DigitalOcean PostgreSQL vs AWS Aurora PostgreSQL

Description

DigitalOcean PostgreSQL. DigitalOcean PostgreSQL is a service that allows you to run a PostgreSQL database on the cloud with DigitalOcean. It is a managed service that handles tasks such as installation, upgrades, backups, replication, and scaling of your PostgreSQL database. You can use DigitalOcean PostgreSQL with any application or tool that supports PostgreSQL.

AWS Aurora PostgreSQL is a relational database service that is compatible with PostgreSQL and offers performance and availability improvements over standard PostgreSQL. AWS Aurora PostgreSQL is built on a distributed storage system that automatically scales up to 128 TiB and replicates data across multiple Availability Zones.

Pricing

• Node type: You can choose between single node clusters and high availability clusters. Single node clusters are not highly available, but they feature automatic failover. High availability clusters have at least one standby node for automatic failover. You can add or remove standby nodes at any time. Other features, like point-in-time recovery and read-only nodes, vary by database engine.
• Node size: You can choose the number of vCPUs and the amount of memory you want for your database node, up to 16 vCPUs and 256 GB of memory. The price per vCPU and per GB of memory varies depending on the node type and the machine type you choose. For example, for single node clusters, you can choose between Basic, General Purpose, and Storage-Optimized machine types, each with different price ranges and performance levels.
• Storage size: You can provision up to 16 TiB of storage for your database node. You are charged for the storage that you provision for your node, regardless of how much you actually use. The price per GB of storage also varies depending on the storage type and the node type you choose. For example, for single node clusters, SSD storage costs $0.115 per GB-month, while HDD storage costs $0.045 per GB-month.
• Backup retention: You can configure the backup retention period for your database node, up to 35 days. Backup storage is the storage associated with automated backups of your node. There is no additional charge for backup storage for up to 100% of your total provisioned node storage. Additional consumption of backup storage will be charged in GB-month. You can also choose between locally redundant or geo-redundant backup storage options, each with different price ranges and availability levels.
• Region: You can choose the region where you want to deploy your database node. The price per vCPU, per GB of memory, per GB of storage, and per GB of backup storage varies depending on the region you choose. For example, for single node clusters in the NYC1 region, a Basic machine with 2 vCPUs and 4 GB of memory costs $0.068 per hour, while in the SGP1 region, it costs $0.075 per hour.

The pricing of AWS Aurora PostgreSQL depends on several factors, such as the instance type, storage type, storage size, backup retention, Multi-AZ deployment, and region. You can pay for AWS Aurora PostgreSQL using On-Demand or Reserved Instances. On-Demand Instances let you pay by the hour with no long-term commitments, while Reserved Instances offer significant discounts for one or three year terms.

Pros

• It is a fully managed service that handles tasks such as installation, upgrades, backups, replication, and scaling of your PostgreSQL database.
• It supports flexible node types and sizes, from 1 GB RAM/1 vCPU to 64 GB RAM/16 vCPU. You can also add or remove nodes at any time.
• It provides security features such as firewall rules, encryption at rest and in transit, role-based access control, and data masking.

• It delivers up to three times better performance than standard PostgreSQL with lower latency and higher throughput.
• It supports up to 15 read replicas and cross-Region replicas for scaling read workloads and disaster recovery.
• It provides high availability and durability with Multi-AZ deployments and automatic failover.
• It supports features such as Global Database, Backtrack, Snapshot Export, Serverless, and Machine Learning Integration.

Cons

• It is more expensive than running self-managed PostgreSQL on Droplets.
• It does not provide host access to the DB nodes or allow you to run custom extensions or scripts on them.
• It has some limitations and differences from standard PostgreSQL, such as unsupported parameters, functions, data types, and extensions.

• It is typically more expensive than standard PostgreSQL or AWS RDS for PostgreSQL for the same workloads.
• It does not support all the extensions and features of standard PostgreSQL, such as logical replication, foreign data wrappers, and some data types.
• It does not provide host access to the DB instances or allow you to run custom extensions or scripts on them.