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Amazon Aurora

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

Amazon RDS for Aurora: 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; GenieDB: Multi-master, multi-cloud, geo-distributed MySQL database. GenieDB’s DBaaS uses multi-master replication and multi-regional distribution on multiple cloud infrastructures (Amazon AWS, IBM Softlayer, DigitalOcean, Rackspace Cloud, and Google Cloud) to help reduce latency, eliminate downtime, and easily scale your database.

Amazon RDS for Aurora and GenieDB can be primarily classified as "SQL Database as a Service" 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, GenieDB provides the following key features:

  • Multi-master replication with auto-conflict resolution
  • Geo-distribution across multiple regions and cloud providers using eventual consistency model with geo-compliance
  • Auto-recovery and healing with re-synchronization
Decisions about Amazon Aurora and GenieDB
Phillip Manwaring
Developer at Coach Align · | 5 upvotes · 29.1K views

Using on-demand read/write capacity while we scale our userbase - means that we're well within the free-tier on AWS while we scale the business and evaluate traffic patterns.

Using single-table design, which is dead simple using Jeremy Daly's dynamodb-toolbox library

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Pros of Amazon Aurora
Pros of GenieDB
  • 14
    MySQL compatibility
  • 12
    Better performance
  • 10
    Easy read scalability
  • 9
    Speed
  • 7
    Low latency read replica
  • 2
    High IOPS cost
  • 1
    Good cost performance
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    Cons of Amazon Aurora
    Cons of GenieDB
    • 2
      Vendor locking
    • 1
      Rigid schema
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      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 GenieDB?

      GenieDB’s DBaaS uses multi-master replication and multi-regional distribution on multiple cloud infrastructures (Amazon AWS, IBM Softlayer, DigitalOcean, Rackspace Cloud, and Google Cloud) to help reduce latency, eliminate downtime, and easily scale your database.

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

      What companies use Amazon Aurora?
      What companies use GenieDB?
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        What tools integrate with Amazon Aurora?
        What tools integrate with GenieDB?
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          What are some alternatives to Amazon Aurora and GenieDB?
          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.
          PostgreSQL
          PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
          MongoDB
          MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
          Redis
          Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
          Amazon S3
          Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
          See all alternatives