros of Percona Server for MySQL
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Cons of Oracle
- Expensive14
