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

Google Cloud SQL vs OmniDB

OverviewComparisonAlternatives

Overview

Google Cloud SQL
Google Cloud SQL
Stacks555
Followers580
Votes46
OmniDB
OmniDB
Stacks11
Followers63
Votes0
GitHub Stars3.3K
Forks467

Google Cloud SQL vs OmniDB: 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 OmniDB? An Open Source Web Tool for Database Management and Conversion. OmniDB is a web tool that simplifies database management focusing on interactivity, designed to be powerful and lightweight.

Google Cloud SQL belongs to "SQL Database as a Service" category of the tech stack, while OmniDB can be primarily classified under "Database Tools".

Some of the features offered by Google Cloud SQL are:

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

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

  • Web Tool: Accessible from any platform, using a browser as a medium
  • Responsive Interface: All available functions in a single page
  • Unified Workspace: Different technologies managed in a single workspace

OmniDB is an open source tool with 1.62K GitHub stars and 201 GitHub forks. Here's a link to OmniDB's open source repository on GitHub.

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Detailed Comparison

Google Cloud SQL
Google Cloud SQL
OmniDB
OmniDB

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

OmniDB is a web tool that simplifies database management focusing on interactivity, designed to be powerful and lightweight.

Familiar Infrastructure;Flexible Charging;Security, Availability, Durability;Easier Migration; No Lock-in;Fully managed
Web Tool: Accessible from any platform, using a browser as a medium;Responsive Interface: All available functions in a single page;Unified Workspace: Different technologies managed in a single workspace;Simplified Editing: Easy to add and remove connections;Safety: Multi-user support with encrypted personal information;Interactive Tables: All functionalities use interactive tables, allowing copying and pasting in blocks;Smart SQL Editor: Contextual SQL code completion;Beautiful SQL Editor: You can choose between many available color themes;Tabbed SQL Editor: Easily add, rename or delete editor tabs
Statistics
GitHub Stars
-
GitHub Stars
3.3K
GitHub Forks
-
GitHub Forks
467
Stacks
555
Stacks
11
Followers
580
Followers
63
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
PostgreSQL
PostgreSQL
Oracle
Oracle
Firebird
Firebird
MySQL
MySQL
SQLite
SQLite
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to Google Cloud SQL, OmniDB?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

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.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

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.

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