GenieDB
GenieDB

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Google Cloud SQL
Google Cloud SQL

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GenieDB vs Google Cloud SQL: What are the differences?

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; Google Cloud SQL: Store and manage data using a fully-managed, relational MySQL database. 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.

GenieDB and Google Cloud SQL belong to "SQL Database as a Service" category of the tech stack.

Some of the features offered by GenieDB are:

  • 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

On the other hand, Google Cloud SQL provides the following key features:

  • Familiar Infrastructure
  • Flexible Charging
  • Security, Availability, Durability
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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.

What is 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.

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

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            What are some alternatives to GenieDB and Google Cloud SQL?
            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.
            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.
            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.
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            Casey Smith uses Google Cloud SQLGoogle Cloud SQL

            Back-end datastore.

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