| | Google SQL for PostgreSQL |
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Description | 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.
| Google SQL for PostgreSQL is a service that allows you to run a PostgreSQL database on the cloud with Google Cloud Platform. It is a managed service that handles tasks such as installation, upgrades, backups, replication, and scaling of your PostgreSQL database. You can use Google SQL for PostgreSQL with any application or tool that supports PostgreSQL.
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Pricing | 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.
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- CPU and memory: You can choose the number of CPUs and the amount of memory you want, up to 96 CPUs and 624 GB of memory. The price per vCPU starts from $0.0413 per hour and the price per GB of memory starts from $0.007 per hour. If you configure your instance for high availability, the prices are doubled. You can also use Committed Use Discounts to get lower prices for one or three year terms.
- Storage and networking: You can choose between SSD or HDD storage types. The price per GB of storage starts from $0.17 per month for SSD and $0.09 per month for HDD. If you configure your instance for high availability, the prices are doubled. You also pay for the backups you use, which start from $0.08 per GB per month. The network ingress to Cloud SQL is free, but the network egress is charged based on the destination region. The price per GB of egress starts from $0.12 ($0.05 if you use Cloud Interconnect). You also pay for the IPv4 addresses you use, which cost $0.01 per hour while idle.
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Pros |
- 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.
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- It is a fully managed service that handles tasks such as installation, upgrades, backups, replication, and scaling of your PostgreSQL database.
- It supports several versions of PostgreSQL, from 9.6 to 14, and offers features such as SSL/TLS encryption, Point-in-Time Recovery, and Cloud SQL Insights.
- It provides high availability and durability with regional instances and read replicas.
- It supports integrations with key services like Google Kubernetes Engine , BigQuery , and Cloud Run .
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Cons |
- 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.
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- It is more expensive than running self-managed PostgreSQL on Compute Engine instances.
- It does not provide host access to the DB instances 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.
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