Stacks270

Jobs128

Votes45

PostGIS

Stacks173

Jobs49

Votes28

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Amazon RDS for Aurora vs PostGIS: What are the differences?

Developers describe Amazon RDS for Aurora as "MySQL and PostgreSQL compatible relational database with several times better performance". Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability. On the other hand, PostGIS is detailed as "Open source spatial database". PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

Amazon RDS for Aurora belongs to "SQL Database as a Service" category of the tech stack, while PostGIS can be primarily classified under "Database Tools".

Some of the features offered by Amazon RDS for Aurora are:

High Throughput with Low Jitter
Push-button Compute Scaling
Storage Auto-scaling

On the other hand, PostGIS provides the following key features:

Processing and analytic functions for both vector and raster data for splicing, dicing, morphing, reclassifying, and collecting/unioning with the power of SQL
raster map algebra for fine-grained raster processing
Spatial reprojection SQL callable functions for both vector and raster data

"MySQL compatibility " is the top reason why over 11 developers like Amazon RDS for Aurora, while over 22 developers mention "De facto GIS in SQL" as the leading cause for choosing PostGIS.

PostGIS is an open source tool with 636 GitHub stars and 242 GitHub forks. Here's a link to PostGIS's open source repository on GitHub.

StackShare, GoGuardian, and Akoova are some of the popular companies that use Amazon RDS for Aurora, whereas PostGIS is used by Key Location, HotelTonight, and DNT. Amazon RDS for Aurora has a broader approval, being mentioned in 116 company stacks & 30 developers stacks; compared to PostGIS, which is listed in 53 company stacks and 14 developer stacks.

No Stats

- No public GitHub repository available -

What is Amazon RDS for Aurora?

Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.

What is PostGIS?

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

Want advice about which of these to choose?Ask the StackShare community!

Why do developers choose Amazon RDS for Aurora?

Why do developers choose PostGIS?

12
MySQL compatibility
11
Better performance
9
Easy read scalability
6
Low latency read replica
6
Speed
1
Good cost performance

23
De facto GIS in SQL
5
Good Documentation

What are the cons of using Amazon RDS for Aurora?

What are the cons of using PostGIS?

0
Vendor locking

Be the first to leave a con

What companies use Amazon RDS for Aurora?

What companies use PostGIS?

What are some alternatives to Amazon RDS for Aurora and PostGIS?

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

Google Cloud SQL

MySQL databases deployed in the cloud without a fuss. Google Cloud Platform provides you with powerful databases that run fast, don’t run out of space and give your application the redundant, reliable storage it needs.

ClearDB

ClearDB uses a combination of advanced replication techniques, advanced cluster technology, and layered web services to provide you with a MySQL database that is "smarter" than usual.

Azure Database for MySQL

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

DigitalOcean Managed Databases

Build apps and store data in minutes with easy access to one or more databases and sleep better knowing your data is backed up and optimized.

See all alternatives

What tools integrate with Amazon RDS for Aurora?

What tools integrate with PostGIS?