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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Flyway vs Spring Data

Flyway vs Spring Data

OverviewComparisonAlternatives

Overview

Flyway
Flyway
Stacks305
Followers563
Votes33
GitHub Stars9.2K
Forks1.6K
Spring Data
Spring Data
Stacks883
Followers408
Votes0
GitHub Stars95
Forks84

Flyway vs Spring Data: What are the differences?

Introduction:

In web development, there are various tools and frameworks available to assist developers in managing databases and data migrations. Two popular tools in this area are Flyway and Spring Data. While both are used for managing database migrations, they have some key differences that set them apart.

1. Flyway: Minimalistic Database Migration: Flyway is a lightweight database migration tool that focuses on simplicity and ease of use. It uses SQL scripts to define and execute database schema changes. Flyway supports multiple databases and can be integrated into various development environments. It provides automatic and versioned migration execution, ensuring that database changes are applied in an organized and controlled manner.

2. Spring Data: Simplified Database Access: Spring Data, on the other hand, is a framework that provides a simpler way to interact with databases. It offers a high-level, consistent API for accessing different database technologies. Spring Data supports a wide range of databases and allows developers to write repository interfaces with custom queries, eliminating the need for boilerplate code. It also offers built-in support for caching, auditing, and transactions.

3. Flyway: Script-Based Migration Approach: Flyway adopts a script-based migration approach, where database schema changes are defined and executed using SQL scripts. This provides developers with full control over the migration process and allows for fine-grained customization. However, it requires developers to manually write and manage migration scripts as part of the development workflow.

4. Spring Data: Annotation-Based Migration Approach: In contrast, Spring Data relies on annotations and conventions to perform database migrations. It uses automatic schema generation and modification based on entity classes and their metadata. This approach reduces the need for writing explicit migration scripts, making it more suitable for rapid prototyping or simple applications. However, it may lack the flexibility and control provided by manual script-based migrations.

5. Flyway: Explicit Version Control: Flyway enforces explicit version control for database migrations. Each migration script has a version associated with it, and Flyway ensures that only the pending migrations are executed in the correct order. This helps maintain a well-structured and consistent database schema across different environments and avoids conflicts when multiple developers are working on the same project.

6. Spring Data: Persistence API Abstraction: Spring Data provides a higher level of abstraction by offering a common API for working with different database technologies. It abstracts away the implementation details and differences between databases, allowing developers to switch between backends without changing their code. This makes it easier to develop and maintain applications that need to support multiple databases or switch databases in the future.

In summary, Flyway is a minimalistic database migration tool that focuses on script-based migrations and explicit version control. In contrast, Spring Data simplifies database access with its annotation-based migration approach and provides a persistence API abstraction for working with different databases.

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Detailed Comparison

Flyway
Flyway
Spring Data
Spring Data

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.

Supported databases: Oracle, SQL Server, SQL Azure, DB2, DB2 z/OS, MySQL, MariaDB, Google Cloud SQL, PostgreSQL, Redshift, Vertica, H2, Hsql, Derby, SQLite;Supported build tools: Maven, Gradle, Ant and SBT;Works on: Windows, Mac OSX, Linux, Java and Android
Powerful repository; Custom object-mapping abstractions; Dynamic query derivation
Statistics
GitHub Stars
9.2K
GitHub Stars
95
GitHub Forks
1.6K
GitHub Forks
84
Stacks
305
Stacks
883
Followers
563
Followers
408
Votes
33
Votes
0
Pros & Cons
Pros
  • 13
    Superb tool, easy to configure and use
  • 9
    Very easy to config, great support on plain sql scripts
  • 6
    Is fantastic and easy to install even with complex DB
  • 4
    Simple and intuitive
  • 1
    Easy tool to implement incremental migration
Cons
  • 3
    "Undo Migrations" requires pro version, very expensive
No community feedback yet
Integrations
Windows
Windows
Java
Java
Gradle
Gradle
Apache Maven
Apache Maven
Docker
Docker
MongoDB
MongoDB
Spring MVC
Spring MVC
Redis
Redis
ArangoDB
ArangoDB

What are some alternatives to Flyway, Spring Data?

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.

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.

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.

PostGIS

PostGIS

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

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