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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. SQL Database As A Service
  5. ClearDB vs MariaDB

ClearDB vs MariaDB

OverviewDecisionsComparisonAlternatives

Overview

ClearDB
ClearDB
Stacks27
Followers83
Votes28
MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K

ClearDB vs MariaDB: What are the differences?

  1. Data Structure: ClearDB is a hosted MySQL database service that offers a structured relational database management system, while MariaDB is an open-source relational database management system that is developed as a drop-in replacement for MySQL.
  2. License: ClearDB is a commercial database service that requires a subscription fee for access, whereas MariaDB is open-source and free to use, offering greater flexibility for users without any licensing costs.
  3. Community Support: MariaDB has a strong community of developers and users contributing to its continuous improvement and expansion, while ClearDB's support primarily comes from its parent company, which may limit community-driven enhancements.
  4. Backup and Recovery: ClearDB offers automated backup and recovery services as part of its subscription packages, providing users with peace of mind for data protection, while MariaDB users must set up their backup and recovery solutions independently.
  5. Scalability: ClearDB offers scalable database solutions that can be adjusted based on user needs and demands without significant downtime, while MariaDB also provides scalability options through its distributed architecture and clustering features.
  6. Performance Tuning: ClearDB has optimized performance tuning features to enhance database performance and efficiency, ensuring smooth operations for users, whereas MariaDB may require more manual optimization and tuning by experienced administrators.

In Summary, ClearDB and MariaDB differ in their core features, licensing models, community support, backup solutions, scalability options, and performance tuning approaches.

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Advice on ClearDB, MariaDB

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

ClearDB
ClearDB
MariaDB
MariaDB

ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.

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.

Global Multi-Master Design- ClearDB uses geo-distributed MySQL database configurations for the ultimate in database availability, survivability, and performance. Even if whole cloud regions go offline, your database will stay online.;Completely Fault Tolerant- ClearDB is the only cloud database in the market today that offers true multi-regional read/write mirroring with 100% uptime, even if networks or disks fail.;Native MySQL- Our clusters use native MySQL so that you don't have to worry about re-tuning your applications to work with ClearDB.;Fast, Reliable Support- We have expert database and systems engineers working round the clock to ensure that your database is available, reliable, and secure.;Ultra Secure- We use a combination of 256 bit SSL encryption and client certificates directly in MySQL to secure connections.
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Statistics
GitHub Stars
-
GitHub Stars
6.6K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
27
Stacks
16.5K
Followers
83
Followers
12.8K
Votes
28
Votes
468
Pros & Cons
Pros
  • 7
    Cloud SQL
  • 6
    Heroku
  • 4
    Fast
  • 3
    Great Backup
  • 3
    Easy to use
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
Integrations
Heroku
Heroku
Microsoft Azure
Microsoft Azure
AppFog
AppFog
No integrations available

What are some alternatives to ClearDB, MariaDB?

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.

Amazon RDS

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

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.

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