DigitalOcean Managed Databases vs Google Cloud SQL

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DigitalOcean Managed Databases
DigitalOcean Managed Databases

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DigitalOcean Managed Databases vs Google Cloud SQL: What are the differences?

What is DigitalOcean Managed Databases? Fully hosted and managed database engines for your applications, so you can focus on building, not patching. 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.

What is 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.

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

Some of the features offered by DigitalOcean Managed Databases are:

  • Multi-node database clustering
  • Automated failover support
  • Daily backups with Point in Time Recovery (7 days)

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 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.

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.
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          What are some alternatives to DigitalOcean Managed Databases 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.
          TempoDB
          TempoDB is the first database service for time series data (ex: measuring thermostat temperatures, network latencies, heart rates). Time series is a unique Big Data problem that breaks traditional databases (MySQL, MongoDB, etc). Today, businesses spend months and millions attempting to build solutions to manage all this data and yet still fail to store as much as they need or analyze it effectively. TempoDB is a purpose-built database service that enables businesses to store and analyze massive streams of time series data, so they can learn from the past, understand the present, and predict the future.
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          Casey Smith uses Google Cloud SQLGoogle Cloud SQL

          Back-end datastore.

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