Amazon RDS for Aurora vs PlanetScaleDB

Overview

Amazon Aurora

Stacks807

Followers745

Votes55

PlanetScaleDB

Stacks86

Followers47

Votes0

Amazon RDS for Aurora vs PlanetScaleDB: What are the differences?

Introduction: Amazon RDS for Aurora and PlanetScaleDB are two popular database management systems that offer unique features and advantages. Understanding the key differences between these two platforms is crucial for making an informed decision about which one to choose for your specific requirements.

Scalability and Performance: When it comes to scalability and performance, Aurora takes the lead. It is designed to provide high availability and can automatically scale up to 64TB of storage without any downtime. On the other hand, PlanetScaleDB offers horizontal scalability by sharding the data across multiple nodes, but it requires manual configuration and management.
Architecture: Aurora follows a different architecture compared to PlanetScaleDB. Aurora is built on a distributed architecture with a storage layer that replicates six copies of data across three Availability Zones, ensuring durability. In contrast, PlanetScaleDB is built on a MySQL-compatible architecture and provides global distribution of data by dividing it into shards.
Automated Backups and Failover: Both Aurora and PlanetScaleDB offer automated backups and failover, but they have different mechanisms. Aurora provides continuous backups with a point-in-time recovery capability. It also has built-in automated failover, allowing seamless failover in case of primary instance failure. PlanetScaleDB, on the other hand, provides backups using traditional MySQL backup tools but doesn't have a built-in automated failover mechanism.
Data Consistency: Aurora ensures that read replicas have the same data as the primary instance with minimal replication lag. It achieves this through a feature called Global Database, which replicates data across regions. On the other hand, PlanetScaleDB uses a technique called Vitess to achieve data consistency and replication across nodes.
Ease of Use: Amazon RDS for Aurora is a fully managed service, which means Amazon takes care of the infrastructure and maintenance tasks such as software patching and backups. This makes it easier to use for developers and organizations. PlanetScaleDB, on the other hand, requires more manual configuration and management, which may require a higher level of expertise.
Pricing Model: The pricing models of Aurora and PlanetScaleDB differ. Aurora follows a pay-as-you-go model based on the instance size and storage used. PlanetScaleDB offers a subscription-based pricing model, which includes support and consulting services in addition to the infrastructure costs.

In summary, the key differences between Amazon RDS for Aurora and PlanetScaleDB lie in their scalability and performance capabilities, architecture, automated backups and failover mechanisms, data consistency methods, ease of use, and pricing models.

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Detailed Comparison

Amazon Aurora	PlanetScaleDB
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.	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.
High Throughput with Low Jitter;Push-button Compute Scaling;Storage Auto-scaling;Amazon Aurora Replicas;Instance Monitoring and Repair;Fault-tolerant and Self-healing Storage;Automatic, Continuous, Incremental Backups and Point-in-time Restore;Database Snapshots;Resource-level Permissions;Easy Migration;Monitoring and Metrics	Cloud-native database; MySQL Compatible; Branching; Sharding; Non-blocking schema changes; No Vendor Lock-In
Statistics
Stacks 807	Stacks 86
Followers 745	Followers 47
Votes 55	Votes 0
Pros & Cons
Pros 14 MySQL compatibility 12 Better performance 10 Easy read scalability 9 Speed 7 Low latency read replica Cons 2 Vendor locking 1 Rigid schema	No community feedback yet
Integrations
PostgreSQL MySQL	Kubernetes MySQL Prisma Netlify Vercel Airflow

What are some alternatives to Amazon Aurora, PlanetScaleDB?

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.

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.

ClearDB

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.

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.

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.

Related Comparisons

Amazon RDS for Aurora vs PlanetScaleDB: What are the differences?

Scalability and Performance: When it comes to scalability and performance, Aurora takes the lead. It is designed to provide high availability and can automatically scale up to 64TB of storage without any downtime. On the other hand, PlanetScaleDB offers horizontal scalability by sharding the data across multiple nodes, but it requires manual configuration and management.
Architecture: Aurora follows a different architecture compared to PlanetScaleDB. Aurora is built on a distributed architecture with a storage layer that replicates six copies of data across three Availability Zones, ensuring durability. In contrast, PlanetScaleDB is built on a MySQL-compatible architecture and provides global distribution of data by dividing it into shards.
Automated Backups and Failover: Both Aurora and PlanetScaleDB offer automated backups and failover, but they have different mechanisms. Aurora provides continuous backups with a point-in-time recovery capability. It also has built-in automated failover, allowing seamless failover in case of primary instance failure. PlanetScaleDB, on the other hand, provides backups using traditional MySQL backup tools but doesn't have a built-in automated failover mechanism.
Data Consistency: Aurora ensures that read replicas have the same data as the primary instance with minimal replication lag. It achieves this through a feature called Global Database, which replicates data across regions. On the other hand, PlanetScaleDB uses a technique called Vitess to achieve data consistency and replication across nodes.
Ease of Use: Amazon RDS for Aurora is a fully managed service, which means Amazon takes care of the infrastructure and maintenance tasks such as software patching and backups. This makes it easier to use for developers and organizations. PlanetScaleDB, on the other hand, requires more manual configuration and management, which may require a higher level of expertise.
Pricing Model: The pricing models of Aurora and PlanetScaleDB differ. Aurora follows a pay-as-you-go model based on the instance size and storage used. PlanetScaleDB offers a subscription-based pricing model, which includes support and consulting services in addition to the infrastructure costs.

Amazon RDS for Aurora vs PlanetScaleDB

Overview