Amazon RDS for Aurora vs PostGIS

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Amazon RDS for 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.

- 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.
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    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.
    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.
    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.
    See all alternatives
    Decisions about Amazon RDS for Aurora and PostGIS
    Tim Specht
    Tim Specht
    ‎Co-Founder and CTO at Dubsmash · | 13 upvotes · 63.5K views
    atDubsmashDubsmash
    PostgreSQL
    PostgreSQL
    Heroku
    Heroku
    Amazon RDS
    Amazon RDS
    Amazon DynamoDB
    Amazon DynamoDB
    Redis
    Redis
    Amazon RDS for Aurora
    Amazon RDS for Aurora
    #SqlDatabaseAsAService
    #NosqlDatabaseAsAService
    #Databases
    #PlatformAsAService

    Over the years we have added a wide variety of different storages to our stack including PostgreSQL (some hosted by Heroku, some by Amazon RDS) for storing relational data, Amazon DynamoDB to store non-relational data like recommendations & user connections, or Redis to hold pre-aggregated data to speed up API endpoints.

    Since we started running Postgres ourselves on RDS instead of only using the managed offerings of Heroku, we've gained additional flexibility in scaling our application while reducing costs at the same time.

    We are also heavily testing Amazon RDS for Aurora in its Postgres-compatible version and will also give the new release of Aurora Serverless a try!

    #SqlDatabaseAsAService #NosqlDatabaseAsAService #Databases #PlatformAsAService

    See more
    Julien DeFrance
    Julien DeFrance
    Principal Software Engineer at Tophatter · | 16 upvotes · 503.8K views
    atSmartZipSmartZip
    Rails
    Rails
    Rails API
    Rails API
    AWS Elastic Beanstalk
    AWS Elastic Beanstalk
    Capistrano
    Capistrano
    Docker
    Docker
    Amazon S3
    Amazon S3
    Amazon RDS
    Amazon RDS
    MySQL
    MySQL
    Amazon RDS for Aurora
    Amazon RDS for Aurora
    Amazon ElastiCache
    Amazon ElastiCache
    Memcached
    Memcached
    Amazon CloudFront
    Amazon CloudFront
    Segment
    Segment
    Zapier
    Zapier
    Amazon Redshift
    Amazon Redshift
    Amazon Quicksight
    Amazon Quicksight
    Superset
    Superset
    Elasticsearch
    Elasticsearch
    Amazon Elasticsearch Service
    Amazon Elasticsearch Service
    New Relic
    New Relic
    AWS Lambda
    AWS Lambda
    Node.js
    Node.js
    Ruby
    Ruby
    Amazon DynamoDB
    Amazon DynamoDB
    Algolia
    Algolia

    Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting. This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email... The company also does provide Data APIs to Enterprise customers.

    I had inherited years and years of technical debt and I knew things had to change radically. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.

    For the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on.

    Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance. Combined with Docker so our application would run within its own container, independently from the underlying host configuration.

    Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. On the database side: Amazon RDS / MySQL initially. Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. Once again, here you need a managed service your cloud provider handles for you.

    Future improvements / technology decisions included:

    Caching: Amazon ElastiCache / Memcached CDN: Amazon CloudFront Systems Integration: Segment / Zapier Data-warehousing: Amazon Redshift BI: Amazon Quicksight / Superset Search: Elasticsearch / Amazon Elasticsearch Service / Algolia Monitoring: New Relic

    As our usage grows, patterns changed, and/or our business needs evolved, my role as Engineering Manager then Director of Engineering was also to ensure my team kept on learning and innovating, while delivering on business value.

    One of these innovations was to get ourselves into Serverless : Adopting AWS Lambda was a big step forward. At the time, only available for Node.js (Not Ruby ) but a great way to handle cost efficiency, unpredictable traffic, sudden bursts of traffic... Ultimately you want the whole chain of services involved in a call to be serverless, and that's when we've started leveraging Amazon DynamoDB on these projects so they'd be fully scalable.

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    Interest over time
    Reviews of Amazon RDS for Aurora and PostGIS
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    How developers use Amazon RDS for Aurora and PostGIS
    Avatar of Kalibrr
    Kalibrr uses PostGISPostGIS

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

    Avatar of Secumail
    Secumail uses Amazon RDS for AuroraAmazon RDS for Aurora

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

    Avatar of Sail Tactics
    Sail Tactics uses PostGISPostGIS

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

    Avatar of RedLine13
    RedLine13 uses Amazon RDS for AuroraAmazon RDS for Aurora

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

    Avatar of Yaakov Gesher
    Yaakov Gesher uses Amazon RDS for AuroraAmazon RDS for Aurora

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

    Avatar of Bùi Thanh
    Bùi Thanh uses Amazon RDS for AuroraAmazon RDS for Aurora
    • Performance, HA and Scalable.
    • AutoScale replicas.
    Avatar of Mathias Vonende
    Mathias Vonende uses PostGISPostGIS

    Storage for geo data.

    Avatar of DNT
    DNT uses PostGISPostGIS

    Geospatial queries

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