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

GenieDB vs Google Cloud SQL

OverviewComparisonAlternatives

Overview

Google Cloud SQL
Google Cloud SQL
Stacks555
Followers580
Votes46
GenieDB
GenieDB
Stacks0
Followers5
Votes0

GenieDB vs Google Cloud SQL: What are the differences?

# Introduction

GenieDB and Google Cloud SQL are both popular database management systems that offer different features and functionalities. Understanding the key differences between these two platforms is essential for determining which one best fits your specific needs.

1. **Architecture**: GenieDB utilizes a multi-master replication model, allowing for distributed database deployments across multiple regions for high availability and performance. On the other hand, Google Cloud SQL follows a traditional master-slave replication setup, suitable for simpler applications without the need for complex distribution.

2. **Scalability**: GenieDB is designed to scale horizontally by adding additional nodes to the cluster as the data size and workload increase, providing seamless scalability without downtime. Google Cloud SQL, while offering scaling capabilities, has limitations in terms of horizontal scaling as it primarily focuses on vertical scaling through increasing compute and storage resources.

3. **Compatibility**: GenieDB is compatible with various database engines, including MySQL and MariaDB, allowing for easy migration of existing databases to their platform. In contrast, Google Cloud SQL is a managed service catering primarily to MySQL and PostgreSQL databases, limiting the options for users with different database requirements.

4. **Backup and Recovery**: GenieDB offers continuous backup and point-in-time recovery features that ensure minimal data loss and quick recovery in case of failures. Google Cloud SQL also provides backup options, including automated backups and replication, but may have certain limitations in terms of recovery granularity and speed.

5. **Security:** GenieDB offers robust security features such as data encryption at rest and in transit, role-based access control, and auditing capabilities to ensure data protection and compliance with regulatory standards. Google Cloud SQL also prioritizes security with features like encryption, IAM roles, and network controls, but users may need to configure additional security measures for specific requirements.

6. **Cost**: GenieDB pricing is based on a pay-as-you-go model, with options for different performance tiers and flexible billing based on usage. On the other hand, Google Cloud SQL offers a similar pay-as-you-go pricing structure but may have additional costs for features like automated backups, storage snapshots, and cross-region replication.

In Summary, understanding the key differences between GenieDB and Google Cloud SQL in terms of architecture, scalability, compatibility, backup and recovery, security, and cost is crucial for making an informed decision on selecting the most suitable database management system for your specific needs.

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Detailed Comparison

Google Cloud SQL
Google Cloud SQL
GenieDB
GenieDB

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

GenieDB’s DBaaS uses multi-master replication and multi-regional distribution on multiple cloud infrastructures (Amazon AWS, IBM Softlayer, DigitalOcean, Rackspace Cloud, and Google Cloud) to help reduce latency, eliminate downtime, and easily scale your database.

Familiar Infrastructure;Flexible Charging;Security, Availability, Durability;Easier Migration; No Lock-in;Fully managed
Multi-master replication with auto-conflict resolution; Geo-distribution across multiple regions and cloud providers using eventual consistency model with geo-compliance; Auto-recovery and healing with re-synchronization; Data security using industry standard SSL encryption and firewall; Elastic scaling by adding new nodes/clusters or by increasing capacity on existing servers; Rapid database provisioning across multiple cloud providers and regions; Easy MySQL migration that supports MySQL dump
Statistics
Stacks
555
Stacks
0
Followers
580
Followers
5
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

What are some alternatives to Google Cloud SQL, GenieDB?

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.

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.

Books

Books

It is an immutable double-entry accounting database service. It supports many clients and businesses at global scale, leaning on Google Cloud Spanner and Google Kubernetes Engine to make that possible.

Aiven

Aiven

A fully-managed and hosted database as a service (DBaaS) that provides enterprises of every size access to secure and scalable open-source database and messaging services on all major clouds across the globe.

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