ClearDB vs JawsDB

Overview

ClearDB

Stacks27

Followers83

Votes28

JawsDB

Stacks2

Followers12

Votes0

ClearDB vs JawsDB: What are the differences?

Introduction:

ClearDB and JawsDB are both relational database services offered by different providers. They have some key differences, which are outlined below.

Hosting Provider: ClearDB is provided by the Oracle Cloud Infrastructure, while JawsDB is provided by JawsDB itself. This means that ClearDB utilizes Oracle's infrastructure and resources, while JawsDB has its own dedicated infrastructure.
Pricing Structure: ClearDB offers a pricing model based on the number of connections, with different tiers available based on the required number of connections. JawsDB, on the other hand, offers pricing based on the database size and storage, with tiers based on the amount of data stored.
Platform Support: ClearDB is primarily designed for use with MySQL databases and is compatible with various platforms such as Azure, Heroku, and AppFog. JawsDB, on the other hand, is specifically built for use with the Heroku platform and offers support for various database engines, including MySQL, PostgreSQL, and MariaDB.
High Availability: ClearDB provides high availability and redundancy through its multi-zone replication feature, ensuring data is replicated across multiple zones for better fault tolerance. JawsDB also offers high availability through its multiple replicas, but the replicas are limited to the same availability zone.
Backup and Restore: ClearDB offers automated backups and the ability to restore to a specific point in time. They also provide an option to create manual backups. JawsDB, on the other hand, offers daily backups with the ability to restore from the past seven days. However, manual backups are not available.
Scalability: ClearDB allows scaling the database resources vertically by increasing the number of connections, storage, and compute power. JawsDB, on the other hand, allows horizontal scaling by adding more instances to handle increased workload.

In summary, ClearDB is provided by Oracle Cloud Infrastructure, offers pricing based on connections, supports multiple platforms, provides multi-zone replication, and allows both automated and manual backups. JawsDB, on the other hand, is offered by JawsDB, has pricing based on storage, is primarily built for Heroku, provides high availability through replicas in the same zone, and offers daily automated backups without manual backup options.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

ClearDB	JawsDB
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.	It is a Database-as-a-Service (DBaaS) provider supplying a fully functional, fully managed, relational database for use with your application. Rather than going through the hassle of hosting, configuring, patching, and managing a database, JawsDB provides one-click delivery and management of a relational database in the cloud.
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.	Get access to the same database trusted by sites such as Google, Facebook, Twitter, Youtube, and more; Backups; Create, edit, and save reusable queries against your provisioned server. Databites are a custom, zero-hassle reporting solution for your database right out of the box; Regardless of how big of a wave you're riding, it makes it easy to scale your database performance; Data Replication
Statistics
Stacks 27	Stacks 2
Followers 83	Followers 12
Votes 28	Votes 0
Pros & Cons
Pros 7 Cloud SQL 6 Heroku 4 Fast 3 Great Backup 3 Easy to use	No community feedback yet
Integrations
Heroku Microsoft Azure AppFog	MariaDB PostgreSQL Heroku MySQL

What are some alternatives to ClearDB, JawsDB?

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.

Google Cloud SQL

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

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.

Related Comparisons

ClearDB vs JawsDB: What are the differences?

Introduction:

ClearDB and JawsDB are both relational database services offered by different providers. They have some key differences, which are outlined below.

Hosting Provider: ClearDB is provided by the Oracle Cloud Infrastructure, while JawsDB is provided by JawsDB itself. This means that ClearDB utilizes Oracle's infrastructure and resources, while JawsDB has its own dedicated infrastructure.
Pricing Structure: ClearDB offers a pricing model based on the number of connections, with different tiers available based on the required number of connections. JawsDB, on the other hand, offers pricing based on the database size and storage, with tiers based on the amount of data stored.
Platform Support: ClearDB is primarily designed for use with MySQL databases and is compatible with various platforms such as Azure, Heroku, and AppFog. JawsDB, on the other hand, is specifically built for use with the Heroku platform and offers support for various database engines, including MySQL, PostgreSQL, and MariaDB.
High Availability: ClearDB provides high availability and redundancy through its multi-zone replication feature, ensuring data is replicated across multiple zones for better fault tolerance. JawsDB also offers high availability through its multiple replicas, but the replicas are limited to the same availability zone.
Backup and Restore: ClearDB offers automated backups and the ability to restore to a specific point in time. They also provide an option to create manual backups. JawsDB, on the other hand, offers daily backups with the ability to restore from the past seven days. However, manual backups are not available.
Scalability: ClearDB allows scaling the database resources vertically by increasing the number of connections, storage, and compute power. JawsDB, on the other hand, allows horizontal scaling by adding more instances to handle increased workload.

ClearDB vs JawsDB

Overview