Amazon RDS vs Google Cloud SQL vs TempoDB

Get Advice Icon

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

Amazon RDS

16K
10.8K
+ 1
761
Google Cloud SQL

554
579
+ 1
46
TempoDB

4
11
+ 1
0
Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Amazon RDS
Pros of Google Cloud SQL
Pros of TempoDB
  • 165
    Reliable failovers
  • 156
    Automated backups
  • 130
    Backed by amazon
  • 92
    Db snapshots
  • 87
    Multi-availability
  • 30
    Control iops, fast restore to point of time
  • 28
    Security
  • 24
    Elastic
  • 20
    Push-button scaling
  • 20
    Automatic software patching
  • 4
    Replication
  • 3
    Reliable
  • 2
    Isolation
  • 13
    Fully managed
  • 10
    Backed by Google
  • 10
    SQL
  • 4
    Flexible
  • 3
    Encryption at rest and transit
  • 3
    Automatic Software Patching
  • 3
    Replication across multiple zone by default
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    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?

    Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

    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.

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

    What companies use Amazon RDS?
    What companies use Google Cloud SQL?
    What companies use TempoDB?

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

    What tools integrate with Amazon RDS?
    What tools integrate with Google Cloud SQL?
    What tools integrate with TempoDB?

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

    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.
    See all alternatives