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Amazon Aurora

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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.

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Pros of Amazon Aurora
Pros of PostGIS
  • 13
    MySQL compatibility
  • 12
    Better performance
  • 10
    Easy read scalability
  • 8
    Speed
  • 7
    Low latency read replica
  • 2
    High IOPS cost
  • 1
    Good cost performance
  • 24
    De facto GIS in SQL
  • 5
    Good Documentation

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Cons of Amazon Aurora
Cons of PostGIS
  • 2
    Vendor locking
  • 1
    Rigid schema
    Be the first to leave a con

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    - No public GitHub repository available -

    What is Amazon 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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Amazon Aurora?
    What companies use PostGIS?
    See which teams inside your own company are using Amazon Aurora or PostGIS.
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    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Amazon Aurora?
    What tools integrate with PostGIS?

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    What are some alternatives to Amazon 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.
    Azure SQL Database
    It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.
    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.
    Books
    It is an immutable double-entry accounting database service. It supports many clients and businesses at global scale, leaning on Google Cloud Spanner and Google Kubernetes Engine to make that possible.
    See all alternatives
    How developers use Amazon Aurora and PostGIS
    Kalibrr uses
    PostGIS

    PostGIS makes it easy (and fast) to do geographic queries, such as nearest-neighbor and bounding box queries.

    Secumail uses
    Amazon Aurora

    Managed MySQL clustered database so I dont have to deal with the required infrastructure

    Sail Tactics uses
    PostGIS

    Backend for weather forecast data that Geoserver queries to build updated weather maps

    RedLine13 uses
    Amazon Aurora

    Core database for managing users, teams, tests, and result summaries

    Yaakov Gesher uses
    Amazon Aurora

    We moved our database from compose.io to AWS for speed and price.

    Bùi Thanh uses
    Amazon Aurora
    • Performance, HA and Scalable.
    • AutoScale replicas.
    Mathias Vonende uses
    PostGIS

    Storage for geo data.

    DNT uses
    PostGIS

    Geospatial queries