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

Google Cloud SQL vs Sequel Pro

OverviewComparisonAlternatives

Overview

Google Cloud SQL
Google Cloud SQL
Stacks555
Followers580
Votes46
Sequel Pro
Sequel Pro
Stacks316
Followers366
Votes68
GitHub Stars9.2K
Forks838

Google Cloud SQL vs Sequel Pro: What are the differences?

Introduction:
Google Cloud SQL and Sequel Pro are two popular database management tools with distinct differences that cater to different needs of the users.

1. **Deployment**: Google Cloud SQL is a fully managed relational database service provided by Google Cloud Platform, allowing users to easily deploy, manage, and scale MySQL, PostgreSQL, and SQL Server databases in the cloud. On the other hand, Sequel Pro is a desktop application that serves as a MySQL database management tool, offering a more localized approach to database management.

2. **Platform**: Google Cloud SQL is a cloud-based service accessible through the Google Cloud Platform console, providing high availability and automated backups for data protection. In contrast, Sequel Pro is a standalone application compatible with macOS systems, offering a user-friendly interface for MySQL database administration.

3. **Cross-Platform Compatibility**: Google Cloud SQL offers cross-platform compatibility, allowing users to access and manage their databases from any device with internet connectivity. In comparison, Sequel Pro is limited to macOS systems, restricting users who prefer other operating systems from using the tool.

4. **Scalability**: Google Cloud SQL provides automated scaling capabilities, enabling users to adjust their database instances based on workload requirements without manual intervention. Conversely, Sequel Pro lacks built-in scalability features, requiring users to manually manage and optimize database performance.

5. **Collaboration and Integration**: Google Cloud SQL offers seamless integration with other Google Cloud services, such as Google Cloud Storage and BigQuery, facilitating collaboration and data analysis tasks. In contrast, Sequel Pro focuses primarily on database management tasks and may not offer extensive integration options with external tools and services.

6. **Pricing**: Google Cloud SQL follows a pay-as-you-go pricing model based on resource usage, offering flexibility for users to scale their databases according to their budget and requirements. Conversely, Sequel Pro is an open-source tool available for free, making it a cost-effective option for users with budget constraints but lacking the advanced features and support of a cloud-based service like Google Cloud SQL.

In Summary, Google Cloud SQL provides a cloud-based, scalable, and integrative approach to relational database management, while Sequel Pro offers a user-friendly desktop application for MySQL database administration with limitations in terms of platform compatibility and scalability. 

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Detailed Comparison

Google Cloud SQL
Google Cloud SQL
Sequel Pro
Sequel Pro

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

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

Familiar Infrastructure;Flexible Charging;Security, Availability, Durability;Easier Migration; No Lock-in;Fully managed
Quickly filter and paginate table content;Fast, threaded UI;Document based connections — Save your connection and share it;Use windows or tabs — whichever works best for you;Navigator for connecting to servers and constructing queries
Statistics
GitHub Stars
-
GitHub Stars
9.2K
GitHub Forks
-
GitHub Forks
838
Stacks
555
Stacks
316
Followers
580
Followers
366
Votes
46
Votes
68
Pros & Cons
Pros
  • 13
    Fully managed
  • 10
    SQL
  • 10
    Backed by Google
  • 4
    Flexible
  • 3
    Encryption at rest and transit
Pros
  • 25
    Free
  • 18
    Simple
  • 17
    Clean UI
  • 8
    Easy
Cons
  • 1
    Only available for Mac OS
Integrations
No integrations available
MySQL
MySQL

What are some alternatives to Google Cloud SQL, Sequel Pro?

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.

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.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

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