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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. SQL Database As A Service
  5. Dimensigon vs Google Cloud SQL

Dimensigon vs Google Cloud SQL

OverviewComparisonAlternatives

Overview

Google Cloud SQL
Google Cloud SQL
Stacks555
Followers580
Votes46
Dimensigon
Dimensigon
Stacks1
Followers4
Votes0

Google Cloud SQL vs Dimensigon: What are the differences?

Developers describe Google Cloud SQL as "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. On the other hand, Dimensigon is detailed as "Online service to deploy production-ready ELASTIC environments". It is an online service to deploy production-ready ELASTIC environments with the comfort of an online shop. Targeted for DB Developers and Large companies to embed our automation for provisioning, 'DM' is the underlying self-develop technology for distributed managed to coordinate complex orchestrations.

Google Cloud SQL and Dimensigon can be primarily classified 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, Dimensigon provides the following key features:

  • No Locked-In
  • Check-out at any time
  • 100% Transparency

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Detailed Comparison

Google Cloud SQL
Google Cloud SQL
Dimensigon
Dimensigon

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

It is an online service to deploy production-ready ELASTIC environments with the comfort of an online shop. Targeted for DB Developers and Large companies to embed our automation for provisioning, 'DM' is the underlying self-develop technology for distributed managed to coordinate complex orchestrations.

Familiar Infrastructure;Flexible Charging;Security, Availability, Durability;Easier Migration; No Lock-in;Fully managed
No Locked-In; Check-out at any time; 100% Transparency; Full Access to your Infrastructure
Statistics
Stacks
555
Stacks
1
Followers
580
Followers
4
Votes
46
Votes
0
Pros & Cons
Pros
  • 13
    Fully managed
  • 10
    SQL
  • 10
    Backed by Google
  • 4
    Flexible
  • 3
    Encryption at rest and transit
No community feedback yet
Integrations
No integrations available
Tibero
Tibero
LeanXcale
LeanXcale
Exasol
Exasol

What are some alternatives to Google Cloud SQL, Dimensigon?

Amazon RDS

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 Aurora

Amazon 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

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 SQL Database

Azure SQL Database

It is the intelligent, scalable, cloud database service that provides the broadest SQL Server engine compatibility and up to a 212% return on investment. It is a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software.

Google Anthos

Google Anthos

Formerly Cloud Services Platform, Anthos lets you build and manage modern hybrid applications across environments. Powered by Kubernetes and other industry-leading open-source technologies from Google.

Azure Stack

Azure Stack

The Azure Stack is a portfolio of products that extend Azure services and capabilities to your environment of choice—from the datacenter to edge locations and remote offices. The portfolio enables hybrid and edge computing applications to be built, deployed, and run consistently across location boundaries, providing choice and flexibility to address your diverse workloads.

Cloud DB for Mysql

Cloud DB for Mysql

It is a fully managed cloud cache service that enables you to easily configure a MySQL database with a few settings and clicks and operate it reliably with NAVER's optimization settings, and that automatically recovers from failures.

PlanetScaleDB

PlanetScaleDB

It is a fully managed cloud native database-as-a-service built on Vitess and Kubernetes. A MySQL compatible highly scalable database. Effortlessly deploy, manage, and monitor your databases in multiple regions and across cloud providers.

DigitalOcean Managed Databases

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.

Azure Database for MySQL

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.

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