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

ClustrixDB vs MariaDB

OverviewDecisionsComparisonAlternatives

Overview

MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K
ClustrixDB
ClustrixDB
Stacks4
Followers35
Votes3

ClustrixDB vs MariaDB: What are the differences?

Introduction

ClustrixDB and MariaDB are both relational database management systems, but they have several key differences that set them apart. The following are six noteworthy differences between ClustrixDB and MariaDB.

  1. Scalability: One key difference between ClustrixDB and MariaDB is their scalability. ClustrixDB is specifically designed to handle massive amounts of data and high transaction volumes, making it highly scalable. On the other hand, while MariaDB can also handle a significant amount of data, it may not scale as efficiently as ClustrixDB when it comes to extremely large databases or heavy transaction loads.

  2. Architecture: The architectural differences between ClustrixDB and MariaDB also contribute to their distinct characteristics. ClustrixDB is a distributed database system that leverages a shared-nothing architecture, distributing data across multiple nodes for improved performance and fault tolerance. In contrast, MariaDB follows a more traditional shared-storage architecture, where data resides in a centralized storage location, limiting its scalability compared to ClustrixDB.

  3. High Availability: ClustrixDB offers high availability through its automatic failover mechanism. It replicates data across multiple nodes and when one node fails, another takes over seamlessly. MariaDB also supports high availability through replication, but it may require manual intervention in case of a node failure.

  4. Transaction Performance: ClustrixDB excels in handling complex transactions with high performance and minimal latency. It uses multi-version concurrency control (MVCC) to provide high transaction throughput. While MariaDB can handle transactions efficiently, it may not match the transaction performance of ClustrixDB, especially for demanding workloads.

  5. Data Distribution: ClustrixDB automatically distributes data across nodes, providing automatic data sharding and load balancing. This ensures even distribution of data and workload across the cluster, optimizing query performance. MariaDB, on the other hand, requires manual configuration for data distribution and load balancing.

  6. Global Transaction Consistency: ClustrixDB guarantees global transaction consistency with its distributed architecture. It provides strong consistency across multiple nodes, ensuring that all nodes see the same consistent view of data. MariaDB, by default, follows the principles of eventual consistency, which means that there might be a slight delay in replicating data changes across all nodes, potentially leading to temporary inconsistencies.

In summary, ClustrixDB and MariaDB differ in terms of scalability, architecture, high availability, transaction performance, data distribution, and global transaction consistency. Each database has its strengths and weaknesses, making it important to carefully evaluate their specific requirements before choosing one for a particular use case.

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Advice on MariaDB, ClustrixDB

Maxim
Maxim

student at USI

Aug 25, 2020

Needs adviceonNode.jsNode.jsMongooseMongoosePostgreSQLPostgreSQL

Hi all. I am an informatics student, and I need to realise a simple website for my friend. I am planning to realise the website using Node.js and Mongoose, since I have already done a project using these technologies. I also know SQL, and I have used PostgreSQL and MySQL previously.

The website will show a possible travel destination and local transportation. The database is used to store information about traveling, so only admin will manage the content (especially photos). While clients will see the content uploaded by the admin. I am planning to use Mongoose because it is very simple and efficient for this project. Please give me your opinion about this choice.

321k views321k
Comments
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
ClustrixDB
ClustrixDB

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.

ClustrixDB is a scale-out SQL database built from the ground up with a distributed shared nothing architecture, automatic data redistribution (so you never need to shard), with built in fault tolerance, all accessible by a simple SQL interface and support for business critical MySQL features – replication, triggers, stored routines, etc.

Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Is built from the ground up with a shared-nothing architecture. There is no MySQL code in ClustrixDB;Is built to scale transactions while maintaning ACID;Scales to add capacity by simply adding commodity servers to the cluster;Is fault tolerant and automatically recovers in the face of hardware or other failure;Uses a simple SQL interface that is compatible with MySQL syntax
Statistics
GitHub Stars
6.6K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
16.5K
Stacks
4
Followers
12.8K
Followers
35
Votes
468
Votes
3
Pros & Cons
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
Pros
  • 1
    Relational Scale-Out database
  • 1
    ClustrixDB is a scale-out RDBMS and drop-in replacement
  • 1
    Very High Connection Count

What are some alternatives to MariaDB, ClustrixDB?

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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