MariaDB vs Teradata comparison

MariaDB is an open source relational database created by the original founders of MySQL. It is considered one of the most popular and trusted database servers throughout the world. MariaDB is a valued component found in most cloud offerings and is the default in many Linux tools. It is also widely used by Wikipedia, WordPress, and Google, among other well-known sites. Maria DB easily melds data into concise information from a vast array of applications, such as banking, online shopping, websites, and more.

MariaDB was originally created to improve MySQL performance. It is the most widely chosen database server due to the solution being super fast, robust, user-friendly, and easily scalable. MariaDB also offers a substantial ecosystem of plugins, storage engines, and numerous other valuable tools that make it very attractive for a significant offering of use cases.

The solution’s newest functionalities include compatibility with Oracle Database and Temporal Data Tables, and advanced clustering with Galera Cluster 4, which make it easier for users to research data history from any point in the past. Additionally, the most recent versions include JSON and GIS features. MariaDB is committed to staying an open source solution.

MariaDB Features

• More storage: MariaDB works with more storage engines than MySQL and most other database servers available. Some storage options include, but are not limited to ARCHIVE, MERGE, CSV, MEMORY, BLACKHOLE, MyISAM, ColumnStore, MyRocks, and Cassandra.
  
  
• Super fast: MariaDB offers faster authentication checks. The FlushSSL permits SSL certificates to be reloaded without a server restart, resulting in huge time savings.
  
  
• Improved testing: MariaDB offers an extending testing suite that runs faster and can test more than ever before. Bugs can be easily fixed and invalid tests removed.
  
  
• Genuinely open source: Every code in MariaDB is GPL, LGPL, or BSD. Client libraries [for Windows (ODBC), Java (JDBC), or C] allow linking to closed source software. All fixed bug cases and development plans are completely public. MariaDB is a community-developed solution representing the true spirit of open source products.

Reviews from Real Users

Faustine C., Engineering Supervisor- Corporate Data Solutions and Services at TZ Telecoms Corporation, shares, “The software provides a lot of information on what is happening inside the database. For most performance parameters it is easy to know if something is not right in the configuration or optimization which helps engineers take remedial fine-tuning measures. For example, if the database is underperforming it is easy to know which performance parameter can be adjusted to handle the workload. It is difficult to troubleshoot database issues if many performance parameters can not be monitored or debugged which is the case with some database management systems. It provides great monitoring of data storage, processing, and performance stability which is really important for real-time data storage and processing. It's a user-friendly product.”

A PeerSpot user who is a Senior Engineer at a tech services company relates, “ The solution's high availability is its most valuable aspect. We have found the product to be stable and the initial setup is pretty simple. I'd rate the solution at a ten out of ten. I'm very happy with it overall. I would recommend the solution to others. It's easy to find details about the product online and to learn about it.”

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

• Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
• Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
• Query Tuning: Improves speed and performance of data retrieval processes.
• Workload Management: Ensures optimal resource allocation for enhanced performance.
• Robust Security: Provides high levels of data protection and system integrity.
• Data Integration: Facilitates cohesive data management from multiple sources.
• Automation for Real-time Reporting: Enhances timely data insights and decision-making.
• Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
• Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

• Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
• Scalability: Easy adjustment to increasing or decreasing data requirements.
• Improved Performance: Fast query speeds and optimized resource use.
• Comprehensive Security: Safeguards data integrity and accessibility.
• Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.