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  1. Stackups
  2. Utilities
  3. Caching
  4. Managed Memcache
  5. Amazon ElastiCache vs Amazon RDS for PostgreSQL

Amazon ElastiCache vs Amazon RDS for PostgreSQL

OverviewDecisionsComparisonAlternatives

Overview

Amazon ElastiCache
Amazon ElastiCache
Stacks1.3K
Followers1.0K
Votes151
Amazon RDS for PostgreSQL
Amazon RDS for PostgreSQL
Stacks814
Followers607
Votes40

Amazon ElastiCache vs Amazon RDS for PostgreSQL: What are the differences?

Introduction

Amazon ElastiCache and Amazon RDS for PostgreSQL are both managed database services provided by Amazon Web Services (AWS). While they serve similar purposes, there are key differences between the two. This article aims to provide a comparison of Amazon ElastiCache and Amazon RDS for PostgreSQL.

  1. Deployment of Caching vs Relational Database: Amazon ElastiCache is primarily designed for caching purposes, enabling you to deploy an in-memory cache service such as Redis or Memcached. On the other hand, Amazon RDS for PostgreSQL is a fully managed relational database service, allowing you to deploy and manage PostgreSQL databases.

  2. Data Structure: Key-Value store vs Relational Database: Amazon ElastiCache is optimized for key-value data, making it suitable for caching scenarios where simple key-value lookups are required. In contrast, Amazon RDS for PostgreSQL provides a relational database management system that supports a rich set of SQL features and complex data structures.

  3. Scaling: Horizontal Scaling vs Vertical Scaling: With Amazon ElastiCache, horizontal scaling is the primary method of scaling. The cache nodes can be added or removed to handle varying workload demands. On the other hand, Amazon RDS for PostgreSQL allows both horizontal and vertical scaling. You can horizontally scale by adding read replicas and vertically scale by increasing the compute and storage capacity of the database instance.

  4. Replication and High Availability: Amazon ElastiCache provides automatic replication and high availability for caching data, allowing you to easily recover from failures. Amazon RDS for PostgreSQL also supports replication and high availability through features like Multi-AZ (Availability Zone) deployments and read replicas. This ensures data durability and availability.

  5. Data Persistence: Volatile vs Durable: Amazon ElastiCache is designed to be an in-memory cache, which means the data stored in the cache is volatile. In contrast, Amazon RDS for PostgreSQL provides durable storage for your data, ensuring data persistence even in the event of failures or restarts.

  6. Backup and Restore: Amazon RDS for PostgreSQL offers automated backup and restore features, allowing you to easily create backups, restore to a point-in-time, and recover data in case of data loss or corruption. Amazon ElastiCache does not provide native backup and restore functionality since it is intended for caching purposes rather than long-term data storage.

In Summary, Amazon ElastiCache is a caching service optimized for key-value data with horizontal scaling, while Amazon RDS for PostgreSQL is a managed relational database service with support for complex data structures, vertical and horizontal scaling, as well as backup and restore capabilities.

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Advice on Amazon ElastiCache, Amazon RDS for PostgreSQL

Lonnie
Lonnie

CEO - Co-founder US, Mexico Binational Tech Start-up Accelerator, Incubator at Framework Science

May 9, 2019

ReviewonAmazon DynamoDBAmazon DynamoDBAmazon RDS for PostgreSQLAmazon RDS for PostgreSQL

We use Amazon RDS for PostgreSQL because RDS and Amazon DynamoDB are two distinct database systems. DynamoDB is NoSQL DB whereas RDS is a relational database on the cloud. The pricing will mainly differ in the type of application you are using and your requirements. For some applications, both DynamoDB and RDS, can serve well, for some it might not. I do not think DynamoDB is cheaper. Right now we are helping Companies in Silicon Valley and in Southern California go SERVERLESS - drastically lowering costs if you are interested in hearing how we go about it.

9.18k views9.18k
Comments
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
Comments

Detailed Comparison

Amazon ElastiCache
Amazon ElastiCache
Amazon RDS for PostgreSQL
Amazon RDS for PostgreSQL

ElastiCache improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports Memcached and Redis.

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.

Support for two engines: Memcached and Redis;Ease of management via the AWS Management Console. With a few clicks you can configure and launch instances for the engine you wish to use.;Compatibility with the specific engine protocol. This means most of the client libraries will work with the respective engines they were built for - no additional changes or tweaking required.;Detailed monitoring statistics for the engine nodes at no extra cost via Amazon CloudWatch;Pay only for the resources you consume based on node hours used
Monitoring and Metrics –Amazon RDS provides Amazon CloudWatch metrics for you DB Instance deployments at no additional charge.;DB Event Notifications –Amazon RDS provides Amazon SNS notifications via email or SMS for your DB Instance deployments.;Automatic Software Patching – Amazon RDS will make sure that the PostgreSQL software powering your deployment stays up-to-date with the latest patches.;Automated Backups – Turned on by default, the automated backup feature of Amazon RDS enables point-in-time recovery for your DB Instance.;DB Snapshots – DB Snapshots are user-initiated backups of your DB Instance.;Pre-configured Parameters – Amazon RDS for PostgreSQL deployments are pre-configured with a sensible set of parameters and settings appropriate for the DB Instance class you have selected.;PostGIS;Language Extensions :PL/Perl, PL/pgSQL, PL/Tcl;Full Text Search Dictionaries;Advanced Data Types : HStore, JSON;Core PostgreSQL engine features
Statistics
Stacks
1.3K
Stacks
814
Followers
1.0K
Followers
607
Votes
151
Votes
40
Pros & Cons
Pros
  • 58
    Redis
  • 32
    High-performance
  • 26
    Backed by amazon
  • 21
    Memcached
  • 14
    Elastic
Pros
  • 25
    Easy setup, backup, monitoring
  • 13
    Geospatial support
  • 2
    Master-master replication using Multi-AZ instance

What are some alternatives to Amazon ElastiCache, Amazon RDS for PostgreSQL?

MemCachier

MemCachier

MemCachier provides an easy and powerful managed caching solution for all your performance and scalability needs. It works with the ubiquitous memcache protocol so your favourite language and framework already supports it.

Heroku Postgres

Heroku Postgres

Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.

Memcached Cloud

Memcached Cloud

Memcached Cloud is a fully-managed service for running your Memcached in a reliable and fail-safe manner. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption. Memcached Cloud provides various data persistence options as well as remote backups for disaster recovery purposes.

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.

Database Labs

Database Labs

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

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.

Azure Database for PostgreSQL

Azure Database for PostgreSQL

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

Neon Database

Neon Database

It is a fully managed serverless PostgreSQL. Neon separates storage and compute to offer modern developer features such as serverless, branching, bottomless storage, and more.

Amazon Aurora PostgreSQL

Amazon Aurora PostgreSQL

It is a fully managed, PostgreSQL–compatible, and ACID–compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open-source databases.

Crunchy Bridge

Crunchy Bridge

It is a fully-managed database as a service. It takes care of backups, high availability, monitoring. Additionally, it is multi-cloud supporting AWS and Azure and comes with PL/Python3u and PL/R for more powerful work.

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