Amazon ElastiCache vs PostgreSQL

Overview

Amazon ElastiCache

Stacks1.3K

Followers1.0K

Votes151

PostgreSQL

Stacks103.0K

Followers83.9K

Votes3.6K

GitHub Stars19.0K

Forks5.2K

Amazon ElastiCache vs PostgreSQL: What are the differences?

1. Scalability: Amazon ElastiCache is highly scalable, allowing you to add or remove nodes to accommodate your workload demands. PostgreSQL, on the other hand, can also scale horizontally by adding more nodes, but it requires more manual configuration and maintenance compared to ElastiCache.
2. High Availability: ElastiCache is designed for high availability, with automatic failover and multi-AZ replication. It provides built-in data redundancy and failover capabilities, ensuring minimal downtime. PostgreSQL also supports high availability with techniques like transaction logs and streaming replication, but it requires more manual setup and configuration.
3. Managed vs Self-managed: ElastiCache is a managed service, meaning Amazon takes care of the infrastructure and maintenance tasks, allowing you to focus on your application. PostgreSQL, on the other hand, requires more effort to set up and manage your database instances, including maintenance, backups, and upgrades.
4. Data Storage: ElastiCache is an in-memory data store, optimized for fast access and low latency. It is mainly used for caching, session storage, and real-time applications. In contrast, PostgreSQL is a relational database management system (RDBMS) that provides structured and persistent storage for data, suitable for a wide range of applications.
5. Data Structures: ElastiCache supports a variety of data structures like strings, lists, sets, sorted sets, and hashes, allowing you to build complex data models. On the other hand, PostgreSQL supports a rich set of data types and advanced features like transactions, indexes, constraints, and triggers, making it suitable for complex relational data models and SQL queries.
6. Cost Model: ElastiCache is billed based on the size and number of cache nodes, as well as the data transfer. It offers a pay-as-you-go pricing model, allowing you to scale and pay only for what you need. PostgreSQL, on the other hand, is typically hosted on virtual machines or dedicated servers, and the cost depends on the infrastructure and licensing model chosen.

In summary, Amazon ElastiCache is a highly scalable and managed in-memory data store, optimized for caching and real-time applications, while PostgreSQL is a feature-rich relational database management system suitable for complex data models and SQL queries. ElastiCache offers automatic failover and high availability, while PostgreSQL requires more manual setup and maintenance. The choice between the two depends on your specific application requirements and preferences.

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Advice on Amazon ElastiCache, PostgreSQL

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k

Comments

George

Student

Mar 18, 2020

Needs adviceon

PostgreSQL

Python

Django

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k

Comments

Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceon

MySQL

PostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k

Comments

Detailed Comparison

Amazon ElastiCache	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.	PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
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	-
Statistics
GitHub Stars -	GitHub Stars 19.0K
GitHub Forks -	GitHub Forks 5.2K
Stacks 1.3K	Stacks 103.0K
Followers 1.0K	Followers 83.9K
Votes 151	Votes 3.6K
Pros & Cons
Pros 58 Redis 32 High-performance 26 Backed by amazon 21 Memcached 14 Elastic	Pros 765 Relational database 511 High availability 439 Enterprise class database 383 Sql 304 Sql + nosql Cons 10 Table/index bloatings

What are some alternatives to Amazon ElastiCache, PostgreSQL?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

Related Comparisons

Amazon ElastiCache vs PostgreSQL: What are the differences?

1. Scalability: Amazon ElastiCache is highly scalable, allowing you to add or remove nodes to accommodate your workload demands. PostgreSQL, on the other hand, can also scale horizontally by adding more nodes, but it requires more manual configuration and maintenance compared to ElastiCache.
2. High Availability: ElastiCache is designed for high availability, with automatic failover and multi-AZ replication. It provides built-in data redundancy and failover capabilities, ensuring minimal downtime. PostgreSQL also supports high availability with techniques like transaction logs and streaming replication, but it requires more manual setup and configuration.
3. Managed vs Self-managed: ElastiCache is a managed service, meaning Amazon takes care of the infrastructure and maintenance tasks, allowing you to focus on your application. PostgreSQL, on the other hand, requires more effort to set up and manage your database instances, including maintenance, backups, and upgrades.
4. Data Storage: ElastiCache is an in-memory data store, optimized for fast access and low latency. It is mainly used for caching, session storage, and real-time applications. In contrast, PostgreSQL is a relational database management system (RDBMS) that provides structured and persistent storage for data, suitable for a wide range of applications.
5. Data Structures: ElastiCache supports a variety of data structures like strings, lists, sets, sorted sets, and hashes, allowing you to build complex data models. On the other hand, PostgreSQL supports a rich set of data types and advanced features like transactions, indexes, constraints, and triggers, making it suitable for complex relational data models and SQL queries.
6. Cost Model: ElastiCache is billed based on the size and number of cache nodes, as well as the data transfer. It offers a pay-as-you-go pricing model, allowing you to scale and pay only for what you need. PostgreSQL, on the other hand, is typically hosted on virtual machines or dedicated servers, and the cost depends on the infrastructure and licensing model chosen.

Amazon ElastiCache vs PostgreSQL

Overview