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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. MariaDB vs Tibero

MariaDB vs Tibero

OverviewDecisionsComparisonAlternatives

Overview

MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K
Tibero
Tibero
Stacks10
Followers17
Votes11

MariaDB vs Tibero: What are the differences?

# Introduction
This Markdown code provides a comparison between MariaDB and Tibero, focusing on key differences between the two database management systems.

1. **Open Source vs. Commercial License**: MariaDB is an open-source relational database management system, while Tibero is a commercial database that requires a license for use. This difference in licensing can impact the cost and scalability options for users.
  
2. **Storage Engine Support**: MariaDB supports multiple storage engines, including InnoDB, MyRocks, and Aria, offering flexibility for different use cases. On the other hand, Tibero primarily utilizes its own proprietary storage engine, limiting the options for users in terms of storage engine selection and optimization.

3. **SQL Compatibility**: MariaDB is known for its high level of compatibility with MySQL, making it a popular choice for those transitioning from MySQL. Tibero, however, is not as closely aligned with MySQL, potentially requiring more effort for migration and compatibility with MySQL-based applications.

4. **Replication Features**: MariaDB includes built-in support for various replication methods, such as synchronous and asynchronous replication, offering robust solutions for high availability and scalability. In contrast, Tibero may have more limited replication features, which could impact the scalability and reliability of the system.

5. **Community Support and Updates**: MariaDB has a large and active community contributing to its development, allowing for frequent updates, bug fixes, and enhancements. Tibero, as a commercial product, may have a more structured approach to updates and support, potentially leading to less frequent updates but with a focus on stability and reliability.

6. **Performance and Scalability**: Both MariaDB and Tibero offer strong performance and scalability capabilities, but the specific optimizations and features may vary between the two systems. MariaDB's open-source nature allows for community-driven performance enhancements and tuning options, while Tibero's commercial model may provide dedicated support for performance and scalability concerns.

In Summary, this Markdown code highlights key differences between MariaDB and Tibero, including their licensing models, storage engine support, SQL compatibility, replication features, community support, and performance and scalability options.

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Advice on MariaDB, Tibero

Omran
Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

582k views582k
Comments
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.

496k views496k
Comments

Detailed Comparison

MariaDB
MariaDB
Tibero
Tibero

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.

It is a high-performance, highly secure, highly scalable relational database management system (RDBMS) for enterprises that want to fully leverage their mission-critical data. In a world where data is at the core of everything, Tibero provides an enhanced view of processing, managing and securing large-scale databases.

Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Highly compatible with Oracle – in some cases as much as 97% compatibility; High availability (Active-Active clustering); Simple licensing model similar to SaaS subscription pricing; High performance transaction processing; Scales with commodity hardware rather than expensive proprietary database servers; Active or passive standby database capability; Hyper-thread architecture; High security database encryption; Multi-node parallel recovery; Reliable shared server; Tibero Enterprise Edition is all inclusive, with no additional products to purchase
Statistics
GitHub Stars
6.6K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
16.5K
Stacks
10
Followers
12.8K
Followers
17
Votes
468
Votes
11
Pros & Cons
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
Pros
  • 1
    Hyper-thread architecture
  • 1
    High security database encryption
  • 1
    Multi-node parallel recovery
  • 1
    Reliable shared server
  • 1
    Enterprise Edition all inclusive without extra purchase
Integrations
No integrations available
Oracle
Oracle

What are some alternatives to MariaDB, Tibero?

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.

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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