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Google Cloud SQL

524
547
+ 1
46
TempoDB

3
11
+ 1
0
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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
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Pros of Google Cloud SQL
Pros of TempoDB
  • 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
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    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.

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    What companies use Google Cloud SQL?
    What companies use TempoDB?
    See which teams inside your own company are using Google Cloud SQL or TempoDB.
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    What tools integrate with Google Cloud SQL?
    What tools integrate with TempoDB?

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    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.
    Google Cloud Datastore
    Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
    Google Cloud Spanner
    It is a globally distributed database service that gives developers a production-ready storage solution. It provides key features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    See all alternatives