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

ClearDB vs MySQL

OverviewDecisionsComparisonAlternatives

Overview

ClearDB
ClearDB
Stacks27
Followers83
Votes28
MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K

ClearDB vs MySQL: What are the differences?

Introduction

In this article, we will discuss the key differences between ClearDB and MySQL, two popular database management systems that are widely used in web development.

  1. Pricing Model: ClearDB offers a range of pricing plans based on the size and requirements of the database, while MySQL is an open-source database system that is free to use. This means that ClearDB can be more costly for larger databases or businesses with high data storage needs, whereas MySQL is more budget-friendly for those on a tight budget.

  2. Hosting Options: ClearDB provides cloud-based database hosting, which means that the database is hosted on a remote server. On the other hand, MySQL allows for both local and remote hosting options. This means that with MySQL, developers have more flexibility in terms of where the database is hosted, and they can choose an option that suits their specific requirements.

  3. Scalability: ClearDB offers automatic database scaling, allowing databases to easily handle increased traffic and data storage needs. This is especially beneficial for websites or applications that experience high growth or unpredictability in usage. On the contrary, while MySQL does offer some scalability features, it requires additional configuration and management to handle increased workload and data volume effectively.

  4. Support: ClearDB provides dedicated customer support, which includes assistance with database setup, configuration, and troubleshooting. In contrast, MySQL being an open-source system rely primarily on community-driven support. While there is a vast and active community that can provide support and guidance, the quality and reliability of the support can vary.

  5. Backup and Recovery: ClearDB offers automated backups and recovery options, ensuring that the database data is safely stored and can be easily restored in the event of data loss or system failure. MySQL also provides backup and recovery options, but the implementation and management of these features may require additional configuration and monitoring by the developer.

  6. Performance Optimization: ClearDB is optimized for performance, with features such as load balancing and caching to ensure efficient data retrieval and processing. MySQL, being an open-source system, may require additional optimization and tuning by the developer to achieve optimal performance in specific use cases or scenarios.

In summary, ClearDB and MySQL differ in terms of pricing model, hosting options, scalability, support, backup and recovery options, and performance optimization. While ClearDB offers convenience and specialized features, it comes at a cost, whereas MySQL provides more flexibility and open-source advantages.

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Advice on ClearDB, MySQL

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

ClearDB
ClearDB
MySQL
MySQL

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.

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.

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.
-
Statistics
GitHub Stars
-
GitHub Stars
11.8K
GitHub Forks
-
GitHub Forks
4.1K
Stacks
27
Stacks
129.6K
Followers
83
Followers
108.6K
Votes
28
Votes
3.8K
Pros & Cons
Pros
  • 7
    Cloud SQL
  • 6
    Heroku
  • 4
    Fast
  • 3
    Great Backup
  • 3
    Easy to use
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
Integrations
Heroku
Heroku
Microsoft Azure
Microsoft Azure
AppFog
AppFog
No integrations available

What are some alternatives to ClearDB, MySQL?

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.

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.

MariaDB

MariaDB

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.

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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