Google Cloud SQL
Google Cloud SQL

218
112
+ 1
44
TempoDB
TempoDB

2
1
+ 1
0
Add tool

Google Cloud SQL vs TempoDB: What are the differences?

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.

What is TempoDB? Store & analyze time series data from sensors, smart meters, servers & more. 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.

Google Cloud SQL and TempoDB can be categorized as "SQL Database as a Service" tools.

Some of the features offered by Google Cloud SQL are:

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

On the other hand, TempoDB provides the following key features:

  • Flexible, powerful API
  • Store as much high resolution (1 ms max) time series data as you need for long range historical analysis
  • We guarantee data availability and protect against loss by replicating each live datapoint 3x and using geographically distributed backup environments
- No public GitHub repository available -
- No public GitHub repository available -

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.

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

Why do developers choose Google Cloud SQL?
Why do developers choose TempoDB?
    Be the first to leave a pro

    Sign up to add, upvote and see more prosMake informed product decisions

    What are the cons of using Google Cloud SQL?
    What are the cons of using TempoDB?
      Be the first to leave a con
        Be the first to leave a con
        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 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 Google Cloud SQL and TempoDB?
        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.
        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.
        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.
        See all alternatives
        Decisions about Google Cloud SQL and TempoDB
        No stack decisions found
        Interest over time
        Reviews of Google Cloud SQL and TempoDB
        No reviews found
        How developers use Google Cloud SQL and TempoDB
        Avatar of Casey Smith
        Casey Smith uses Google Cloud SQLGoogle Cloud SQL

        Back-end datastore.

        How much does Google Cloud SQL cost?
        How much does TempoDB cost?
        Pricing unavailable
        News about TempoDB
        More news