Amazon RDS vs Oracle

Get Advice Icon

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

Amazon RDS
Amazon RDS

5.5K
3.2K
+ 1
757
Oracle
Oracle

883
646
+ 1
81
Add tool

Amazon RDS vs Oracle: What are the differences?

What is Amazon RDS? Set up, operate, and scale a relational database in the cloud. 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.

What is Oracle? An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism. Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.

Amazon RDS and Oracle are primarily classified as "SQL Database as a Service" and "Databases" tools respectively.

"Reliable failovers" is the primary reason why developers consider Amazon RDS over the competitors, whereas "Reliable" was stated as the key factor in picking Oracle.

According to the StackShare community, Amazon RDS has a broader approval, being mentioned in 1437 company stacks & 526 developers stacks; compared to Oracle, which is listed in 106 company stacks and 92 developer stacks.

- No public GitHub repository available -
- No public GitHub repository available -

What is 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.

What is Oracle?

Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
Get Advice Icon

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

Why do developers choose Amazon RDS?
Why do developers choose Oracle?

Sign up to add, upvote and see more prosMake informed product decisions

    Be the first to leave a con
    What companies use Amazon RDS?
    What companies use Oracle?

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Amazon RDS?
    What tools integrate with Oracle?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Amazon RDS and Oracle?
    Amazon Redshift
    It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
    Apache Aurora
    Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    Heroku Postgres
    Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.
    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.
    See all alternatives
    Decisions about Amazon RDS and Oracle
    Tim Specht
    Tim Specht
    ‎Co-Founder and CTO at Dubsmash · | 13 upvotes · 72.9K 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 · 866.2K 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.

    See more
    Interest over time
    Reviews of Amazon RDS and Oracle
    No reviews found
    How developers use Amazon RDS and Oracle
    Avatar of Pathwright
    Pathwright uses Amazon RDSAmazon RDS

    While we initially started off running our own Postgres cluster, we evaluated RDS and found it to be an excellent fit for us.

    The failovers, manual scaling, replication, Postgres upgrades, and pretty much everything else has been super smooth and reliable.

    We'll probably need something a little more complex in the future, but RDS performs admirably for now.

    Avatar of AngeloR
    AngeloR uses Amazon RDSAmazon RDS

    We are using RDS for managing PostgreSQL and legacy MSSQL databases.

    Unfortunately while RDS works great for managing the PostgreSQL systems, MSSQL is very much a second class citizen and they don't offer very much capability. Infact, in order to upgrade instance storage for MSSQL we actually have to spin up a new cluster and migrate the data over.

    Avatar of Wirkn Inc.
    Wirkn Inc. uses Amazon RDSAmazon RDS

    Our PostgreSQL servers, where we keep the bulk of Wirkn data, are hosted on the fantastically easy and reliable AWS RDS platform.

    Avatar of Digital2Go
    Digital2Go uses Amazon RDSAmazon RDS

    We use Aurora for our OLTP database, it provides significant speed increases on top of MySQL without the need to manage it

    Avatar of fadingdust
    fadingdust uses Amazon RDSAmazon RDS

    RDS allows us to replicate the development databases locally as well as making it available to CircleCI.

    Avatar of Onezino Gabriel
    Onezino Gabriel uses OracleOracle

    Gerenciamento de banco de dados utilizados por odos os serviços/aplicações criados

    Avatar of Adrian Harabulă
    Adrian Harabulă uses OracleOracle

    recommended solution at school, also used to try out alternatives to MySQL

    Avatar of Satoru Ishikawa
    Satoru Ishikawa uses OracleOracle

    データベース構成設計や実際のデータ操作など。実作業では9i, 10g, 11gを触った。

    Avatar of Hyunwoo Shim
    Hyunwoo Shim uses OracleOracle

    Oracle을 통해 RDB를 학습하였습니다.

    Avatar of douglasresende
    douglasresende uses OracleOracle

    I'm expert database.

    How much does Amazon RDS cost?
    How much does Oracle cost?
    Pricing unavailable
    News about Oracle
    More news