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Amazon RDS for PostgreSQL

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

Introduction In this case, we will be discussing the key differences between Amazon RDS for PostgreSQL and Citus. Both Amazon RDS for PostgreSQL and Citus are database platforms that offer different features and functionalities. Understanding the differences between these platforms can help businesses make informed decisions when it comes to selecting the appropriate database solution for their specific needs and requirements.

  1. Scalability and Sharding: One of the key differences between Amazon RDS for PostgreSQL and Citus is their approach to scalability. Amazon RDS for PostgreSQL offers scalability through vertical scaling, allowing users to increase the compute and memory resources of their database instances. On the other hand, Citus leverages horizontal scaling and sharding techniques, splitting the data across multiple nodes to achieve scalability and increased performance.

  2. Performance: When it comes to performance, Citus often outperforms Amazon RDS for PostgreSQL. Citus's distributed architecture allows it to parallelize queries, enabling faster query execution and data retrieval. Additionally, Citus utilizes efficient data distribution mechanisms and indexing techniques that further enhance performance, especially for complex analytical workloads.

  3. Data Partitioning: Data partitioning is handled differently in Amazon RDS for PostgreSQL and Citus. Amazon RDS for PostgreSQL utilizes table partitioning, where tables are divided into smaller partitions based on a specified partition key. On the other hand, Citus offers transparent sharding, where the data is automatically and evenly distributed across multiple nodes based on the shard key. This approach simplifies data partitioning and improves query performance.

  4. Support for Distributed Joins: Another important difference between Amazon RDS for PostgreSQL and Citus is their support for distributed joins. Citus is designed to handle distributed joins efficiently by parallelizing join operations across multiple nodes. In contrast, Amazon RDS for PostgreSQL does not have built-in support for distributed joins, which can impact the performance of queries involving multiple tables.

  5. Management and Monitoring: Amazon RDS for PostgreSQL provides a comprehensive management console and monitoring tools, making it easier to manage and monitor your database instances. It offers features such as automated backups, security patching, and performance monitoring. While Citus can be managed using the same tools as PostgreSQL, it may require additional setup and configuration for monitoring and management.

  6. Data Localization: In terms of data localization, Citus offers the ability to colocate data where it is most needed. By selecting a specific distribution column, data can be stored on nodes that are geographically closer to the users, reducing latency and improving performance. Amazon RDS for PostgreSQL does not provide built-in support for data localization.

In summary, the key differences between Amazon RDS for PostgreSQL and Citus include their scalability approaches, performance capabilities, data partitioning methods, support for distributed joins, management and monitoring tools, and data localization features. Understanding these differences can help businesses choose the appropriate platform based on their specific requirements.

Advice on Amazon RDS for PostgreSQL and Citus

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.

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Replies (2)
David Weinberg

Good balance between easy to manage, pricing, docs and features.

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Max Musing
Founder & CEO at BaseDash · | 1 upvotes · 49.9K views

DigitalOcean's offering is pretty solid. Easy to scale, great UI, automatic daily backups, decent pricing.

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Pros of Amazon RDS for PostgreSQL
Pros of Citus
  • 25
    Easy setup, backup, monitoring
  • 13
    Geospatial support
  • 2
    Master-master replication using Multi-AZ instance
  • 6
    Multi-core Parallel Processing
  • 3
    Drop-in PostgreSQL replacement
  • 2
    Distributed with Auto-Sharding

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What is 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.

What is Citus?

It's an extension to Postgres that distributes data and queries in a cluster of multiple machines. Its query engine parallelizes incoming SQL queries across these servers to enable human real-time (less than a second) responses on large datasets.

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What companies use Amazon RDS for PostgreSQL?
What companies use Citus?
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What tools integrate with Amazon RDS for PostgreSQL?
What tools integrate with Citus?

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What are some alternatives to Amazon RDS for PostgreSQL and Citus?
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.
PostgreSQL
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.
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.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
See all alternatives