Amazon RDS vs Google Cloud SQL vs TempoDB

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Amazon RDS
Amazon RDS

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Google Cloud SQL
Google Cloud SQL

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TempoDB
TempoDB

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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 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.

What is 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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Why do developers choose Amazon RDS?
Why do developers choose Google Cloud SQL?
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          What are some alternatives to Amazon RDS, Google Cloud SQL, and TempoDB?
          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.
          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.
          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.
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          Decisions about Amazon RDS, Google Cloud SQL, and TempoDB
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          How developers use Amazon RDS, Google Cloud SQL, and TempoDB
          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 Casey Smith
          Casey Smith uses Google Cloud SQLGoogle Cloud SQL

          Back-end datastore.

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