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

ClearDB vs Heroku Postgres

OverviewDecisionsComparisonAlternatives

Overview

ClearDB
ClearDB
Stacks27
Followers83
Votes28
Heroku Postgres
Heroku Postgres
Stacks607
Followers314
Votes38

ClearDB vs Heroku Postgres: What are the differences?

Introduction

ClearDB and Heroku Postgres are both popular database services used for storing and managing data in web applications. While they share similarities in terms of functionality, there are several key differences that set them apart. In this article, we will delve into the specific differences between ClearDB and Heroku Postgres.

  1. Pricing Models: ClearDB offers both free and paid plans, allowing users to choose the one that suits their needs best. On the other hand, Heroku Postgres follows a tiered pricing model, where users can select from different pricing tiers based on the amount of storage and performance required.

  2. Integration with Cloud Platforms: ClearDB is primarily associated with the Azure cloud platform, making it an excellent choice for developers who already utilize Azure services. On the contrary, Heroku Postgres is a native product of the Heroku platform, providing seamless integration and additional features specific to Heroku.

  3. Scalability: ClearDB allows users to scale their databases horizontally by adding read replicas, ensuring improved performance and redundancy. However, Heroku Postgres enables vertical scalability through its Continuous Protection feature, which automatically provisions more powerful database instances as the workload increases.

  4. Data Center Locations: ClearDB offers multiple data center locations around the world, allowing users to choose the one that best suits their geographical requirements. In contrast, Heroku Postgres primarily relies on the data center regions provided by the hosting platform (AWS, Azure, or Google Cloud), limiting the flexibility to select specific locations.

  5. Backup and Recovery: ClearDB provides automated backups and allows users to restore their databases to a previous state in case of data loss. Heroku Postgres offers continuous protection with rolling backups, allowing for point-in-time recovery and minimizing the risk of data loss.

  6. Support: ClearDB offers different support channels, including community forums, tickets, and phone support, to assist users with their database-related queries and concerns. On the other hand, Heroku Postgres leverages the existing support infrastructure provided by the Heroku platform, providing comprehensive support for its users.

In summary, ClearDB and Heroku Postgres differ in terms of pricing models, integration with cloud platforms, scalability options, data center locations, backup and recovery mechanisms, as well as support offerings.

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Advice on ClearDB, Heroku Postgres

Jorge
Jorge

Jan 15, 2020

Needs advice

Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.

51.8k views51.8k
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Detailed Comparison

ClearDB
ClearDB
Heroku Postgres
Heroku Postgres

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.

Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database 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.
High Availability;Rollback;Dataclips;Automated Health Checks
Statistics
Stacks
27
Stacks
607
Followers
83
Followers
314
Votes
28
Votes
38
Pros & Cons
Pros
  • 7
    Cloud SQL
  • 6
    Heroku
  • 4
    Fast
  • 3
    Great Backup
  • 3
    Easy to use
Pros
  • 29
    Easy to setup
  • 3
    Extremely reliable
  • 3
    Follower databases
  • 3
    Dataclips for sharing queries
Cons
  • 2
    Super expensive
Integrations
Heroku
Heroku
Microsoft Azure
Microsoft Azure
AppFog
AppFog
PostgreSQL
PostgreSQL
Heroku
Heroku

What are some alternatives to ClearDB, Heroku Postgres?

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.

Amazon Aurora

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

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.

Amazon RDS for PostgreSQL

Amazon RDS for PostgreSQL

Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.

ElephantSQL

ElephantSQL

ElephantSQL hosts PostgreSQL on Amazon EC2 in multiple regions and availability zones. The servers are continuously transferring the Write-Ahead-Log (the transaction log) to S3 for maximum reliability.

Azure SQL Database

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.

Database Labs

Database Labs

We manage an optimized Postgres image. You focus on your core app, not on becoming a database administrator.

Cloud DB for Mysql

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.

Google Cloud SQL for PostgreSQL

Google Cloud SQL for PostgreSQL

With Cloud SQL for PostgreSQL, you can spend less time on your database operations and more time on your applications.

PlanetScaleDB

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.

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