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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Amazon RDS for Aurora vs Liquibase

Amazon RDS for Aurora vs Liquibase

OverviewComparisonAlternatives

Overview

Liquibase
Liquibase
Stacks638
Followers648
Votes70
GitHub Stars5.3K
Forks1.9K
Amazon Aurora
Amazon Aurora
Stacks807
Followers745
Votes55

Amazon RDS for Aurora vs Liquibase: What are the differences?

Introduction

Amazon RDS for Aurora is a managed relational database service offered by Amazon Web Services (AWS), while Liquibase is an open-source database migration tool. Both solutions provide functionalities for managing databases, but they have key differences that set them apart.

  1. Deployment and Management: Amazon RDS for Aurora simplifies database deployment and management by handling tasks such as software patching, backups, and scaling automatically. In contrast, Liquibase requires manual configuration and management, making it more suitable for development environments where there is flexibility for manual operations.

  2. Scalability: Amazon RDS for Aurora provides automatic scalability by dynamically scaling storage and compute resources based on demand. This allows for seamless handling of increasing workloads without manual intervention. On the other hand, Liquibase does not provide built-in scalability features and requires manual effort to scale the database infrastructure.

  3. High Availability: Amazon RDS for Aurora offers built-in high availability by replicating data across multiple Availability Zones (AZs) within a region. This ensures that if one AZ becomes unavailable, the database can still operate without disruption. Liquibase, being a database migration tool, does not inherently provide high availability features and would require additional configuration to achieve a similar level of fault tolerance.

  4. Compatibility: Amazon RDS for Aurora is compatible with MySQL and PostgreSQL database engines, allowing easy migration of applications built on these platforms. Liquibase, being a database migration tool, can be used with a wider range of database engines, allowing for more flexibility in terms of database compatibility.

  5. Ease of Use: Amazon RDS for Aurora provides a user-friendly interface and management console, making it simple for users to configure and monitor their databases. Liquibase, being a command-line tool, requires a higher level of technical expertise and familiarity with command-line operations.

  6. Cost: Amazon RDS for Aurora is a commercially offered service that incurs costs based on usage and resource consumption. Liquibase, being an open-source tool, is free to use and does not incur any direct costs. However, Liquibase may require additional resources for hosting and maintenance, which can indirectly incur costs.

In summary, Amazon RDS for Aurora is a managed database service that offers simplified deployment, automatic scaling, high availability, and compatibility with MySQL and PostgreSQL. Liquibase, on the other hand, is an open-source tool that requires manual configuration and management, offers flexibility in terms of database compatibility, and does not incur direct costs.

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Detailed Comparison

Liquibase
Liquibase
Amazon Aurora
Amazon Aurora

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.

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.

Supports code branching and merging;Supports multiple developers;Supports multiple database types;Supports XML, YAML, JSON and SQL formats;Supports context-dependent logic;Cluster-safe database upgrades;Generate Database change documentation;Rollbacks;Generate Database "diff's";Run through your build process, embedded in your application or on demand;Automatically generate SQL scripts for DBA code review;Does not require a live database connection;Stored logic
High Throughput with Low Jitter;Push-button Compute Scaling;Storage Auto-scaling;Amazon Aurora Replicas;Instance Monitoring and Repair;Fault-tolerant and Self-healing Storage;Automatic, Continuous, Incremental Backups and Point-in-time Restore;Database Snapshots;Resource-level Permissions;Easy Migration;Monitoring and Metrics
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
638
Stacks
807
Followers
648
Followers
745
Votes
70
Votes
55
Pros & Cons
Pros
  • 18
    Many DBs supported
  • 18
    Great database tool
  • 12
    Easy setup
  • 8
    Database independent migration scripts
  • 5
    Database version controller
Cons
  • 5
    Documentation is disorganized
  • 5
    No vendor specifics in XML format - needs workarounds
Pros
  • 14
    MySQL compatibility
  • 12
    Better performance
  • 10
    Easy read scalability
  • 9
    Speed
  • 7
    Low latency read replica
Cons
  • 2
    Vendor locking
  • 1
    Rigid schema
Integrations
Amazon RDS for MariaDB
Amazon RDS for MariaDB
Travis CI
Travis CI
SAP HANA
SAP HANA
Oracle
Oracle
PostgreSQL
PostgreSQL
Sybase
Sybase
jFrog
jFrog
GitHub Actions
GitHub Actions
Firebird
Firebird
IBM DB2
IBM DB2
PostgreSQL
PostgreSQL
MySQL
MySQL

What are some alternatives to Liquibase, Amazon Aurora?

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.

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.

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.

Google Cloud SQL

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.

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