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  5. MariaDB vs Sybase

MariaDB vs Sybase

OverviewDecisionsComparisonAlternatives

Overview

MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K
Sybase
Sybase
Stacks41
Followers80
Votes10

MariaDB vs Sybase: What are the differences?

Introduction

MariaDB and Sybase are both popular database management systems, but they have key differences that set them apart in terms of functionality and performance.

  1. Architecture: MariaDB is based on MySQL and offers a traditional relational database management system architecture. In contrast, Sybase utilizes a client-server architecture, with a central server managing multiple client connections. This architecture difference can impact performance and scalability.

  2. Licensing: MariaDB is an open-source database management system, available under the GNU General Public License. On the other hand, Sybase is a commercial database system with proprietary licensing. This difference can affect the cost of ownership and the level of support available for the systems.

  3. Supported Platforms: MariaDB is known for its cross-platform support, running on various operating systems like Windows, Linux, and macOS. Sybase, however, has more limited platform support, primarily focusing on Windows and Unix-based operating systems. This difference can influence the deployment options for these systems.

  4. Feature Set: MariaDB has a rich feature set, including advanced replication, clustering, and partitioning capabilities. Sybase, while also a robust system, may have a different emphasis on features, such as performance tuning tools and compatibility with legacy systems. Understanding the specific feature set of each system is crucial for selecting the right one for your needs.

  5. Community Support: MariaDB benefits from a strong community of developers and users who contribute to its ongoing development and support. Sybase, being a commercial product, relies more on dedicated customer support services provided by the vendor. This difference in community support can affect the availability of resources for troubleshooting and enhancement of the systems.

  6. Performance Optimization: MariaDB is known for its high performance and optimization features, such as query caching and indexing improvements. Sybase also prioritizes performance optimization but may adopt different techniques or tools for achieving this goal. Understanding the performance characteristics of each system is essential for maximizing the efficiency of database operations.

In Summary, MariaDB and Sybase differ in architecture, licensing, platform support, feature set, community support, and performance optimization, each offering unique strengths and considerations for database management.

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Advice on MariaDB, Sybase

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

Detailed Comparison

MariaDB
MariaDB
Sybase
Sybase

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.

Modernize and accelerate your transaction-based applications on premise and in the cloud. This high-performance SQL database server uses a relational management model to meet rising demand for performance, reliability, and efficiency in every industry.

Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Faster, more secure transfer of database files; Multiversion concurrency control (MVCC); Three-system monitoring procedures
Statistics
GitHub Stars
6.6K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
16.5K
Stacks
41
Followers
12.8K
Followers
80
Votes
468
Votes
10
Pros & Cons
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
Pros
  • 1
    Max number of connection is 350000
  • 1
    HADR dont loose data
  • 1
    Replication server the best
  • 1
    HADR does not lose data is superior to Allwayson which
  • 1
    Sybase has at least 200000 from 15 years ago

What are some alternatives to MariaDB, Sybase?

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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