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Google Anthos vs Dimensigon: What are the differences?
Google Anthos: Bringing the Google Cloud to you. 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; Dimensigon: 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 Anthos can be classified as a tool in the "Hybrid Cloud as a Service" category, while Dimensigon is grouped under "SQL Database as a Service".
Some of the features offered by Google Anthos are:
- Google Kubernetes Engine Support
- GKE On-Prem Support
- Istio on GKE Support
On the other hand, Dimensigon provides the following key features:
- No Locked-In
- Check-out at any time
- 100% Transparency
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Learn MorePros of Dimensigon
Pros of Google Anthos
Pros of Dimensigon
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Pros of Google Anthos
- Operations support by Google SRE3
- Host Cloud Run (managed knative) anywhere2
- Policy enforcement via ACM1
- Automatic k8s upgrades1
- Access to Google Kubernetes Marketplace1
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Cons of Dimensigon
Cons of Google Anthos
Cons of Dimensigon
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Cons of Google Anthos
- Expensive3
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What is Dimensigon?
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.
What is 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.
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What companies use Dimensigon?
What companies use Google Anthos?
What companies use Dimensigon?
What companies use Google Anthos?
See which teams inside your own company are using Dimensigon or Google Anthos.
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What tools integrate with Dimensigon?
What tools integrate with Google Anthos?
What tools integrate with Google Anthos?
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What are some alternatives to Dimensigon and Google Anthos?
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 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.
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 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.
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.