Overview

ClearDB

Stacks27

Followers83

Votes28

Google Cloud SQL

Stacks555

Followers580

Votes46

ClearDB vs Google Cloud SQL: What are the differences?

Database Engine: ClearDB uses MySQL as its database engine, while Google Cloud SQL supports multiple databases such as MySQL, PostgreSQL, and SQL Server. This difference in database engines can impact the compatibility and performance of applications running on these platforms.
Scalability: Google Cloud SQL offers automated vertical scaling, allowing users to easily adjust the computing power of their database instances, whereas ClearDB does not offer this feature. This can be crucial for applications experiencing fluctuating workloads that require dynamic scaling of resources.
Pricing Model: ClearDB follows a pay-as-you-go pricing model, where users are charged based on their actual resource usage, while Google Cloud SQL offers different pricing tiers with fixed monthly costs. This difference in pricing models can influence the cost-effectiveness of each service based on the specific needs of the user.
Integration with Cloud Services: Google Cloud SQL seamlessly integrates with other Google Cloud Platform services such as Compute Engine and App Engine, enabling easier deployment and management of applications, while ClearDB does not have the same level of integration. This can simplify the development and deployment process for users utilizing Google Cloud Platform services.
High Availability and Backups: Google Cloud SQL includes built-in high availability features and automated backups, ensuring data redundancy and disaster recovery, which may require additional configurations in ClearDB. This difference can impact the reliability and availability of databases in case of failures or data loss scenarios.

In Summary, ClearDB and Google Cloud SQL differ in their database engines, scalability options, pricing models, integration with cloud services, and high availability features, which can influence the performance, cost, and ease of use for users based on their specific requirements.

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Advice on ClearDB, Google Cloud SQL

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Jun 28, 2021

Needs adviceon

MySQL

Heroku

ClearDB

Hi, I'm a beginner at using MySQL, I currently deployed my crud app on Heroku using the ClearDB add-on. I didn't see that coming, but the increased value of the primary key instead of being 1 is set to 10, and I cannot find a way to change it. Now I`m considering switching and deploying the full app and MySql to DigitalOcean any advice on that? Will I get the same issue? Thanks in advance!

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Detailed Comparison

ClearDB	Google Cloud SQL
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.	Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.
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.	Familiar Infrastructure;Flexible Charging;Security, Availability, Durability;Easier Migration; No Lock-in;Fully managed
Statistics
Stacks 27	Stacks 555
Followers 83	Followers 580
Votes 28	Votes 46
Pros & Cons
Pros 7 Cloud SQL 6 Heroku 4 Fast 3 Easy to use 3 Great Backup	Pros 13 Fully managed 10 Backed by Google 10 SQL 4 Flexible 3 Encryption at rest and transit
Integrations
Heroku Microsoft Azure AppFog	No integrations available

What are some alternatives to ClearDB, Google Cloud SQL?

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.

Amazon Aurora

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

Azure SQL Database

It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.

Cloud DB for Mysql

It is a fully managed cloud cache service that enables you to easily configure a MySQL database with a few settings and clicks and operate it reliably with NAVER's optimization settings, and that automatically recovers from failures.

PlanetScaleDB

It is a fully managed cloud native database-as-a-service built on Vitess and Kubernetes. A MySQL compatible highly scalable database. Effortlessly deploy, manage, and monitor your databases in multiple regions and across cloud providers.

DigitalOcean Managed Databases

Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.

Azure Database for MySQL

Azure Database for MySQL provides a managed database service for app development and deployment that allows you to stand up a MySQL database in minutes and scale on the fly – on the cloud you trust most.

Books

It is an immutable double-entry accounting database service. It supports many clients and businesses at global scale, leaning on Google Cloud Spanner and Google Kubernetes Engine to make that possible.

Aiven

A fully-managed and hosted database as a service (DBaaS) that provides enterprises of every size access to secure and scalable open-source database and messaging services on all major clouds across the globe.

Amazon Aurora Serverless

It is an on-demand, autoscaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application's needs. You can run your database on AWS without managing database capacity.